Effects of scanning and reconstruction parameters on image quality in electron-beam CT angiography: Coronary Artery Phantom Study

Citation
B. Lu et al., Effects of scanning and reconstruction parameters on image quality in electron-beam CT angiography: Coronary Artery Phantom Study, ACAD RADIOL, 7(11), 2000, pp. 927-933
Citations number
23
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging
Journal title
ACADEMIC RADIOLOGY
ISSN journal
10766332 → ACNP
Volume
7
Issue
11
Year of publication
2000
Pages
927 - 933
Database
ISI
SICI code
1076-6332(200011)7:11<927:EOSARP>2.0.ZU;2-2
Abstract
Rationale and Objectives. This study compared the image quality obtained wi th different scanning and reconstruction parameters for electron-beam compu ted tomographic (CT) angiography and sought optimal methods for visualizing the coronary artery lumen. Materials and Methods. Electron-beam CT angiography with contrast material enhancement was used to image 35 branches of fresh postmortem swine coronar y arteries. Different collimation widths, fields of view (FOVs), reconstruc tion kernels, and algorithms were employed to reconstruct the acquired raw data into CT angiographic images. Image quality was compared and analyzed. Results. The contrast-to-noise ratios (C/Ns) for 1.5-, 2-, and 3-mm section thickness were 28.4 +/- 15.2, 31.9 +/- 9.3, and 33.8 +/- 14.5, respectivel y (P < .05). The lengths of visualized coronary artery lumina were signific antly longer for 1.5-mm scanning (71.6 mm +/- 4.3) than for 2-mm (58.3 mm /- 5.5) and 3-mm scanning (59.0 mm +/- 8.0) (P < .01). The C/Ns for 12.7-, 18.0-, and 26.0-cm FOV reconstruction were 32.8 +/- 9.9, 28.9 +/- 8.2, and 27.1 +/- 8.2, respectively (not significant), and the visualized luminal le ngths were 76.1 mm +/- 12.5, 71.7 mm +/- 14.6, and 65.4 mm +/- 13.1, respec tively (not significant). The highest C/N (48.2 +/- 13.3) was achieved with smooth kernels and a cone-beam algorithm, and the lowest (14.7 +/- 3.4) wi th very sharp kernels and a normal algorithm. Cone-beam algorithm images ha d significantly higher C/Ns than did normal algorithm images (P < .001), an d they demonstrated longer coronary artery lumina (P < .01). Conclusion. Collimation width, FOV, reconstruction kernels, and algorithms are important in the processing of high-quality electron-beam coronary angi ograms. A 1.5-mm collimation width, 12.7-cm FOV, cone-beam reconstruction a lgorithm, and very sharp kernels should help in obtaining the best image qu ality and depicting the longest segments of coronary artery lumen.