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Predicting the image noise level of prospective ECG-triggered coronary computed tomography angiography: quantitative measurement of thoracic component versus body mass index

 Hyeongmin Kim  ;  Chul Hwan Park  ;  Kyung Hwa Han  ;  Tae Hoon Kim 
 International Journal of Cardiovascular Imaging, Vol.31(Suppl 2) : 213-221, 2015 
Journal Title
 International Journal of Cardiovascular Imaging 
Issue Date
Automation ; Body Composition ; Body Mass Index* ; Cardiac-Gated Imaging Techniques* ; Coronary Angiography/methods* ; Coronary Vessels/diagnostic imaging* ; Electrocardiography* ; Feasibility Studies ; Female ; Humans ; Male ; Middle Aged ; Models, Biological* ; Multidetector Computed Tomography/methods* ; Predictive Value of Tests ; Radiation Dosage ; Radiation Exposure ; Radiographic Image Interpretation, Computer-Assisted ; Reproducibility of Results ; Retrospective Studies ; Thorax/anatomy & histology*
Body mass index ; Coronary vessels ; Noise ; Radiation dosage ; Tomography X-ray computed
We evaluated the feasibility of using quantitatively measured thoracic components, as compared to body mass index (BMI), for predicting the image noise of coronary computed tomography angiography (CCTA). One hundred subjects (M:F = 64:36; mean age, 55 ± 8.8 years) who underwent prospective electrocardiography-gated CCTA and low-dose chest computed tomography (CT) were analyzed retrospectively. The image noise of the CCTA was determined by the standard deviation of the attenuation value in a region of interest on the aortic root level. On the low-dose chest CT, the areas of the thoracic components were measured at the aortic root level. An auto-segmentation technique with the following threshold levels was used: quantitatively measured area of total thorax [QMAtotal: -910 to 1000 Hounsfield units (HU)], lung (QMAlung: -910 to -200 HU), fat (QMAfat: -200 to 0 HU), muscle (QMAmuscle: 0-300 HU), soft tissue (fat + muscle, QMAsoft tissue: -200 to 300 HU), bone (QMAbone: 300-1000 HU) and solid tissue (fat + muscle + bone, QMAsolid tissue: -200 to 1000 HU). The relationship between image noise and variable biometric parameters including QMA was analyzed, and the linear correlation coefficients were used as indicators of the strength of association. Among the variable biometric parameters, including BMI, QMAsolid tissue showed the highest correlation coefficient with image noise in all subjects (r = 0.804), males (r = 0.716), females (r = 0.889), the overweight (r = 0.556), and the non-overweight subgroups (r = 0.783). QMAsolid tissue can be used as a potential surrogate predictor of the image noise level in low tube voltage CCTA.
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1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
Yonsei Authors
Kim, Tae Hoon(김태훈) ORCID logo https://orcid.org/0000-0003-3598-2529
Kim, Hyeongmin(김형민)
Park, Chul Hwan(박철환) ORCID logo https://orcid.org/0000-0002-0004-9475
Han, Kyung Hwa(한경화)
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