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DOI:10.2214/AJR.04.0857
AJR 2006; 187:1092-1106
© American Roentgen Ray Society


Review

Live 3D Echocardiography: A Replacement for Traditional 2D Echocardiography?

Robin C. Houck1,2, Jason E. Cooke1,3 and Edward A. Gill1

1 Department of Medicine, Division of Cardiology, University of Washington School of Medicine, Harborview Medical Center, Box 359748, 329 Ninth Ave., Seattle, WA 98104-2599.
2 Present address: Medicine Department, University of Vermont, Burlington, VT.
3 Present address: Medtronic, Inc., Minneapolis, MN.

Received June 1, 2004; accepted after revision April 10, 2006.

 
Address correspondence to E. A. Gill.


Abstract
Top
Abstract
Introduction
Three-Dimensional...
Perceived and Proven Clinical...
Conclusions
References
 
OBJECTIVE. We describe the development of real-time 3D imaging and review the previously used versions of 3D echocardiography so that the reader will appreciate why current developments truly do represent a quantum leap in the technology.

CONCLUSION. Three-dimensional echocardiography has now been shown to have several advantages over 2D echocardiography, particularly for volume measurements, visualization of septal defects, and whole-valve evaluation. Given these data, it is clear that 3D echocardiography is here to stay and soon will become part of routine echocardiographic examinations.

Keywords: cardiovascular imaging • congenital malformations • echocardiography • heart


Introduction
Top
Abstract
Introduction
Three-Dimensional...
Perceived and Proven Clinical...
Conclusions
References
 
Echocardiography, or sonography of the heart, is the most used imaging test for diagnostics of the heart. At present, the mainstay of echocardiography is 2D imaging, also known as B-mode imaging. The limitations of 2D echocardiography, especially from the stand-point of left ventricular quantification, are that many of the formulas for calculation of the left ventricular ejection fraction and volume are based on assumptions that do not necessarily hold true in the setting of dilated, failing ventricles that become more spherical as the disease process progresses. In addition, one reason that interobserver variability exists in 2D echocardiography interpretations is that individual observers interpolate the data between 2D images in different ways.

Three-dimensional echocardiography was developed partly to address these limitations. Until recently, however, 3D echocardiography has undergone rather slow and arduous improvements. In the past, image quality was often marginal, and a more important limitation was that acquisition of the images was, at best, cumbersome. Recently, there has been the equivalent of a quantum leap in 3D imaging with the development of a type of real-time 3D imaging called "live 3D" imaging in the most advanced currently available version. Here, we describe the development of real-time 3D imaging and review the previously used versions of 3D echocardiography so that the reader will appreciate why current developments truly do represent a quantum leap in the technology.


Three-Dimensional Echocardiography Techniques
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Abstract
Introduction
Three-Dimensional...
Perceived and Proven Clinical...
Conclusions
References
 
Definitions
As 3D echocardiography looms on the horizon ever so close to routine everyday use in clinical practice, it is important to define the currently marketed techniques and appreciate the evolution of the previous approaches. Throughout the past 30 years, attempts to develop 3D echocardiography have used a transthoracic echocardiography approach with acquisition of a data set consisting of many (i.e., 15-61) adjacent 2D images and then volume rendering the 2D images into a 3D image with the aid of computer interpolation. The requirement for this type of 3D rendering is to be able to align the 2D images together, and this requires some method for the computer to register all of the images and ultimately align them. To accomplish this feat, the transducer has been located or tracked in space or rotated around a fixed axis so that the assortment of 2D images acquired could then be properly aligned to reconstruct a 3D image.

Although tracking and locating are virtually synonymous, for purposes of this discussion, "tracking" the transducer is defined by methods that determine the transducer's location by mechanical means—that is, placing the transducer on some type of mechanical arm so the location is tracked manually by rotating, fanning, or stepping the transducer around a fixed point. Conversely, "locating" the transducer is defined as sending a signal (such as audio or magnetic) from the transducer to a calibrated device that can use the information to determine the transducer's location on a 3D grid.


Figure 1
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Fig. 1 Diagram shows relationship of transesophageal echocardiography probe to heart in example of use of rotational sweep to acquire 2D images for a 3D data set. (Courtesy of Philips Medical Systems [Andover, MA and Bothell, WA] and TomTec Imaging Systems GmbH [Munich, Germany])

 
Almost all of the tracking and locating techniques have been largely abandoned, first, because of complexity and, second, because the image quality was often poor and not acceptable for making diagnostic decisions. The only surviving remnant of this type of approach was developed by Hewlett Packard (spun off as Agilent Technologies and purchased by Philips Medical Systems) and TomTec Imaging Systems GmbH; it uses a transesophageal echocardiography (TEE) probe for acquisition with transducer tracking accomplished by rotation around a fixed axis, with that axis being the center of the rotating transducer on the very tip of the TEE probe (Fig. 1). Although currently only Siemens markets this TEE approach as a solution for 3D, this technology can be adapted to any cardiac ultrasound system but does require partnership with TomTec Imaging Systems GmbH.

All of the techniques referred to so far require reconstruction of many 2D images into a 3D image. Reconstruction involves scan conversion, which means the scanned data must be converted into a 3D cartesian grid followed by volume rendering. Hence, this technique is far from real-time 3D imaging, defined as imaging and volume rendering simultaneously because, first, acquisition of each 2D image requires a separate cardiac cycle and, second, reconstruction takes additional time. All of these older techniques are referred to from this point on as "reconstructive 3D imaging."

The quantum leap that has recently happened in the development of 3D echocardiography is the introduction of real-time 3D imaging using a transthoracic approach. As the term implies, "real-time" 3D imaging takes place on the fly, with reconstruction performed simultaneously with imaging via a PC on the sonography machine. Real-time 3D imaging was first developed at Duke University, and Volumetrics Corporation attempted to market the first version. This version of real-time 3D imaging never made an impact on clinical practice because image quality was limited. Recently, a more advanced version of real-time 3D echocardiography was introduced by Philips Medical Systems and is called "live 3D." Because of improved image quality, this type of 3D imaging is currently making inroads into both the research and clinical arenas (Table 1).


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TABLE 1: Comparison of Techniques for Performing 3D Echocardiography

 

Past Techniques
Here, we review briefly the old reconstructive techniques that used transthoracic echocardiography leading up to the newest form of reconstructive 3D using TEE. Dekker et al. [1] in 1974 are credited with performing 3D echocardiography first. With that technique, the patient was scanned using a transducer that was connected to a mechanical arm that fed quadrant data to a computer mainframe (Fig. 2).


Figure 2
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Fig. 2 Mechanical arm, first described by Dekker et al. [1] in 1974, is shown. Transducer (arrow) is held on mechanical arm. Location of transducer is known because it is attached to mechanical arm.

 
Moritz and Shreve [2] developed an acoustic locater (the so-called "spark gap") whereby an acoustic sound emitter produced 60-kHz sound waves that traveled to each of four overhead microphones. The time taken for sound to travel from each emitter to each microphone was then measured, corrected for environmental conditions, and used to calculate a range between the two points. From these ranges, the x, y, and z cartesian coordinates of the transducer and, subsequently, its image were computed in a spatial coordinate system. In Figure 3, the device that actually was attached to the transducer and emitted sound is shown.


Figure 3
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Fig. 3 Photograph shows device attached to transducer that emitted sound. See Past Techniques section for further discussion.

 
Later, Raab et al. [3] developed a magnetic locator that attached to the transducer and was attached via thin cabling to a central computer that located the transducer in space and subsequently followed its position. This development led to so-called "freehand" scanning whereby the person doing the scanning did not have to move the transducer in any certain way but, rather, any movement of the transducer could be followed by the magnetic locator [4] (Fig. 4). Using this method, a magnetic field was created by a rectangular magnetic box (Fig. 4) that was typically placed underneath the bed the patient was lying on. A sensor attached to the transducer was connected via a microcomputer to the magnet and allowed sensing of the transducer in space.


Figure 4
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Fig. 4 Diagram illustrates freehand technique. Transducer is tracked via a magnetic field created by magnet enclosed within cube. See Past Techniques section for further discussion. (Courtesy of TomTec Imaging Systems GmbH, Munich, Germany)

 
Between the acoustic spark gap technology and freehand methods, the predominant method for 3D acquisition used an automated rotational device. In this rendition of reconstructive 3D imaging, the transducer was held in a cylindric device and rotated in a circular pattern around a fixed axis (Fig. 5). In this case, the transducer position was the same throughout the acquisition, so it did not need to be located, but the axis of rotation could not move. Similar less popular methods compared with the rotational devices were the fan method, for which the transducer was moved in a predetermined fan-shaped direction around a fixed axis, and finally, the linear method, for which the transducer was moved in a straight line on a track using a stepper motor (Figs. 6A and 6B).


Figure 5
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Fig. 5 Rotational device designed to hold a transducer is shown. Transducer, an older mechanical type, is shown protruding from bottom of rotator (arrow). (Courtesy of TomTec Imaging Systems GmbH, Munich, Germany)

 

Figure 6
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Fig. 6A Techniques used for 3D image acquisition protocols. Diagrams show fanning (A) and linear or stepper (B) motor devices used for transthoracic 3D image acquisition protocol. Fanning device follows fan motion, and linear device, by definition, follows linear tracking protocol. (Courtesy of TomTec Imaging Systems GmbH, Munich, Germany)

 

Figure 7
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Fig. 6B Techniques used for 3D image acquisition protocols. Diagrams show fanning (A) and linear or stepper (B) motor devices used for transthoracic 3D image acquisition protocol. Fanning device follows fan motion, and linear device, by definition, follows linear tracking protocol. (Courtesy of TomTec Imaging Systems GmbH, Munich, Germany)

 
In the past few years, attempts were made to bring reconstructive transthoracic 3D imaging to market; it was the freehand methodology that was used predominantly for transthoracic imaging, although the rotational method enjoyed some popularity as well, and these two technologies continued to develop side by side. In fact, a rotational device was developed by Hewlett Packard in which the entire rotation apparatus was contained within the transducer. Hence, an external transducer holder was no longer necessary (Fig. 7). This led naturally to using the same approach with the Hewlett Packard TEE probe (Fig. 1); indeed, in 1995, the first reconstructive 3D images using TEE were obtained, and in the same year, our laboratory, then located at the University of Colorado, also performed 3D TEE, and we began to apply this technology for studying stenotic mitral valves before percutaneous mitral valvuloplasty (Figs. 8A, 8B, 8C, 8D, 8E, 8F, and 8G).


Figure 8
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Fig. 7 Photograph shows transducer designed with rotation capabilities contained within housing. End result is similar to Figure 5, but rather than having a separate device to hold transducer, transducer itself has electronic steering that steers in rotational pattern. Design is also similar to transesophageal echocardiography transducer shown in Figure 1. (Courtesy of Philips Medical Systems, Andover, MA and Bothell, WA)

 

Figure 9
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Fig. 8A Three-dimensional images obtained using rotational transesophageal echocardiography acquisition and subsequent reconstruction. All are designed to show benefits of en face view of entire structure with depth as opposed to 2D image showing only single cut. Three-dimensional image of stenotic mitral valve (arrows, A) from left ventricular side of valve (A) and corresponding 2D cut (B) are shown.

 

Figure 10
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Fig. 8B Three-dimensional images obtained using rotational transesophageal echocardiography acquisition and subsequent reconstruction. All are designed to show benefits of en face view of entire structure with depth as opposed to 2D image showing only single cut. Three-dimensional image of stenotic mitral valve (arrows, A) from left ventricular side of valve (A) and corresponding 2D cut (B) are shown.

 

Figure 11
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Fig. 8C Three-dimensional images obtained using rotational transesophageal echocardiography acquisition and subsequent reconstruction. All are designed to show benefits of en face view of entire structure with depth as opposed to 2D image showing only single cut. Atrial septal defect—ASD in C and arrow in D—is shown on 3D image (C) in its entirety as opposed to corresponding 2D cut (D). In C, AoV refers to aortic valve.

 

Figure 12
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Fig. 8D Three-dimensional images obtained using rotational transesophageal echocardiography acquisition and subsequent reconstruction. All are designed to show benefits of en face view of entire structure with depth as opposed to 2D image showing only single cut. Atrial septal defect—ASD in C and arrow in D—is shown on 3D image (C) in its entirety as opposed to corresponding 2D cut (D). In C, AoV refers to aortic valve.

 

Figure 13
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Fig. 8E Three-dimensional images obtained using rotational transesophageal echocardiography acquisition and subsequent reconstruction. All are designed to show benefits of en face view of entire structure with depth as opposed to 2D image showing only single cut. Three-dimensional image shows aortic valve (arrow) with focal sclerosis of commissure between the non and right coronary cusp.

 

Figure 14
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Fig. 8F Three-dimensional images obtained using rotational transesophageal echocardiography acquisition and subsequent reconstruction. All are designed to show benefits of en face view of entire structure with depth as opposed to 2D image showing only single cut. Two-dimensional image shows flail posterior mitral valve leaflet (arrow).

 

Figure 15
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Fig. 8G Three-dimensional images obtained using rotational transesophageal echocardiography acquisition and subsequent reconstruction. All are designed to show benefits of en face view of entire structure with depth as opposed to 2D image showing only single cut. Three-dimensional image of mitral valve in systole shows middle scallop of posterior leaflet.

 

Newest Techniques: Real-Time and Live 3D Imaging
First rendition of real-time 3D imaging— By the end of the 1990s, research at Duke University led by Von Rahm produced a transthoracic echocardiography probe that could acquire a volume of data rather than the single slice and ultimately could display a real-time 3D image [5-9]. This transthoracic probe had its elements configured in a sparse array pattern (Fig. 9). A transducer is considered fully sampled if the entire transducer crystal is used to transmit and receive the ultrasound beam. It is possible to use less than the entire transducer crystal to perform this function. Hence, such arrays are considered sparsely sampled arrays or sparse arrays and the entire face of the transducer is not connected to individual elements; rather, elements are intermittently dispersed in an organized fashion throughout the face of the transducer. The result is that only 128 elements are used for transmit and receive functions.


Figure 16
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Fig. 9 Diagram illustrates real-time 3D transthoracic echocardiography probe with sparse array design. Note comparison with dense array shown in Figures 11A and 11B. See First-Rendition of Real-Time 3D Imaging section for discussion. (Courtesy of Philips Medical Systems, Andover, MA and Bothell, WA)

 
By distributing these active elements across the 2D face of the transducer, it is possible to steer and focus the scan lines in both the elevation and lateral directions. The use of the sparse array limits the beam-formation process and can lead to significant limitations in image quality. The advantage, however, is that because only 128 active elements are in use, the sparse array can be connected directly to a 128-channel system. A fully sampled array that would use approximately 2,500 elements cannot be directly connected to a 128-channel ultrasound system. Such a transducer requires the development of a microbeam former, as described later in this article. In the end, although the system developed at Duke University and marketed by Volumetrics could produce 3D images, they were of limited quality because of the sparse array limitation. In fact, the system was mostly used to produce 2D images from the 3D data set, thus producing the term and accompanying images called "C scans" (Fig. 10). C scans are orthogonal images to the long axis of the heart. Hence, short-axis cuts of the heart from the apex to the base could be generated from the 3D data set.


Figure 17
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Fig. 10 Standard 2D echocardiography images of left ventricle (right) and corresponding cross-sectional views (left), or C scans. Four-chamber (top) and two-chamber (bottom) views are shown. This figure is from older version of real-time 3D imaging. (Courtesy of D. Adams, Durham, NC)

 

Live 3D imaging—In November of 2002, live 3D imaging, an advanced form of real-time 3D imaging, was introduced by Philips Medical Systems. The major advance that this latest version of real-time 3D imaging immediately offered was improved image quality due to a fully sampled or dense array configuration of the transducer. The face of the transducer is completely sampled (Figs. 11A and 11B). This dense array transducer, called a "matrix array," consists of approximately 3,000 elements.


Figure 18
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Fig. 11A Images show schematic and photograph of dense array real-time 3D transducer. (Courtesy of Philips Medical Systems, Andover, MA and Bothell, WA) Schematic representation of dense array real-time 3D transducer. Each square represents an element. See First-Rendition of Real-Time 3D Imaging section for discussion.

 

Figure 19
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Fig. 11B Images show schematic and photograph of dense array real-time 3D transducer. (Courtesy of Philips Medical Systems, Andover, MA and Bothell, WA) Photograph shows live 3D matrix transducer (Matrix X4) manufactured by Philips Medical Systems.

 
The major challenge during development of the dense array transducer was interfacing all of the elements of the probe to the 128-channel ultrasound system; this required the development of a microbeam former. The microbeam former is located in the head of the transducer and provides electronic control of the transmit and receive functions for the approximately 3,000 elements. The elements are divided into subgroups, and each subgroup is connected to one of the 128 channels of the ultrasound system. Significant technical advances were required for the electronics to be miniaturized into the head of the transducer and allow the interconnection between the elements and the electronics. This miniaturization process was equivalent to placing 150 circuit boards into the head of the transducer.

Live 3D imaging is based on the premise that a 3D image can be created using ultrasound waves by scanning an ultrasound beam through a 3D volume. Such scanning can be done mechanically by physically reorienting the transducer, as described earlier in previous methods. The disadvantage of this approach, as previously emphasized, is that the mechanical apparatus places a tremendous limitation on the speed with which the ultrasound beam can be scanned. An alternative approach is to scan the beam electronically using a phased-array transducer. Traditional beam steering for 2D echocardiography scans (or B-mode scans) is currently performed by a one-dimensional (1D) transducer that is steered by a phased-array scanner (Fig. 12).


Figure 20
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Fig. 12 Diagram depicts transition from one-dimensional (1D) to 3D data set. Note single scan line from single crystal 1D or A-mode scan transitioning to axial and lateral imaging with 2D phased-array scanning and to axial, lateral, and elevation scanning with 3D matrix scanning. See further discussion in Live 3D Imaging section. C scan is essentially an axial cut through 3D data set. (Illustration by Richard Gersony)

 
To scan the beam over the lateral (azimuth) and elevation dimensions that are required for a 3D scan necessitated the development of a 2D phased-array transducer [10]. With electronic steering of such a 2D phased-array transducer, the scanning could be done in any pattern. A typical pattern, and the one used to obtain live 3D images currently, is scanning a series of 2D slices that are displaced over a series of elevation angles. An advantage of this pattern is that spatially adjacent areas are temporally adjacent. When this complete pattern has been scanned, the result is a pyramidal shape, called a "frustum" (Fig. 12). It is not a true pyramid because its base is curved.

From this point, a number of alternatives about how to use and display this volume of data exist. One alternative is to extract from the frustum an arbitrary 2D slice. Such a slice is called a "multiplanar reformatted slice" or "multiplanar reconstruction slice" (Fig. 13, images labeled 1a and 1b). Another alternative is to volume render the data. This is accomplished by projecting through the data from a selected point of view (Fig. 13, 2a and 2b).


Figure 21
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Fig. 13 Progression from 2D imaging to 3D narrow-angle (NA) to 3D full-volume (FV) imaging is shown with respective representative images. In 2D imaging, only single slice of data is acquired with result being 2D image with no depth. In 3D narrow-angle imaging, entire heart volume is not obtained; rather, 3D slice of varying width, depending on resolution, is obtained and simultaneous volume rendering adds depth not seen with 2D slice. Finally, for 3D full-volume imaging, example shows that although entire volume of heart is captured, exact same volume-rendered slice shown in 3D narrow-angle imaging can be extracted from larger volume data set resulting in identical image. (Illustration by Richard Gersony)

 

To further explain how the live 3D echocardiography transducer works, it is important to step back and realize that a 1D non-phased-array ultrasound transducer can create a single scan line, called an A-mode line, that is essentially a point in space (Fig. 12). A 1D phased-array transducer creates a scan line that can be steered in the lateral direction. This produces a 2D image called a B-mode image (Fig. 12). An important concept is that the B-mode image has an axial (depth) dimension and a lateral (azimuthal) dimension. Due to the physics of the how the scan line is formed, the axial dimension typically has much better resolution than the lateral dimension. A 2D phased-array probe can steer a scan line in both the elevation and lateral dimensions. This allows a 3D set of data to be formed (Fig. 12).

Full-volume versus narrow-angle acquisition—Current live 3D imaging routinely performs imaging in a narrow angle, a 3D volume sector that cannot span the entire heart; cardiac gating is used only in the sense that frames are captured throughout the cardiac cycle, the same as with 2D imaging. A full-volume acquisition requires cardiac gating to acquire four cardiac cycles and then reconstruct them into an entire cardiac volume. Gating is an important part of this acquisition for aligning similar frames for each of the four cycles. The four cardiac cycles are then volume rendered with some interpolation required between each cycle. This approach is, of course, subject to the limitations of patient and transducer movement, but because only four cycles are acquired, it is less of a limitation (Figs. 14A, 14B, and 14C).


Figure 22
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Fig. 14A Diagrams show concept of full-volume versus narrow-angle imaging compared with 2D imaging. Note lack of elevation steering for 2D imaging and that larger volume data set is acquired for full-volume imaging. (Illustration by Richard Gersony)

 

Figure 23
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Fig. 14B Diagrams show concept of full-volume versus narrow-angle imaging compared with 2D imaging. Concept of acquisition of full volume is shown. Full volume is acquired from total of four cardiac cycles. Each individual cardiac cycle contributes one fourth of thickness of entire data set as illustrated with individual colors. Cardiac gating is required to meld four cardiac cycles into one. (Illustration by Richard Gersony)

 

Figure 24
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Fig. 14C Diagrams show concept of full-volume versus narrow-angle imaging compared with 2D imaging. When more than one cardiac cycle is used, it becomes important to match individual frames within a cardiac cycle. As illustrated, when one cardiac cycle is acquired, each cardiac cycle is divided into multiple frames; total of 11 frames are shown in this example. Number of frames used for each acquisition depends on heart rate (R-R interval) as well as frame rate of acquisition machine. It is desirable (but not always possible) to have same R-R interval for each cardiac cycle so that each frame can be matched. (Courtesy of TomTec Imaging Systems GmbH, Munich, Germany)

 

Each cardiac cycle provides one fourth of the volume data set, as shown in Figures 14A, 14B, and 14C. The width of the data set acquired can be increased with the trade-off being reduced resolution for both narrow-angle and full-volume sets [11]. Finally, a Zoom mode in the narrow-angle mode allows focusing in on a particular structure with high resolution with the trade-off being a narrower data set (Fig. 15). These adjustments also affect the pixel size of the image. A standard display has approximately 500 x 500 pixels. Hence, at an average depth of 12 cm, this makes the pixel size 0.25 x 0.25 mm. Likewise, decreasing the average depth to 6 cm would decrease the pixel size to 0.125 x 0.125 mm. Magnification of the image using the Zoom function will increase the effective pixel size by a factor dependent on the percent size of the zoomed image compared with the total image size. For example, if the area of the image selected to zoom is one fourth the size of the total image, the resultant pixel size will increase by roughly a factor of 4 and hence would be in the range of 1 mm in diameter.


Figure 25
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Fig. 15 Narrow-angle versus full-volume imaging is shown as well as different levels of resolution possible (high, medium, low). In this particular algorithm for 3D imaging, choice was made to keep number of scan lines; hence, volume rate is constant and results in change in resolution from narrow angle to full volume. See Full-Volume Versus Narrow-Angle Acquisition section for further discussion regarding resolution and zoom. (Illustration by Richard Gersony)

 

As previously described, multiplanar reconstruction slices can be taken from the 3D data set at any orientation. With electronic 3D steering, essentially any plane is possible. Examples are shown in Figure 16: Drawings A and C show lateral (azimuthal) and drawings B and D show elevation steering, but any combination of angles is possible depending on the desired structure for imaging. Note the accompaniment of the corresponding 2D multiplanar reconstruction slice and 3D rendering in opposite directions originating from the multiplanar reconstruction slice.


Figure 26
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Fig. 16 Versatility of 3D data set is shown with three consecutive cropping planes (lateral, elevation, and azimuthal [axial]), each perpendicular to other, used to create 3D images that are perpendicular to one another. Three-dimensional rendering can be performed in any direction perpendicular to reference plane. Note that final image (drawing E) represents equivalent of C scan with cutting plane being perpendicular to axial plane or depth of ultrasound beam. (Illustration by Richard Gersony)

 
One common orientation is the C slice (Fig. 16, drawing E shown with 2D and 3D versions, one 3D rendering looking toward the mitral valve and the other looking toward the apex of the left ventricle). This slice is orthogonal to the axial direction, and from a cardiac imaging perspective, this slice is orthogonal to the long axis of the heart. The result is a cross-sectional or short-axis view of the heart. The two dimensions of the C slice image are lateral (azimuthal) and elevation. Lateral spatial resolution and elevation spatial resolution are approximately the same, and both are inferior to axial resolution. Typical resolution at a 10-cm depth is approximately 0.6 mm for axial and 1.5 mm for lateral and elevation. C slice images therefore have poor spatial resolution in both dimensions. From a practical standpoint then, the 3D beam former is steered through multiple axial planes of the left ventricle, the resolution of the mitral valve moving from slice to slice is superior to the resolution of the left ventricular endocardium (in the periphery of the scan), and the scan is generated from the elevation and lateral planes. In fact, this has been the challenge for wall motion analysis and calculations of left ventricular volume for 3D echocardiography.

Volume rendering of 3D data is a computationally intensive task. In the past, this computation required many seconds. Reconstructive 3D rendering required interpolation between the 2D slices. Live 3D imaging also requires interpolation because it is also formed from a set of 2D slices. All 3D approaches require that the scan lines be interpolated into a 3D cartesian data set before volume rendering. Interpolation and volume rendering both require intense computer processing; fortunately, advances in PC power have now made it possible to perform volume rendering in as little as 50 milliseconds. This is one of the many factors that has facilitated 3D imaging in becoming real-time imaging. However, real-time rendering must be accompanied by real-time scanning, and this is a challenge given the speed of the ultrasound beam and the width and depth of tissue penetration required to create the 3D volume.

Although electronic scanning allows the ultrasound beam to be steered rapidly, there still must be sufficient time for the ultrasound beam to be transmitted, propagate through the body, be reflected back to the transducer, be received, and then be interpreted and displayed as an image. Once again, this task is a daunting one because sound propagates in the body at approximately 1,500 m/s, and this limits how rapidly the ultrasound beam can be transmitted and received. For a typical 16-cm scanning depth, an ultrasound beam can be transmitted and received in only 220 µsec. For a 2D image that has 90 ultrasound lines, this would require 19.8 msec. The frame rate for such an image would be 50 Hz. This is adequate for most clinical scanning, particularly scanning of adults with heart rates typically in the range of 60-100 beats per minute. By comparison, a 3D image that is 60° x 60° would require up to 3,600 scan lines. For the same depth, this would require 800 milliseconds. The accompanying frame rate of 1.25 Hz would be unacceptable for clinical use. Hence, numerous solutions exist for increasing the frame rate for 3D scanning. The limitations of the solutions are degradation of image quality, smaller field of view, or triggered (based on the R wave of the ECG) acquisition of more than one cardiac cycle.

As is true for most sonography solutions, the success or failure of a product is contingent on choosing the most optimal compromises after considering the resultant trade-offs. The possible solutions for improving frame rate while still scanning in real-time 3D are as follows: first, receive multiple beams for each transmit event (an approach called "parallel processing"); second, increase the line spacing of each transmit event; third, decrease the image size either laterally or in elevation (the depth required cannot be changed any less than roughly 12 cm); and, fourth, acquire data over multiple cardiac cycles and build a composite volume. Current live 3D imaging uses a combination of these approaches. Parallel processing is definitely used; the details about the number of scan lines involved in the parallel processing remain proprietary. The image size can be adjusted, with a smaller size resulting in improved frame rate and spatial resolution. The concept of the full-volume acquisition using four cardiac cycles has been discussed.


Perceived and Proven Clinical Benefits of 3D Echocardiography Compared with 2D Echocardiography
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Analysis of Cardiac Volumes and Mass
Three-dimensional echocardiography has been shown to allow more accurate assessment of ventricular volume and ejection fraction than its 2D echocardiography counterpart. This has been shown in multiple studies with comparisons to left ventricular angiography and MRI [5-34]. These data are largely from the older method of reconstructive 3D echocardiography. Now several studies show favorable agreement with older real-time 3D echocardiography (i.e., Volumetrics type) to standard noninvasive methods [35-44]. In addition, there are now three studies comparing MRI with live 3D echocardiography that show very good correlation and agreement [45, 46]. Correlation and agreement shown from the study by Mor-Avi et al. [47] are typical for live 3D echocardiography (Figs. 17A and 17B).


Figure 27
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Fig. 17A Graphs show correlation and degree of agreement between 2D echocardiography and 3D echocardiography compared with currently perceived gold standard of cardiac MRI. Note considerable improvement in both correlation and agreement to MRI provided by live 3D imaging compared with 2D imaging. (Reprinted with permission from Circulation [47]). Graphs show correlation and degree of agreement between 2D echocardiography and live 3D echocardiography (A) and between each echocardiography technique and cardiac MRI (B) for determining left ventricular (LV) mass.

 

Figure 28
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Fig. 17B Graphs show correlation and degree of agreement between 2D echocardiography and 3D echocardiography compared with currently perceived gold standard of cardiac MRI. Note considerable improvement in both correlation and agreement to MRI provided by live 3D imaging compared with 2D imaging. (Reprinted with permission from Circulation [47]). Graphs show correlation and degree of agreement between 2D echocardiography and live 3D echocardiography (A) and between each echocardiography technique and cardiac MRI (B) for determining left ventricular (LV) mass.

 

Congenital Heart Disease
The other major area in which 3D echocardiography has enjoyed particular success is in the assessment of anatomic relationships in congenital heart disease [48-64]. There is considerable evidence of the superiority of 3D echocardiography over 2D echocardiography for evaluation of congenital heart disease, although these data were, of course, obtained using older techniques. The application of 3D echocardiography to this specific subset of patients is intuitive. Details of defects are more readily recognized, and 3D echocardiography provides additional information that may be clinically useful when compared with 2D echocardiography. For example, Salustri et al. [49] undertook an evaluation of a variety of congenital defects comparing 3D echocardiography with 2D echocardiography and found that 3D echocardiography provided additional clinical information in 36% of patients. The clinical advantage to such additive information is still unclear.

Whereas 2D echocardiography is useful for identifying membranes in patients with atrial septal defects or ventricular septal defects, 3D echocardiography can measure diameters of the defects or of closure devices after placement using en face views from both the left and right sides (Figs. 18A and 18B). Defect sites, fenestrations, membranes, and particularly relationships to surrounding structures and tissues are theoretic advantages of 3D echocardiography, all of which may influence management options, particularly in the era of minimal-access surgery and percutaneous catheter closure.


Figure 29
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Fig. 18A Live 3D imaging examples of how 3D imaging is better than 2D imaging for evaluating structures such as septal defects. Atrial septal defect (ASD) occluder device (Amplatz Occluder Device, AGA Medical Corporation) is shown on 3D imaging. Note ability to see device en face in B after tilting image shown in A. In B, AoV indicates aortic valve.

 

Figure 30
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Fig. 18B Live 3D imaging examples of how 3D imaging is better than 2D imaging for evaluating structures such as septal defects. Atrial septal defect (ASD) occluder device (Amplatz Occluder Device, AGA Medical Corporation) is shown on 3D imaging. Note ability to see device en face in B after tilting image shown in A. In B, AoV indicates aortic valve.

 
Until recently, there were no data about the use of live 3D echocardiography in patients with congenital disease, only extensive experience [64, 65]. However, Chan et al. [66] have shown that live 3D echocardiography results in additional information compared with 2D echocardiography in a significant number of cases. In this assessment of live 3D imaging for evaluation of structural heart disease, the authors imaged 106 consecutive patients referred for echocardiography and graded the 3D studies as A, new finding identified; B, useful anatomic perspective identified; C, equivalent to 2D studies; or D, missed findings seen on 2D echocardiography. Live 3D echocardiography was graded A in 7% and B in 18%. The majority of the A and B cases were congenital or mitral valve disease. Live 3D echocardiography has recently been used to identify the precise location of a subaortic membrane [67]. In a surgical correlation study, live 3D echocardiography revealed the size and location of both atrial and ventricular septal defects [68].

Valvular Heart Disease
Echocardiography has traditionally been the undisputed test of choice for the evaluation of valvular heart disease, particularly those involving masses and structural abnormalities. Three-dimensional echocardiography in general and live 3D echocardiography in particular have added the ability to view the entire valve in one image with the bonus of depth as opposed to requiring multiple 2D slices and views to show the entire valve. The 3D echocardiography volume-rendered view of the orifice of the mitral valve has led to several studies showing that live 3D echocardiography is the best noninvasive method for determination of mitral valve area, and this technique compares favorably with catheterization methods of stenosis quantification [69] (Figs. 19A, 19B, 19C, and 19D). In addition, live 3D echocardiography has superior ability for evaluating the perivalvular area, mitral valve commissures, and mitral valve subvalvular apparatus in the setting of mitral valve stenosis [70]. For mitral regurgitation, 3D echocardiography has been used to determine accurately which division or "scallop" of the mitral valve leaflets is involved in mitral valve prolapse, hence aiding in the surgical planning for mitral valve repair [71].


Figure 31
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Fig. 19A Live 3D transthoracic view of mitral valve repair. Images show annuloplasty ring from parasternal long view (A) and apical view (B). Arrows point to left atrium (LA, A).

 

Figure 32
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Fig. 19B Live 3D transthoracic view of mitral valve repair. Images show annuloplasty ring from parasternal long view (A) and apical view (B). Arrows point to left atrium (LA, A).

 

Figure 33
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Fig. 19C Live 3D transthoracic view of mitral valve repair. Images show mitral valve and annuloplasty ring with view from left atrial side of valve during systole (C) and diastole (D). These images were obtained via reconstructive transesophageal echocardiography technology. Arrows depict central orifice (thick arrow) and incoming pulmonary veins (thin arrow) on periphery.

 

Figure 34
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Fig. 19D Live 3D transthoracic view of mitral valve repair. Images show mitral valve and annuloplasty ring with view from left atrial side of valve during systole (C) and diastole (D). These images were obtained via reconstructive transesophageal echocardiography technology. Arrows depict central orifice (thick arrow) and incoming pulmonary veins (thin arrow) on periphery.

 


Conclusions
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Abstract
Introduction
Three-Dimensional...
Perceived and Proven Clinical...
Conclusions
References
 
Three-dimensional echocardiography has now been shown to have several advantages over 2D echocardiography, particularly for volume measurements, visualization of septal defects, and whole-valve evaluation. Given these data, it is clear that 3D echocardiography is here to stay and soon will become part of routine echocardiographic examinations. This is particularly true because, at the time of this writing, a second vendor, GE Healthcare, has developed a form of real-time 3D echocardiography. If a third major vendor, Siemens Medical Solutions, follows suit as expected, then real-time 3D echocardiography will be available on most cardiac ultrasound systems. Given this development, we conclude that 3D echocardiography will largely displace 2D echocardiography because history tells us that a similar transition happened as we moved from M-mode echocardiography to 2D echocardiography.


Acknowledgments
 
We recognize Dave Prater and Gina Kelly of Philips Medical Systems for aiding with the explanation of the mechanisms for live 3D imaging. We recognize Richard Gersony forthe development of illustrations that demonstrate these mechanisms. We also acknowledge the sonographers at Harborview Medical Center for their aid in acquisition of the images used in this article.


References
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References
 

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