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Validation of Second-Generation Motion-Correction Software for Computed Tomography Coronary Angiography With Novel Quantitative Approach
- Source :
- Journal of computer assisted tomography. 45(3)
- Publication Year :
- 2021
-
Abstract
- INTRODUCTION Computed tomography of the coronary arteries (CTCA) is an important diagnostic tool. However, motion degradation is sometimes a challenge to interpretation and quantification, particularly with elevated heart rates. Here, a novel quantitative method is presented as part of an evaluation of one particular motion correction algorithm. METHODS Computed tomography of the coronary arteries scans from 49 patients, with heart rates of >70 bpm, were identified with motion artifacts in multiple coronary segments. At these foci (196), an objective measure of motion degradation, defined here by cross-section eccentricity, was determined before and after image processing with second-generation GE SnapShot Freeze software (SSF-2.0). In addition, a subjective scoring was applied by an expert cardiothoracic radiologist both before and after processing. RESULTS An overall decrease in vessel eccentricity strongly correlated (P < 0.001) with processing of the images by motion-correction software. A concurrent overall increase in subjective vessel clarity correlated (P < 0.001) with application of the software as well. CONCLUSIONS A novel quantitative method (and subjective analysis) for evaluation of CTCA motion has been described and applied to validation of SSF-2.0 motion-correction software. Both the technique and software demonstrate promise for robust clinical utility in CTCA evaluation.
- Subjects :
- Coronary angiography
Computed Tomography Angiography
Myocardial Ischemia
Computed tomography
Coronary Artery Disease
Coronary Angiography
030218 nuclear medicine & medical imaging
03 medical and health sciences
Motion
0302 clinical medicine
Software
Motion artifacts
Medicine
Humans
Radiology, Nuclear Medicine and imaging
Retrospective Studies
medicine.diagnostic_test
business.industry
Motion correction
Coronary arteries
medicine.anatomical_structure
Radiographic Image Interpretation, Computer-Assisted
business
Nuclear medicine
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 15323145
- Volume :
- 45
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Journal of computer assisted tomography
- Accession number :
- edsair.doi.dedup.....d2399ea8161e494c61d79b993515d9ab