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DOI:10.2214/AJR.06.1201
AJR 2007; 189:188-196
© American Roentgen Ray Society


Original Research

Uniform Image Quality Achieved by Tube Current Modulation Using SD of Attenuation in Coronary CT Angiography

Gham Hur1, Seong Wan Hong1, Su Young Kim2, Yong Hoon Kim1, Yoon Joon Hwang1, Won Ro Lee3 and Soon Joo Cha1

1 Department of Radiology, Inje University Ilsanpaik Hospital, Daewha-dong, Ilsan-seogu, Goyang-si, Gyuanggi-do 411-706, South Korea.
2 Department of Radiology, Inje University Ilsanpaik Hospital, Seoul, South Korea.
3 Department of Cardiology, Inje University Ilsanpaik Hospital, Goyang-si, Gyuanggi-do 411-706, South Korea.

Received September 8, 2006; accepted after revision January 26, 2007.

 
Address correspondence to G. Hur (ghurster{at}gmail.com).


Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
OBJECTIVE. The objective of our study was to evaluate whether the SD of CT attenuation values obtained from unenhanced scans of the left atrium is a reliable parameter for the individual modulation of tube current to achieve uniform image quality in coronary CT angiography (CTA).

MATERIALS AND METHODS. One hundred patients (59 men and 41 women) who were suspected to have coronary artery disease underwent coronary CTA using a 64-MDCT scanner. In addition to clinical studies, we also performed measurements on water phantoms. Tube current was modulated by the SD of the CT attenuation values measured from the left atrium on unenhanced images scanned at 300 mA. A modulation table was created from data obtained from the studies of water phantoms scanned at various tube currents. Other scanning parameters were identical to those used to obtain unenhanced and contrast-enhanced studies of the 100 patients. The SD values were measured from images scanned at an adjusted tube current, and the images of normal coronary and internal mammary arteries were graded. Radiation doses measured using the volume CT dose index (CTDIvol) were compared between the SD of the CT attenuation values and the modulation parameters suggested by the manufacturer of the scanner.

RESULTS. Image quality was rated as grade 3 (low mottle) on a 4-grade scale by four observers for 92-94 of the 100 patients (average, 92.5%). The mean SD value at an adjusted tube current was 12.1 H with an SD of 0.758 H (target SD = 12 H). A radiation dose reduction of 9-45% was achieved in patients grouped by weight who weighed less than 70 kg, and a reduction of up to 71% was seen in individual cases.

CONCLUSION. Modulating tube current using the SD of CT attenuation values from the left atrium is a highly reliable method of achieving uniform image quality in coronary CTA.

Keywords: cardiac imaging • coronary CT angiography • CT technique • radiation dose • tube current modulation


Introduction
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Patients undergoing coronary CT angiography (CTA) are exposed to a high dose of radiation (9.3-11.3 mGy from 16-MDCT) mainly resulting from retrospective ECG gating that is used to overcome cardiac motion. Moreover, radiation doses are expected to be even higher when performing CTA using 64-MDCT with its thinner collimation and higher tube power [1-6]. This exposure, in conjunction with the sensitivity of the overlying breast to radiation [7], mandates precise optimization of images to reduce radiation exposure and to maximize the diagnostic accuracy that can be achieved from uniform image quality [8].

Optimization occurs when a diagnostic-quality image is obtained at the lowest radiation dose possible and can be best accomplished in coronary CTA using one of two methods of tube current modulation: The first way is to use attenuation information and the second is to use information from the cardiac cycle (ECG) as modulating parameters. The latter is used mainly for radiation reduction, and the former is used for uniformity of image quality and for radiation reduction in smaller patients (< 65 kg). Ideally, the attenuation modulation parameter should accurately reflect the attenuation value of the imaged body part under actual scanning conditions and parameters. The method chosen also should be practical and easy to use.

Attenuation information can be divided into direct and indirect categories depending on the nature of the information. Indirect information includes body weight, height, circumference, and dimensions that can be obtained from either evaluating the patient or obtaining a topogram. Tube current modulation using indirect information is more effective than using a fixed tube current, but it is less effective than methods that use direct attenuation information [9-15]. Direct attenuation values reflect the tissue type (bone, fat, fluid) and the contents within organs (air, fluid) at a specific level. Angular and z-axis automatic tube current modulation, used by many vendors of CT units, and attenuation data, used by Irie and Inoue [16] for abdominal CT, are examples of modulating tube current on the basis of direct information. The topogram has been the main source of such information, and this type of information is considered to be more accurate than the indirect type [16-19].


Figure 1
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Fig. 1A Examples of discrepancy between body weight, body mass index (BMI), and noise at level of heart. All images are axial unenhanced images obtained at 300 mA. Insets in top right-hand corner show anteroposterior topograms. SD represents noise level and has exponential relationship with attenuation coefficient of scanning region. SD values were obtained from centrally located left atrium that contains homogeneous fluid (blood). Unenhanced image of 74-year-old woman with large breasts who weighs 67 kg (BMI = 27.88) (A) shows higher noise (SD of CT attenuation values = 19.65 H) than unenhanced image of 66-year-old man with small breasts who weighs 76 kg (BMI = 27.25) (B) with SD of 12.70 H.

 


Figure 2
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Fig. 1B Examples of discrepancy between body weight, body mass index (BMI), and noise at level of heart. All images are axial unenhanced images obtained at 300 mA. Insets in top right-hand corner show anteroposterior topograms. SD represents noise level and has exponential relationship with attenuation coefficient of scanning region. SD values were obtained from centrally located left atrium that contains homogeneous fluid (blood). Unenhanced image of 74-year-old woman with large breasts who weighs 67 kg (BMI = 27.88) (A) shows higher noise (SD of CT attenuation values = 19.65 H) than unenhanced image of 66-year-old man with small breasts who weighs 76 kg (BMI = 27.25) (B) with SD of 12.70 H.

 


Figure 3
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Fig. 1C Examples of discrepancy between body weight, body mass index (BMI), and noise at level of heart. All images are axial unenhanced images obtained at 300 mA. Insets in top right-hand corner show anteroposterior topograms. SD represents noise level and has exponential relationship with attenuation coefficient of scanning region. SD values were obtained from centrally located left atrium that contains homogeneous fluid (blood). Unenhanced image of 60-year-old woman who weighs 48 kg (BMI = 21.33) has high noise level (SD = 16.02 H) because of cardiomegaly and pericardial effusion.

 
ECG modulation can further reduce radiation exposure by allowing a full dose only when in phase with the least amount of cardiac motion [14, 15], but it is important that the two methods (i.e., ECG modulation and attenuation-based modulation) do not interact with each other negatively when both methods are implemented at the same time.

Our initial experiences implementing the protocols devised by the manufacturer of the CT units, which use either a fixed tube current of 400 mA or a tube current from a tube current table that lists tube currents on the basis of the patient's body weight, produced images with a wide variation of noise levels because of discrepancies between body size and attenuation values of the scanned region (Figs. 1A, 1B, and 1C) and motivated us to design a new method for more precise modulation of tube current. For our study, automatic tube current modulation was not included in the protocol, and ECG modulation was not available.

The goal of this study was to evaluate a new tube current modulation method that uses direct attenuation information from reconstructed images as the modulation parameter by measuring the SD of the CT attenuation values from the left atrium. Unlike the attenuation values obtained from topograms, such as those obtained from automatic tube current modulation, the SD of the CT attenuation values from reconstructed images reflects complex scanning parameters, including ECG gating and body composition. Therefore, a more accurate tube current modulation can be achieved for uniform image quality.

To use the SD values as a parameter, we needed to create a tube current (mA) modulation table using images of phantoms of various sizes obtained with identical scanning parameters before and after contrast administration, including scans obtained with ECG gating and at various tube currents.

This new method of tube current modulation in coronary CTA has not been described elsewhere to our knowledge, and we think that it has advantages over other methods.


Materials and Methods
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Patients
This study was approved by our institutional review board and patient consent was waived. The images and data from 100 patients (59 men with a mean age of 56.2 years; 41 women with a mean age of 56.1 years) were selected from 245 consecutive patients who underwent coronary CTA between February 2, 2006, and April 21, 2006. Fifty patients were excluded because of a high attenuation value (SD values > 17 H) at the level of the heart; images of the desired noise level could not have been produced in these patients even if the maximum allowable tube current (i.e., 500 mA) was used.

Ninety-five patients with atherosclerosis (53 men with a mean age of 60.03 years and 42 women with of mean age of 62.23 years) involving the proximal coronary arteries were excluded from visual analysis for two reasons: The first is the difficulty in differentiating between atherosclerosis and noise as the cause of coarseness of vessel walls, and the other is the difficulty in selecting normal vessels of 1.5 mm in diameter in patients with advanced disease. This group was, however, included in the measurement analysis of noise (SD of CT attenuation values at corrected tube current).

Routine preparation of patients for coronary CTA in our institution includes an oral dose of 50-75 mg of atenolol 1 hour before the examination in patients with heart rates of 65 beats per minute (bpm) or greater except for those who have contraindications (e.g., low blood pressure) [20] and a sublingual dose of nitroglycerin (0.6 mg) in all patients before scanning. For each patient, body weight was recorded from a chart but body dimensions were measured using topography (anteroposterior diameter x transverse diameter).

Phantom Study
Water phantoms of four different diameters (180, 245, 300, 350 cm) mounted on a single frame were scanned using a 64-MDCT scanner (Aquilion 64, Toshiba Medical Systems) with the same scanning parameters used for CTA before and after contrast administration except for tube currents, which ranged from 150 to 500 mA in 50-mA increments. An ECG signal of 62 bpm was provided by a technologist and pitch, which is selected automatically according to the heart rate, was 0.204. Volume CT dose index (CTDIvol), expressed in milligrays (mGy), was recorded from the operator console. Images were reconstructed at a thickness of 3 mm without a gap for scans with unenhanced parameters and at a thickness of 0.5 mm with 0.3-mm intervals for scans with enchanced parameters. Four images that did not contain partial volume effects were selected from the images of each phantom taken at each tube current, and the SD of the CT attenuation values was measured from the central areas using a cursor size of 200 mm2. The average values were plotted on charts (Figs. 2A and 2B). To obtain SD values between each of the phantom sizes, we calculated median exponential values using the formula-weighted CT dose index (CTDIw) x {sigma}2 {alpha} ex D), which is described in the next section, Technical Background.


Figure 4
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Fig. 2A Nomograms for radiation dose (volume CT dose index [CTDIvol]), noise level in SD of CT attenuation values, and size of phantom scanned with precontrast (A) and postcontrast (B) parameters. Each exponential curve shows relationship between phantom size and SD value at given tube current. Radiation dose (CTDIvol) in parentheses increases linearly with tube current; however, data are scanner-specific (Aquilion 64, Toshiba Medical Systems) and other scanners may produce different radiation doses with same parameters. Nomogram obtained using precontrast parameters: 120 kV, 180-mm field of view, 4 x 3 mm collimation, sequential, prospective ECG gating, and half exposure.

 

Figure 5
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Fig. 2B Nomograms for radiation dose (volume CT dose index [CTDIvol]), noise level in SD of CT attenuation values, and size of phantom scanned with precontrast (A) and postcontrast (B) parameters. Each exponential curve shows relationship between phantom size and SD value at given tube current. Radiation dose (CTDIvol) in parentheses increases linearly with tube current; however, data are scanner-specific (Aquilion 64, Toshiba Medical Systems) and other scanners may produce different radiation doses with same parameters. Nomogram obtained using postcontrast parameters: 120 kV, helical, retrospective ECG gating, 64 x 0.5 mm collimation, pitch of 0.204, and half reconstruction.

 


Figure 6
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Fig. 3 Graph illustrates how we created tube current modulation table. For example, to reach target SD of 12 H in patient with SD of 10 H on unenhanced images, we placed transverse line (line A) to pass through point of intersection between 300-mA exponential curve and SD value equal to 12 H (red circle), desired target noise level; second, we placed a vertical line (line B) at point where 300-mA exponential curve crosses SD value of 10 H (blue circle), which is SD value obtained from unenhanced images of patient; third, we read crossing point of vertical and transverse lines (green circle) that lies between exponential lines of 200 and 250 mA, closer to 200 mA. Positive slope of line A shows increasing difference of SD values between unenhanced and contrast-enhanced images as phantom size increases from 180 to 300 cm, and it reflects difference in radiation dose between two parameters on reconstructed images.

 
Technical Background
The initiative to modulate tube current with the SD of CT attenuation values from the reconstructed axial image of the heart is based on the well-known relationship between CTDI, image noise ({sigma}2 w), and body size (D) that can be expressed by CTDIw x {sigma}2 {alpha} e x D). This formula was used by Menke [11], who referred to Nagel [21], who referred to Brooks and Di Chiro [22], where e is the base of natural logarithms (constant) and µ is the mean attenuation coefficient of the water (phantom) at a defined tube voltage. The formula indicates that the attenuation value can be calculated by measuring noise level (SD of CT attenuation values), but this calculation requires consistent homogeneous fluid of low attenuation at the center of the imaged body part for accuracy [16, 19, 23].

Tube Current (mA) Modulation Table
To adjust the SD values between the pre- and postcontrast parameters, 300-mA precontrast SD values were subtracted from the postcontrast SD values and plotted on the precontrast parameter chart (Fig. 3). The transverse line with a positive slope (1.5°, line A on Fig. 3) represents the increasing differences of SD values between unenhanced and contrast-enhanced images as the phantom size increases from 180 cm (SD = 0.5 H) to 300 (SD = 1.5 H) cm. The transverse line becomes slightly steeper starting at a phantom diameter of 300 cm, and the difference of SD values becomes 2 H at a phantom diameter of 350 cm.

Using the following steps, we created a tube current modulation table from the monogram: First, place a transverse line (line A) to pass through the point of intersection between the 300-mA exponential curve and an SD value equal to 12 H, the desired target noise level; second, place a vertical line (line B) at the point where the 300-mA exponential curve crosses the SD value of 10 H, which is an SD value obtained from unenhanced images of a patient; third, read the crossing point of the vertical and transverse lines that lies between the exponential lines of 200 and 250 mA, closer to 200 mA (Fig. 3). The same method was used to calculate each SD value from 7 to 18 H at three different target noise levels of 11, 12, and 13 (Table 1). The numbers in boldface in Table 1 represent the maximum tube currents and may not generate image quality of the desired noise level. The SD values of the phantoms larger than 280 cm were beyond the correctable range with maximum allowable tube current (500 mA) and were not included for the calculation of the modulation table. In addition, SD values of less than 8 H (phantom size of 197.5 cm) were regarded as 8 H, because the minimum tube current used in the phantom study was 150 mA.


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TABLE 1: Tube Current Modulation Table with Radiation Dose Shown as Volume CT Dose Index (CTDIvol)

 

Imaging
After topograms were obtained, prospectively ECG-gated sequential unenhanced scans were obtained with a 3-mm collimation, 0.4-second rotation time, half exposure, 120 kV, 180-mm field of view, and 300 mA. Two or three sectional scans from the mid level of the left ventricle were omitted to reduce radiation. The images were used to determine the scanning range and to position the heart in the center of the field of view. The SD of the CT attenuation values of the left atrium at the level of entry for the right pulmonary veins was measured from four images (single sectional scans) using a cursor circle of 200 mm2, and the four values were then averaged. If streak artifacts from vertebral bodies were present, the next image without such artifacts was used.

For the contrast-enhanced images, a retrospective ECG-gated helical scan was obtained with a 0.5-mm collimated section thickness (64 x 0.5 mm collimation), pitch of 0.204-0.224 (automatically selected depending on the patient's pulse rate), 180-mm field of view, 120-kV tube potential, and 0.4-second rotation time with half reconstruction (200 milliseconds of temporal resolution, 100 milliseconds with two segmentations at higher heart rates).

Tube current was individually modulated using the tube current modulation table (Table 1). CTDIvol, expressed in milligrays (mGy), which was displayed on the operator console, was used to measure radiation dose. One additional slice (3 mm x 4 images) of an unenhanced sequential scan was obtained at the same level in patients who were scanned with a tube current other than 300 mA to measure the SD of the CT attenuation values (Figs. 4A and 4B). The automatic contrast triggering system (SURE Start, Toshiba Medical Systems), which triggered at identification of 140-160 H at the aortic root after injection of 60-80 mL (scaled to body weight) of nonionic contrast material (iohexol [Omnipaque 350, GE Healthcare]), was used in all patients. Contrast material was injected through an 18-gauge IV catheter at a rate of 4.5 mL/s and was followed by a chaser of 30 mL of normal saline. Each patient's body weight was recorded and body dimensions (anteroposterior diameter x transverse diameter) were measured from the topogram at the level of the left atrium.


Figure 7
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Fig. 4A SD of CT attenuation values before and after use of adjusted tube current (mA) in 55-year-old man weighing 84 kg who presented with atypical chest pain and hypertension. Unenhanced image obtained with tube current of 300 mA at level of right pulmonary vein shows SD value of 14.12 H (average of four images = 14.62 H).

 

Figure 8
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Fig. 4B SD of CT attenuation values before and after use of adjusted tube current (mA) in 55-year-old man weighing 84 kg who presented with atypical chest pain and hypertension. Unenhanced image obtained with tube current of 380 mA, which is adjusted mA according to table, shows SD value of 12.61 H (average of four images = 12.34 H).

 
Postprocessing
The images routinely used for interpretation included reconstructions of three axial source images with a thickness of 0.5- and 0.3-mm intervals using a matrix of 512 x 512 with the data acquisition windows centered at 70%, 75%, and 80% of the R-R interval as suggested by the manufacturer. The data set with the least motion artifact in the right coronary artery (RCA) was loaded on the separate 3D workstation (Rapidia, Infinitt) to reformat curved multiplanar reconstructions (MPRs) in two directions and color-coded 3D images. If necessary, end-systolic to early-diastolic phase (380-420 millisecond) data sets were obtained in patients with higher heart rates.

For the analysis of uniformity in image quality, a separate set of images of normal coronary arteries and normal internal mammary arteries of 1.5 mm in diameter (1.35-1.65 mm) was created in curved MPR of 1 mm in thickness and color-coded 3D images were created using the same attenuation value threshold setting. The imaging process was performed by a single technologist who used the same display conditions (at 300% zoom: width, 720 H; level, 250 H) for all patients. A total of 100 sets of four images each from 100 patients were stored in separate folders in DICOM format in random order.

Uniformity Analysis
Measurement analysis—The SD of CT attenuation values was measured from the four unenhanced images obtained with the corrected tube current using the same size of region-of-interest (ROI) cursor in both groups of patients (100 patients with normal coronary arteries and 95 patients with atherosclerosis). Mean values with SDs were calculated for each group. The data from the patients with atherosclerosis were not included in the correlation chart of tube currents determined by different parameters to avoid confusion.

Visual analysis—Using images obtained from a database of images collected before the use of the new tube current modulation method, we created a 4-grade scale to evaluate image quality for visualization of the coronary and internal mammary arteries that were 1.5 mm in diameter: 1 = high mottle, 2 = medium mottle, 3 = low mottle, 4 = minimal or no mottle. Sample images displayed in color-coded volume rendering and curved MPR for each grade of image noise level were agreed on by four observers (Figs. 5A, 5B, and 5C). In a blind review, four radiologists, all of whom are experienced in CTA, rated all of the image sets by importing them onto a DICOM image viewer with two monitors: one for the images being evaluated and the other for the sample images displayed for comparison during the analysis (Table 2).


Figure 9
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Fig. 5A Coronary CT angiography (CTA) images that were used as samples to illustrate each grade of image quality: grade 1 = high mottle, 2 = medium mottle, 3 = low mottle, and 4 = minimal or no mottle. Left anterior oblique views of normal coronary CTA show samples characterized as high quality (A) (grade 4, no mottle) and samples considered low quality (B) (grade 1, high mottle).

 

Figure 10
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Fig. 5B Coronary CT angiography (CTA) images that were used as samples to illustrate each grade of image quality: grade 1 = high mottle, 2 = medium mottle, 3 = low mottle, and 4 = minimal or no mottle. Left anterior oblique views of normal coronary CTA show samples characterized as high quality (A) (grade 4, no mottle) and samples considered low quality (B) (grade 1, high mottle).

 

Figure 11
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Fig. 5C Coronary CT angiography (CTA) images that were used as samples to illustrate each grade of image quality: grade 1 = high mottle, 2 = medium mottle, 3 = low mottle, and 4 = minimal or no mottle. Selected normal coronary vessels (C) and normal internal mammary arteries (D) of 1.5 mm in diameter are shown in color-coded volume-rendered images (upper row) and curved multiplanar reconstructions (bottom row). From left (grade 1) to right (grade 4), sample image of each quality grade is shown.

 

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TABLE 2: Results of Image Quality Assessments

 


Figure 12
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Fig. 5D Coronary CT angiography (CTA) images that were used as samples to illustrate each grade of image quality: grade 1 = high mottle, 2 = medium mottle, 3 = low mottle, and 4 = minimal or no mottle. Selected normal coronary vessels (C) and normal internal mammary arteries (D) of 1.5 mm in diameter are shown in color-coded volume-rendered images (upper row) and curved multiplanar reconstructions (bottom row). From left (grade 1) to right (grade 4), sample image of each quality grade is shown.

 
Correlation Chart Between Parameters and Radiation Dose Comparison
Correlations were made between the tube currents used and the manufacturer's suggested tube currents (300-500 mA depending on body weight and fixed tube current at 400 mA) (Fig. 6). The average radiation dose (CTDIvol) per patient was calculated for five patient groups according to body weight in 10-kg increments for each tube current modulation parameter (Table 3). A correlation chart (scatterplot) was constructed between the SD of the CT attenuation values, body weight, and body dimensions using SPSS software (version 10.0, SPSS) for Windows (Microsoft) (Figs. 7A and 7B).


Figure 13
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Fig. 6 Correlation chart shows tube currents determined by different parameters and by corrected SD of CT attenualtion values. Patients are sorted by weight (red line). SD values of unenhanced images obtained at corrected tube current are displayed at bottom of chart (transverse line at bottom). Blue line indicates actual tube current modulated by SD values and shows wide range of differences from fixed tube current at 400 mA (transverse line at top) and tube currents that would have been modulated by patient weight (transverse line with three steps to indicate 10-kg increments). Graph indicates poor correlation between is and SD values in patients at all levels of body weight. Using fixed mA of 400 mA or modulating mA by patient body weight are recommended by manufacturer (Aquilion 64, Toshiba Medical Systems), mA SD = mA modulated by SD values, mA weight = mA modulated by body weight, Fixed mA = mA fixed at 400 mA. SD correct = SD values measured from images obtained with adjusted mA.

 

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TABLE 3: Comparison of Radiation Dose (Volume CT Dose Index) Between Parameters Used to Modulate Tube Current: SD of CT Attenuation Value, Body Weight, and Fixed Tube Current of 400 mAa

 

Figure 14
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Fig. 7A Scatterplots between SD of CT attenuation values, body weight, and body dimensions. Body dimension from topogram (product of anteroposterior and transverse diameters) shows better correlation with SD of CT attenuation values than with body weight. Scatterplot between SD of CT attenuation values and body weight: Pearson's correlation coefficient = 0.692 (R2 = 0.479).

 

Figure 15
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Fig. 7B Scatterplots between SD of CT attenuation values, body weight, and body dimensions. Body dimension from topogram (product of anteroposterior and transverse diameters) shows better correlation with SD of CT attenuation values than with body weight. Scatterplot between SD of CT attenuation values and body dimensions: Pearson's correlation coefficient = 0.771 (R2 =0.595).

 


Results
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
In the visual analysis, the four observers rated image quality as grade 3 (low mottle) on a four-grade scale for 92-94 of the 100 patients (average, 92.5%) and none of the images was rated grade 1 (high mottle), suggesting that the quality of the images was highly uniform (Table 2). The mean SD value at the corrected tube current was 12.1 H with an SD of 0.758 H; this SD is close to the desired target SD value of 12 H (Figs. 7A and 7B). In the group of patients with atherosclerosis, the mean SD value was 12.21 H (SD = 0.90 H), suggesting a noise level similar to that of the healthy group.

The correlation chart between tube current levels determined by SD values of unenhanced images, body weight, and a fixed tube current of 400 mA (manufacturer's guideline) shows wide differences in tube currents used in all sizes of patients. Either these patients would have received radiation in excess of the dose needed to obtain diagnostic quality images or image quality would have been poor due to inadequate dosing (Fig. 6).

Using SD values to modulate tube current, we found that patients who weighed 69 kg or less received 9-30% less radiation (CTDIvol) than if body weight modulation had been used and 18-45% less than if a fixed tube current of 400 mA had been used. There were individual patients who received 71% less radiation. Patients who weighed 70 kg or more received 1-11% more radiation (Table 3) to achieve the desired noise level. Body dimensions showed a better correlation with the SD of the CT attenuation values than did body weight (Figs. 7A and 7B).


Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Although automatic tube current modulation uses attenuation information directly from a topogram, it often does not accurately reflect the SD values of resulting reconstructed images because of various factors (e.g., reconstruction algorithm, slice thickness, filters, position of the patient, size of field of view, beam-hardening artifacts) despite slice thickness compensation to improve accuracy [18]. The inevitable use of ECG gating in coronary CTA with the currently available scanners makes scanning and reconstruction parameters even more complex (e.g., overlapping scans), so the resulting reconstructed image noise may not accurately reflect attenuation values obtained on a topogram.

Automatic tube current modulation is known to be an effective method of reducing radiation dose to the abdomen and pelvis [18, 24, 25], but it is expected to be limited in coronary CTA because of the relatively smaller angular or z-axis fluctuation of attenuation at the level of the heart. In addition, z-axis automatic tube current modulation cannot be used with ECG modulation when both techniques are implemented at the same time [1]. Our method will not affect the use of ECG modulation or angular automatic tube current modulation because the tube current is selected before scanning starts. In addition, an SD value-based tube current modulation table can be used without cost by users of the same scanner model (Aquilion 64), and no installation of software is required. Users of other models of scanner made by Toshiba or of scanners made by other manufacturers can create a tube current modulation table through a series of phantom tests by referring to our method.

The new modulation method can be automated by creating an ROI cursor of a predetermined size to be placed at the center of left atrium and by calculating average SD values to match with the tube current modulation reference table. A system with automated software based on this principle will enhance the use of tube current modulation for the uniformity of images and radiation dose reduction in smaller patients. Although the method is designed specifically for coronary CTA, it also can be used for imaging other body parts with low z-axis fluctuation of attenuation and central homogeneous tissue (fluid), such as for CT of the organs surrounding the bladder.

The left atrium was chosen in this study for the measurement of SD of CT attenuation values because of its central location and thin myocardium; thick myocardium can falsely increase SD value. The SD values from four images were averaged to minimize measurement error. To evaluate the reproducibility of SD measurements, SD measurements on four images obtained from each of 20 randomly selected patients were performed by four observers. The intraclass correlation coefficients were 0.993, 0.991, 0.990, and 0.994, respectively, using SPSS software (version 10.0, SPSS) for Windows (Microsoft), suggesting a high level of reproducibility.

For evaluation of uniformity of image quality, directly measuring the SD of CT attenuation values from the left atrium on contrast-enhanced images may seem to be the most accurate and simple method. However, we found that this method is not accurate because of nonuniform contrast enhancement. Instead, we measured the SD of CT attenuation values from unenhanced images obtained at an adjusted tube current before obtaining the contrast-enhanced images.

There is a bias to perform the measurement analysis of noise (SD of CT attenuation values) from unenhanced images to evaluate the uniformity of contrast-enhanced images because there is a significant difference in scanning parameters (radiation dose) between the two images. Although we adjusted for this difference in the process of creating the tube current modulation reference table, we needed additional assurances, so we visually analyzed images of both the coronary and internal mammary arteries.

The internal mammary artery was included in the visual analysis of images to avoid bias from motion artifact and possible unrecognized atherosclerosis that might degrade image quality. It is coincidental that the internal mammary artery, which is affected little by cardiac pulsation, is consistently included in the imaging field, and it has a very low incidence of atherosclerosis because of the low number of vasa vasorum [26-28].

Contrast enhancement will increase the attenuation coefficiency of contrast-enhanced images; however, this could not be factored into the phantom test or the calculation of the tube current modulation table because of technical limitations.

Because there is no universally accepted method of grading image quality in coronary CTA, we used a grading scale similar to the one that Irie and Inoue [16] and Rizzo et al. [25] used for abdominal CT. Although the optimal image noise level has been suggested at an SD value of 10-11 H for the chest and 11-12 H for the abdomen by vendors of CT units and by some authors [16, 18], the optimal diagnostic image quality has not been scientifically supported in coronary CTA. The optimal desirable noise level may be determined on the basis of the study purposes (e.g., significant stenosis, quantification of stenosis, or soft plaque analysis). However, we have been using 12 H (equivalent to 11 H on contrast-enhanced images) as the desired target noise level in more than 1,000 patients. Although these data have not been published in the literature, this image quality has been well received among referring cardiologists.

Another limitation to this study is that the normalcy of coronary arteries was not confirmed with conventional angiography. Recent reports of the accuracy of coronary CTA using 64-MDCT show a high negative predictive value (93-99%), and the results were from using the criterion of more than 50% stenosis as an abnormal segment [29-31]. Because we used "no visible atherosclerosis" as the criterion for normal coronary arteries, the negative predictive values in our cases are even higher.

At some institutions, radiologists prefer to perform coronary CTA without obtaining a precontrast calcium scoring scan to reduce radiation dose [32, 33]; however, this practice may not necessarily reduce the radiation dose because a larger-than-necessary scan range is often selected to avoid "failed scan range determination" when the topogram is used alone. A 1-cm excess of scan range (average scan range = 11.4 cm) will increase the total dose-length product (DLP) by 8-9% in our institution (postcontrast, 85% of total dose; topogram, 1%; bolus tracking, 7%; calcium scoring, 7% in dose analysis of 20 patients in our institution), and this is about the same radiation dose as the entire unenhanced scan at 300 mA.

In summary, the SD of CT attenuation values from the left atrium is an accurate parameter with which to modulate tube current for coronary CTA. This method has not been described elsewhere to our knowledge, and we think that this method has advantages over other methods, as we discussed earlier. The method, either manual or automated (when it become available), will give operators an additional choice for tube current modulation in coronary CTA.


Acknowledgments
 
We thank Ki Su Park, RT, a chief CT technologist, for his invaluable assistance in CT imaging and Edward Y. Hur for his outstanding editing. We also thank Hyun Hoi Her, a chief service engineer from Daihan Metra, a local distributor of Toshiba Medical Systems, for phantom studies.


References
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

  1. Abada HT, Larchez C, Daoud B, Sigal-Cinqualbre A, Paul JF. MDCT of the coronary arteries: feasibility of low-dose CT with ECG-pulsed tube current modulation to reduce radiation dose. AJR2006; 186[6 suppl 2]:S387 -S390[Abstract/Free Full Text]
  2. Pannu HK, Flohr TG, Corl FM, Fishman EK. Current concepts in multi-detector row CT evaluation of the coronary arteries: principles, techniques, and anatomy. RadioGraphics2003; 23[spec no]:S111 -S125[Abstract/Free Full Text]
  3. Flohr TG, Schaller S, Stierstorfer K, Bruder H, Ohnesorge BM, Schoepf UJ. Multi-detector row CT systems and image-reconstruction techniques. Radiology 2005;235 : 756-773[Abstract/Free Full Text]
  4. Nieman K, Rensing BJ, van Geuns RJ, et al. Noninvasive coronary angiography with multislice spiral computed tomography: impact of heart rate. Heart 2002; 88:470 -474[Abstract/Free Full Text]
  5. Nieman K, Cademartiri F, Lemos PA, Raaijmakers R, Pattynama PMT, de Feyter PJ. Reliable noninvasive coronary angiography with fast submillimeter multislice spiral computed tomography. Circulation2002; 106:2051 -2054[Abstract/Free Full Text]
  6. Morin RL, Gerber TC, McCollough CH. Radiation dose in computed tomography of the heart. Circulation2003; 107:917 -922[Free Full Text]
  7. Hunold P, Vogt FM, Schmermund A, et al. Radiation exposure during cardiac CT: effective doses at multi-detector row CT and electron-beam CT. Radiology 2003;226 : 145-152[Abstract/Free Full Text]
  8. Boskamp T, Rinck D, Link F, Kummerlen B, Stamm G, Mildenberger P. New vessel analysis tool for morphometric quantification and visualization of vessels in CT and MR imaging data sets. RadioGraphics2004; 24:287 -297[Abstract/Free Full Text]
  9. Naidich DP, Marshall CH, Gribbin C, Arams RS, McCauley DI. Low-dose CT of the lungs: preliminary observations. Radiology1990; 175:729 -731[Abstract/Free Full Text]
  10. Wildberger JE, Mahnken AH, Schmitz-Rode T, et al. Individually adapted examination protocols for reduction of radiation exposure in chest CT. Invest Radiol 2001;36 : 604-611[CrossRef][Medline]
  11. Menke J. Comparison of different body size parameters for individual dose adaptation in body CT of adults. Radiology 2005;236 : 565-571[Abstract/Free Full Text]
  12. Kalra MK, Maher MM, Toth TL, et al. Strategies for CT radiation dose optimization. Radiology 2004;230 : 619-628[Abstract/Free Full Text]
  13. Huda W, Scalzetti EM, Levin G. Technique factors and image quality as functions of patient weight at abdominal CT. Radiology 2000;217 : 430-435[Abstract/Free Full Text]
  14. Poll LW, Cohnen M, Brachten S, Ewen K, Modder U. Dose reduction in multi-slice CT of the heart by use of ECG-controlled tube current modulation ("ECG pulsing"): phantom measurements. Rofo 2002; 174:1500 -1505[Medline]
  15. Trabold T, Buchgeister M, Kuttner A, et al. Estimation of radiation exposure in 16-detector row computed tomography of the heart with retrospective ECG-gating. Rofo 2003;175 : 1051-1055[Medline]
  16. Irie T, Inoue H. Individual modulation of the tube current-seconds to achieve similar levels of image noise in contrast-enhanced abdominal CT. AJR 2005; 184:1514 -1518[Abstract/Free Full Text]
  17. Gies M, Kalender WA, Wolf H, Suess C. Dose reduction in CT by anatomically adapted tube current modulation. I. Simulation studies. Med Phys 1999; 26:2235 -2247[CrossRef][Medline]
  18. Kalra MK, Maher MM, Toth TL, et al. Techniques and applications of automatic tube current modulation for CT. Radiology2004; 233:649 -657[Abstract/Free Full Text]
  19. Starck G, Lonn L, Cederblad A, Forssell-Aronsson E, Sjostrom L, Alpsten M. A method to obtain the same levels of CT image noise for patients of various sizes, to minimize radiation dose. Br J Radiol 2002; 75:140 -150[Abstract/Free Full Text]
  20. Pannu HK, Alvarez W Jr, Fishman EK. Beta-blockers for cardiac CT: a primer for the radiologist. AJR 2006;186 [6 suppl 2]:S341 -S345[Abstract/Free Full Text]
  21. Nagel HD. Radiation exposure in computed tomography: fundamentals, influencing parameters, dose assessment, optimization, scanner data, terminology, 2nd ed. Frankfurt, Germany: COCIR,2000 : 25-42
  22. Brooks RA, Di Chiro G. Statistical limitations in x-ray reconstructive tomography. Med Phys 1976;3 : 237-240[CrossRef][Medline]
  23. Haaga J, Miraldi F, MacIntyre W, LiPuma J, Bryan P, Wiesen E. The effect of mAs variation upon computed tomography image quality as evaluated by in vivo and in vitro studies. Radiology1981; 138:449 -454[Abstract/Free Full Text]
  24. Kalra MK, Rizzo S, Maher MM, et al. Chest CT performed with z-axis modulation: scanning protocol and radiation dose. Radiology 2005;237 : 303-308[Abstract/Free Full Text]
  25. Rizzo S, Kalra M, Schmidt B, et al. Comparison of angular and combined automatic tube current modulation techniques with constant tube current CT of the abdomen and pelvis. AJR2006; 186:673 -679[Abstract/Free Full Text]
  26. Landymore RW, Chapman DM. Anatomical studies to support the expanded use of the internal mammary artery graft for myocardial revascularization. Ann Thorac Surg 1987;44 : 4-6[Abstract]
  27. Daly RC, McCarthy PM, Orszulak TA, Schaff HV, Edwards WD. Histologic comparison of experimental coronary artery bypass grafts: similarity of in situ and free internal mammary artery grafts. J Thorac Cardiovasc Surg 1988;96 : 19-29[Abstract]
  28. Galili O, Sattler KJ, Herrmann J, et al. Experimental hypercholesterolemia differentially affects adventitial vasa vasorum and vessel structure of the left internal thoracic and coronary arteries. J Thorac Cardiovasc Surg 2005;129 : 767-772[Abstract/Free Full Text]
  29. Ehara M, Surmely JF, Kawai M, et al. Diagnostic accuracy of 64-slice computed tomography for detecting angiographically significant coronary artery stenosis in an unselected consecutive patient population: comparison with conventional invasive angiography. Circ J 2006; 70:564 -571[CrossRef][Medline]
  30. Fine JJ, Hopkins CB, Ruff N, Newton FC. Comparison of accuracy of 64-slice cardiovascular computed tomography with coronary angiography in patients with suspected coronary artery disease. Am J Cardiol 2006; 97:173 -174[CrossRef][Medline]
  31. Leschka S, Alkadhi H, Plass A, et al. Accuracy of MSCT coronary angiography with 64-slice technology: first experience. Eur Heart J 2005; 26:1482 -1487[Abstract/Free Full Text]
  32. Leber AW, Knez A, von Ziegler F, et al. Quantification of obstructive and nonobstructive coronary lesions by 64-slice computed tomography: a comparative study with quantitative coronary angiography and intravascular ultrasound. J Am Coll Cardiol2005; 46:147 -154[Abstract/Free Full Text]
  33. Budoff MJ, Achenbach S, Blumenthal RS, et al. Assessment of coronary artery disease by cardiac computed tomography: a scientific statement from the American Heart Association Committee on Cardiovascular Imaging and Intervention, Council on Cardiovascular Radiology and Intervention, and Committee on Cardiac Imaging, Council on Clinical Cardiology. Circulation 2006;114 : 1761-1791[Free Full Text]

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