AJR ARRS Member Benefits
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Honda, O.
Right arrow Articles by Kudo, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Honda, O.
Right arrow Articles by Kudo, M.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
AJR 2001; 177:875-879
© American Roentgen Ray Society


High-Resolution CT Using Multidetector CT Equipment

Evaluation of Image Quality in 11 Cadaveric Lungs and a Phantom

Osamu Honda1, Takeshi Johkoh1, Noriyuki Tomiyama1, Takenori Kozuka1, Naoki Mihara1, Mitsuhiro Koyama1, Seiki Hamada1, Hiroaki Naito1, Hironobu Nakamura1 and Masayuki Kudo2

1 Department of Radiology, Osaka University Medical School, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
2 General Electric Yokogawa Medical Systems, 4-7-127 Asahigaoka, Hino, Tokyo, 191-0065, Japan.

Received December 28, 2000; accepted after revision March 22, 2001.

 
Address correspondence to O. Honda.


Abstract
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
OBJECTIVE. The aim of this study was to evaluate the image quality and diagnostic efficacy of multidetector high-resolution CT (HRCT) by comparing it with single-detector HRCT and by comparing the noise and artifact of multidetector HRCT images with a phantom.

SUBJECTS AND METHODS. Multidetector HRCT with six parameters and single-detector HRCT were performed on cadaveric lungs. The image quality and diagnostic efficacy of multidetector HRCT were evaluated in comparison with those of single-detector HRCT. A phantom was scanned, and image artifact and noise were investigated.

RESULTS. The image quality of multidetector HRCT with axial 1.25 mm x 4i (four images per gantry rotation) mode was equal to that of single-detector HRCT. The image quality of multidetector HRCT with other modes was worse than that on single-detector HRCT. The diagnostic efficacy of multidetector HRCT with high-quality mode (pitch, 3:1) and axial mode was equal to that of single-detector HRCT. The diagnostic efficacy on multidetector HRCT with high-speed mode (pitch, 6:1) was worse than that on single-detector HRCT. In the phantom study, images made in high-speed mode had strong artifacts. Noise in the axial mode was milder than that in high-speed mode but more severe than that in high-quality mode.

CONCLUSION. The image quality of axial HRCT with multidetector CT is equal to that on single-detector HRCT. Axial HRCT with multidetector CT is appropriate for evaluating subtle lung abnormalities, but high-speed mode is unsuitable. Using the high-quality mode degrades image quality but is still worthwhile.


Introduction
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
High-resolution CT (HRCT) is performed with a narrow slice collimation, a high-spatial-frequency reconstruction algorithm, and a small field of view. HRCT can depict the fine structures of pulmonary parenchyma in detail by reducing partial volume averaging and increasing spatial resolution. Therefore, HRCT is useful to evaluate various diffuse infiltrative lung diseases [1,2,3].

Originally, single-detector CT was used to obtain HRCT images. Recently, multidetector CT has been developed and brought into daily clinical practice. Multidetector CT is a promising tool for the evaluation of lung parenchyma because the fundamental advantages of this technique include shorter acquisition times and retrospective creation of both thinner and thicker sections from the same raw data [4]. Acquisition time of HRCT with multidetector CT is so short that whole-lung HRCT can be performed in one breath-hold. To our knowledge, however, the suitability of the image quality of multidetector HRCT for evaluating various pulmonary diseases has not been investigated. The aim of the our study was to compare the images of single-detector HRCT with those of multidetector HRCT that were scanned by various parameters and to evaluate the image quality and diagnostic efficacy of multidetector HRCT. In addition, the influence of noise artifact was investigated by a phantom.


Subjects and Methods
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
Eleven cadaveric lungs were inflated and fixed [5]. These lungs were distended through the main bronchus with fixative fluid that contained polyethylene glycol 400, 95% ethyl alcohol, 40% formalin, and water in proportions of 10:5:2:3. The specimens were immersed in fixative for 2 days. The fixed lungs were then air-dried. These lungs were scanned by multidetector CT (LightSpeed QX/i; General Electric Medical Systems, Milwaukee, WI) with the following six parameters: axial 1.25 mm x 4i (four images per gantry rotation) mode, axial 2.5 mm x 2i (two images per gantry rotation) mode, helical 1.25-mm high-quality mode (pitch, 3:1), helical 2.5-mm high-quality mode (pitch, 3:1), helical 1.25-mm high-speed mode (pitch, 6:1), and helical 2.5-mm high-speed mode (pitch, 6:1). All previously mentioned HRCT images were obtained with a 20-cm field of view, 120 kVp and 200 mA per rotation, 0.8 sec-gantry rotation, and a high-spatial-frequency algorithm. Multidetector HRCT of 1.25 mm x 4i mode, helical CT of 1.25-mm high-quality mode, or helical CT of 1.25-mm high-speed mode was reconstructed with a 1.25-mm interval, and multidetector HRCT of 2.5 mm x 2i mode, helical CT of 2.5-mm high-quality mode, or helical CT of 2.5-mm high-speed mode was reconstructed with 2.5-mm intervals. Single-detector HRCT (HiSpeed Advantage, General Electric Medical Systems) was also performed in the axial mode from each object with 1-mm collimation, 1-mm interval, 20-cm field of view, 120 kVp, 200 mA per rotation, and a high-spatial-frequency algorithm.

Eleven cadaveric lungs had various CT findings, including areas with ground-glass attenuation (n = 7), areas of air-space consolidation (n = 1), emphysema (n = 1), faint centrilobular nodules (n = 3), small non-lobular nodules (n = 1), large nodules (n = 1), inter-lobular septal thickening (n = 2), intralobular reticular opacities (n = 2), and honeycombing (n = 2). After CT, transverse microscopic sections were performed from these 11 lungs and stained with H and E and elastica-van Gieson for histopathologic diagnosis. Pathologic diagnoses of these 11 lungs included the the usual interstitial pneumonia (n = 2), nonspecific interstitial pneumonia (n = 1), diffuse alveolar damage (n = 1), diffuse panbronchiolitis (n = 1), pulmonary tuberculosis (n = 1), pulmonary emphysema (n = 1), pulmonary hemorrhage (n = 1), cardiogenic edema (n = 1), pulmonary metastases (n = 1), and pulmonary lymphangitic carcinomatosis (n = 1).

Two reviewers independently compared each HRCT image on multidetector CT with matching HRCT images on single-detector CT, placing them side by side without the knowledge of the histopathologic diagnoses and image-acquisition parameters of multidetector CT. They independently graded the diagnostic efficacy of HRCT on multidetector CT as sufficient for diagnosis (level 1) or insufficient (level 2) and the image quality of HRCT on multidetector CT as equal to (level 1) or inferior to (level 2) that of HRCT on single-detector CT. The interobserver variation between the two reviewers was analyzed by using kappa statistics.

In addition, a phantom for high-contrast spatial resolution, including acrylic spheres with 2- to 10- mm diameters (Helical Phantom type HT-200; Kyoto Kagaku, Kyoto, Japan), was scanned with the same parameters as those of the examinations of cadaveric lungs. In the examination, noise and artifact were evaluated. Noise values were calculated by measuring the standard deviation (SD) values in a circular region of interest (844 mm2) defined by an electric cursor on the scanner workstation [6]. The regions of interest were placed in eight homogeneous parts of the phantom and remained in the same locations of the phantom for each scan parameter. The obtained data were statistically analyzed with an unpaired t test. The existence of artifacts on HRCT images with each parameter was visually decided by the consensus of two reviewers.


Results
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
The interobserver variability between two reviewers showed substantial agreement for the image qualities ({kappa} = 0.71) and fair agreement for diagnostic ability ({kappa} = 0.38). Therefore, the analysis was performed by combining the decisions of the two reviewers.

The result of image quality is summarized in Figure 1. The image quality of multidetector HRCT by using axial 1.25 mm x 4i mode was equal to that of single-detector HRCT in all cases (100%) (Fig. 1). The image quality of multidetector HRCT with other modes was inferior to that of single-detector HRCT, particularly the helical high-speed mode at 2.5 mm. The results of diagnostic efficacy are summarized in Figure 2. The diagnostic efficacy of multidetector HRCT compared with any helical 1.25-mm high-quality mode, helical 2.5-mm high-quality mode, axial 1.25 mm x 4i mode, and axial 2.5 mm x 2i mode was equal to that of single-detector HRCT (100%) (Fig. 2). In one case (5%) with helical 1.25-mm high-speed mode and four cases (18%) with helical 2.5-mm high-speed mode, the diagnostic efficacy of multidetector HRCT was slightly worse than that of single-detector HRCT. On multidetector HRCT with helical 1.25-mm high-speed mode, intralobular reticular opacities were blurred in one case. The blurring of intralobular reticular opacities in two cases, obscurity of interlobular septal lines in one case, and vagueness of faint centrilobular nodules in one case were reasons that multidetector HRCT with helical 2.5-mm high-speed mode was determined as insufficient for diagnosis (Fig. 3A,3B,3C,3D,3E,3F,3G).



View larger version (34K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 1. Bar graph shows image quality of multidetector high-resolution CT (HRCT). Image quality of axial 1.25 mm x 4i (four images per gantry rotation) mode on multidetector HRCT was equal to that of single-detector HRCT in all cases (100%), although image quality of other modes on multidetector HRCT was worse than that on singledetector HRCT. Total number of readings was 22. Area with striped lines, level 1= single-detector HRCT; gray area, level 2 = inferior to single-detector HRCT.

 


View larger version (34K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 2. Bar graph shows diagnostic efficacy of multidetector high-resolution CT (HRCT). In one case (5%) with helical 1.25-mm high-speed mode and four cases (18%) with helical 2.5-mm high-speed mode, diagnostic efficacy of multidetector HRCT was slightly worse than that on single-detector HRCT. Total number of readings was 22. Area of striped lines, level 1 = sufficient for diagnosis; gray area, level 2 = insufficient for diagnosis.

 


View larger version (97K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3A. Cadaver of 67-year-old man with tuberculosis. Lung was inflated and fixed. Single-detector high-resolution CT scan with 1-mm collimation reveals faint centrilobular nodule (arrow).

 


View larger version (98K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3B. Cadaver of 67-year-old man with tuberculosis. Lung was inflated and fixed. Multidetector CT scan with axial 1.25 mm x 4i (four images per gantry rotation) mode reveals faint centrilobular nodule (arrow). Compared with A, image quality is not degraded.

 


View larger version (101K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3C. Cadaver of 67-year-old man with tuberculosis. Lung was inflated and fixed. Multidetector CT scan with helical 1.25-mm high-quality mode (pitch, 3:1) reveals faint centrilobular nodule (arrow). Compared with A, image quality is not degraded.

 


View larger version (104K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3D. Cadaver of 67-year-old man with tuberculosis. Lung was inflated and fixed. Multidetector CT scan with helical 1.25-mm high-speed mode (pitch, 6:1) shows faint nodule (arrow). Nodule is more indistinct than nodule on axial 1.25 mm x 4i mode (B) and helical 1.25-mm high-quality mode (C).

 


View larger version (97K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3E. Cadaver of 67-year-old man with tuberculosis. Lung was inflated and fixed. Multidetector CT scan with axial 2.5 mm x 2i (two images per gantry rotation) mode shows faint nodule (arrow). Nodule is more indistinct than nodule on multidetector CT with axial 1.25 mm x 4i mode (B).

 


View larger version (95K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3F. Cadaver of 67-year-old man with tuberculosis. Lung was inflated and fixed. Multidetector CT scan with helical 2.5-mm high-quality mode shows faint nodule (arrow). Image quality of multidetector CT is more indistinct than that of axial 2.5 mm x 2i mode (E), but is still worthwhile.

 


View larger version (100K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3G. Cadaver of 67-year-old man with tuberculosis. Lung was inflated and fixed. Multidetector CT scan with helical 2.5-mm high-speed mode shows faint centrilobular nodules (arrowhead). One of two observers determined this case as insufficient for diagnosis.

 

The SD values of eight regions of interest on multidetector HRCT of a phantom are described in Figure 4. There was no significant difference between the SD values of multidetector HRCT with the axial 1.25 mm x 4i mode and those of helical CT with the 1.25-mm high-quality mode. However, there were significant differences between the SD values of the axial mode and those of helical high-quality mode (p < 0.01) at 2.5-mm collimation, between the axial mode and helical high-speed mode (p < 0.05) at 1.25-mm and 2.5-mm collimation, and between the helical high-quality mode and helical high-speed mode (p < 0.01) at 1.25-mm and 2.5-mm collimation. There were also significant differences between the SD values of 1.25-mm collimation and those of 2.5-mm collimation in each scan mode on multidetector CT (p < 0.001). The prominent artifacts were radiated from spheres on multidetector HRCT with helical 1.25-mm high-speed mode and helical 2.5-mm high-speed mode (Fig. 5A,5B,5C,5D). These artifacts were more conspicuous on multidetector HRCT with high-speed mode than on high-quality mode (Fig. 5A,5B,5C,5D).



View larger version (13K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 4. Graph shows standard deviation (SD) values of eight regions of interest on multidetector high-resolution CT of phantom. Highest SD values and lowest SD values are indicated with lines, and mean SD values are indicated with points. There is no significant difference between SD values of axial 1.25 mm x 4i (four images per gantry rotation) mode and those of helical 1.25-mm high-quality mode on multidetector CT. However, there were significant differences between SD values of axial mode and those of helical high-quality mode (p<0.01), between those of axial mode and helical high-speed mode (p<0.05), and between those of helical high-quality mode and helical high-speed mode (p<0.01) of same slice collimation. Noise of axial mode was larger than that of helical high-quality mode, but smaller than that of helical high-speed mode on same slice thickness. {blacksquare} = mean value.

 


View larger version (130K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 5A. Multidetector high-resolution CT images of phantom, including acrylic spheres. Three numbered circles are regions of interest. Scan with axial 1.25 mm x 4i (four images per gantry rotation) mode shows no streak artifact.

 


View larger version (134K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 5B. Multidetector high-resolution CT images of phantom, including acrylic spheres. Three numbered circles are regions of interest. Scan with helical 1.25-mm high-quality mode (pitch, 3:1) shows no streak artifact.

 


View larger version (131K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 5C. Multidetector high-resolution CT images of phantom, including acrylic spheres. Three numbered circles are regions of interest. Scan with helical 1.25-mm high-speed mode (pitch, 6:1) shows streak artifacts that are radiated from spheres (arrows).

 


View larger version (125K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 5D. Multidetector high-resolution CT images of phantom, including acrylic spheres. Three numbered circles are regions of interest. Scan with helical 2.5-mm high-speed mode shows prominent streak artifacts that are radiated from spheres (arrows).

 


Discussion
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
In general, HRCT is a useful noninvasive tool in evaluating the pulmonary parenchyma in detail. The high-spatial-frequency algorithm, narrow collimation, and small field of view are essential for reconstructing HRCT images. Mayo et al. [7] described HRCT as an improvement in linear-pair resolution on thincollimation scans of a phantom by using the bone algorithm. Using a line-pair phantom, Zwirewich et al. [8] have documented that CT images reconstructed with the high-spatial-frequency algorithm indicate a 28% improvement in spatial resolution. Narrow-collimation scans reduce volume averaging in the plane of section and thereby increase spatial resolution [9]. However, in general, fine streaks that radiate from the edges of high-contrast structures are commonly seen on HRCT images [9]. These streaks interfere with the accurate evaluation of pulmonary parenchyma.

Multidetector CT is equipped with a multiplerow detector array. The physical performance of a dual-slice CT scanner, introduced previously, has been investigated by Liang and Kruger [10]. For a given table speed and individual detector collimation, the dual-slice scan results in better longitudinal resolution compared with a single-slice scan if the scan is obtained with nonoverlapping slices (pitch > 2). This improvement is because the dual-slice scan obtains twice the number of nonoverlapped projections for the same length. This increase reduces the degradation of the slice profile because of more densely arranged projections (in the longitudinal direction) for the interpolation. In the dual-slice scanner, the workable scan rate is extended up to a pitch of 4, which compares with a pitch of 2 for the single-slice scanner. In our study, multidetector CT is equipped with 16 detector arrays in the longitudinal direction, and four-slice CT images can be obtained per rotation of the X-ray-beam collimation. Therefore, multidetector CT has the capability of rapidly scanning a large longitudinal (z-axis) volume with high z-axis resolution [4]. McCollough and Zink [11] reported that the multislice helical CT reconstruction algorithm produced images with section-sensitivity profiles comparable to a pitch of 1.0-1.5 for single-slice systems at three to six times the table speed.

In our study, the images of multidetector HRCT with helical high-speed mode (pitch, 6:1) showed blurring of intralobular reticular opacities, obscurity of interlobular septal lines, or vagueness of faint centrilobular nodules, which could lead to misdiagnosis. Increased table speed may increase the volume-averaging artifact and may result in indistinctness of subtle pulmonary abnormalities. Although the images on multidetector helical CT have higher z-axis resolution than those on single-detector helical HRCT, the full width at half-maximum of multidetector helical CT with high-speed mode with a pitch of 6:1 is equal to that of single helical CT with a pitch of 2:1 [4]. Increasing helical pitch leads to a decrease in the amount of photons, which makes the images unclear. McCollough and Zink [11] tested in the axial mode, helical high-quality mode, and helical high-speed mode with a multislice CT scanner and reported that helical artifacts and geometric distortion were more pronounced in some high-speed helical modes. Therefore, in evaluating the subtle parenchymal abnormalities such as faint nodules or thin linear opacities, axial HRCT or multidetector HRCT with helical high-quality mode (pitch, 3:1) should be more useful than helical high-speed mode (pitch, 6:1). However, dense centrilobular nodules, nodules, bronchiectasis, traction bronchiectasis, ground-glass attenuation, consolidation, emphysema, and honeycombing can be depicted even on multidetector HRCT with helical high-speed mode. Multidetector HRCT with helical high-speed mode can be used for evaluating these findings because multidetector HRCT with helical high-speed mode sufficiently illustrate abnormalities such as dense centrilobular nodules, nodules, bronchiectasis, traction bronchiectasis, ground-glass attenuation, consolidation, emphysema, and honeycombing.

Noise is also one of the important factors for image quality [7,9]. In our phantom study, the artifact was more conspicuous on helical 2.5-mm high-speed mode than on the helical 1.25-mm high-speed mode, but noise was milder on helical 2.5-mm high-speed mode than on helical 1.25-mm high-speed mode. In addition, noise of the axial 4i mode was greater than that of the helical high-quality mode with the multidetector HRCT images on 2.5-mm collimation in our phantom study, although the image quality of axial 4i mode was superior to that of helical high-quality mode in our study with cadaveric lungs. Therefore, the poor quality of the helical mode, especially of the helical high-speed mode, is mainly due to artifact.

There are several limitations in our study. First, this study included a small number of cases. Second, because we used lung specimens, there was no evaluation of the influence of motion artifact on image quality. Severe motion artifacts blur the detail of pulmonary parenchyma, and subtle motion artifacts can cause false images of pulmonary parenchyma. Principally, motion artifacts are caused by respiratory and cardiac motion. It is reported that the double fissure occurs most commonly at the base of the left lung, suggesting that cardiac motion is the cause [12]. Tarver et al. [13] also reported that a double image of the pulmonary vessels, which is caused by respiratory and cardiac motion, is similar to bronchiectasis. Therefore, it is necessary to investigate how motion artifacts of multidetector HRCT influence the image quality. If motion artifacts were investigated, image quality of multidetector HRCT might be better than that of single-detector HRCT. Third, multidetector CT scanners from different manufacturers have various kinds of detector configuration [11]. Thus, the results of our study may not apply to other manufacturers' scanners. Finally, the image quality and diagnostic efficacy of various kinds of multidetector HRCT were evaluated subjectively. However, the object of this study was to evaluate the image quality and diagnostic ability of various kinds of multidetector HRCT by comparing them with those of single-detector HRCT. The object was achieved, we believe, considering the support of the phantom.

In conclusion, the image quality of axial HRCT with multidetector CT is equal to that with conventional single-detector CT. The image quality of helical HRCT with multidetector CT is worse than that of axial HRCT with single-detector CT because of the blurring of faint parenchymal abnormalities. However, diagnostic efficacy is equal except for the high-speed helical mode. Axial and high-quality helical HRCT with multidetector CT is satisfactory for evaluating subtle abnormalities of the lung.


References
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 

  1. Nakata H, Kimoto T, Nakayama T, Kido M, Miyazaki N, Harada S. Diffuse peripheral lung disease: evaluation by high-resolution computed tomography. Radiology 1985;157:181 -185[Abstract/Free Full Text]
  2. Corcoran HL, Renner WR, Milstein MJ. Review of high-resolution CT of the lung. RadioGraphics 1992;12:917 -939[Abstract]
  3. Leung AN, Staples CA, Müller NL. Chronic diffuse infiltrative lung disease: comparison of diagnostic accuracy of high-resolution and conventional CT. AJR 1991;157:693 -696[Abstract/Free Full Text]
  4. Hu H. Multi-slice helical CT: scan and reconstruction. Med Phys 1999;26:5 -18[Medline]
  5. Markarian B, Dailey ET. Preparation of inflated lung specimens. In: Heitzman ER, ed. The lung: radiologic-pathologic correlations, 3rd ed. St. Louis: Mosby, 1993:4 -12
  6. Haaga JR, Miraldi F, MacIntyre W, LiPuma JP, Bryan PJ, Wiesen E. The effect of mAs variation upon computed tomography image quality as evaluated by in vivo and in vitro studies. Radiology 1981;138:449 -454[Abstract/Free Full Text]
  7. Mayo JR, Webb WR, Gould R, et al. High-resolution CT of the lungs: an optimal approach. Radiology 1987;163:507 -510[Abstract/Free Full Text]
  8. Zwirewich CV, Terriff B, Müller NL. High-spatial-frequency (bone) algorithm improves quality of standard CT of the thorax. AJR 1989;153:1169 -1173[Abstract/Free Full Text]
  9. Mayo JR. High resolution computed tomography: technical aspects. Radiol Clin North Am 1991;29:1043 -1049[Medline]
  10. Liang Y, Kruger RA. Dual-slice spiral versus single-slice spiral scanning: comparison of the physical performance of two computed tomography scanners. Med Phys 1996;23:205 -220[Medline]
  11. McCollough CH, Zink FE. Performance evaluation of a multi-slice CT system. Med Phys 1999;26:2223 -2230[Medline]
  12. Mayo JR, Müller NL, Henkelman RM. The double-fissure sign: a motion artifact on thin-section CT scans. Radiology 1987;165:580 -581[Abstract/Free Full Text]
  13. Tarver RD, Conces DJ Jr, Godwin JD. Motion artifacts on CT simulate bronchiectasis. AJR 1988;151:1117 -1119[Free Full Text]

Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
Br. J. Radiol.Home page
E J CHOI, Y-W OH, S Y HAM, K Y LEE, and E-Y KANG
Comparison between coronal reformatted images and direct coronal CT images of the swine lung specimen: assessment of image quality with 64-detector row CT
Br. J. Radiol., June 1, 2008; 81(966): 463 - 467.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Roentgenol.Home page
J. D. Dodd, C. A. Souza, and N. L. Muller
High-resolution MDCT of pulmonary septic embolism: evaluation of the feeding vessel sign.
Am. J. Roentgenol., September 1, 2006; 187(3): 623 - 629.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Roentgenol.Home page
J. D. Dodd, C. A. Souza, and N. L. Muller
Conventional high-resolution CT versus helical high-resolution MDCT in the detection of bronchiectasis.
Am. J. Roentgenol., August 1, 2006; 187(2): 414 - 420.
[Abstract] [Full Text] [PDF]


Home page
RadioGraphicsHome page
C. Beigelman-Aubry, C. Hill, A. Guibal, J. Savatovsky, and P. A. Grenier
Multi-Detector Row CT and Postprocessing Techniques in the Assessment of Diffuse Lung Disease
RadioGraphics, November 1, 2005; 25(6): 1639 - 1652.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Roentgenol.Home page
U. Studler, T. Gluecker, G. Bongartz, J. Roth, and W. Steinbrich
Image Quality from High-Resolution CT of the Lung: Comparison of Axial Scans and of Sections Reconstructed from Volumetric Data Acquired Using MDCT
Am. J. Roentgenol., September 1, 2005; 185(3): 602 - 607.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Roentgenol.Home page
D. A. Leswick, S. T. Webster, B. A. Wilcox, and D. A. Fladeland
Radiation Cost of Helical High-Resolution Chest CT
Am. J. Roentgenol., March 1, 2005; 184(3): 742 - 745.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
E. Coche, F. Verschuren, A. Keyeux, P. Goffette, L. Goncette, P. Hainaut, F. Hammer, E. Lavenne, F. Zech, P. Meert, et al.
Diagnosis of Acute Pulmonary Embolism in Outpatients: Comparison of Thin-Collimation Multi-Detector Row Spiral CT and Planar Ventilation-Perfusion Scintigraphy
Radiology, December 1, 2003; 229(3): 757 - 765.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Roentgenol.Home page
O. Honda, T. Johkoh, S. Yamamoto, M. Koyama, N. Tomiyama, T. Kozuka, S. Hamada, N. Mihara, H. Nakamura, and N. L. Muller
Comparison of Quality of Multiplanar Reconstructions and Direct Coronal Multidetector CT Scans of the Lung
Am. J. Roentgenol., October 1, 2002; 179(4): 875 - 879.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Honda, O.
Right arrow Articles by Kudo, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Honda, O.
Right arrow Articles by Kudo, M.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS