Clinical usefulness of automatic phase selection in coronary CT angiography (CTA)

2007 ◽  
Author(s):  
Takamasa Ota ◽  
Ilmar Hein ◽  
Miwa Okumura ◽  
Hirofumi Anno ◽  
Kazuhiro Katada
Keyword(s):  
Ct Angiography ◽  
Coronary Ct Angiography ◽  
Clinical Usefulness ◽  
Phase Selection ◽  
Coronary Ct ◽  
Automatic Phase

Coronary CT angiography: automatic cardiac-phase selection for image reconstruction

2009 ◽  
Vol 19 (8) ◽  
pp. 1906-1913 ◽  
Author(s):  
Balazs Ruzsics ◽  
Mulugeta Gebregziabher ◽  
Heon Lee ◽  
Robin L. Brothers ◽  
Thomas Allmendinger ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Ct Angiography ◽  
Coronary Ct Angiography ◽  
Cardiac Phase ◽  
Phase Selection ◽  
Coronary Ct ◽  
Selection For

scholarly journals Image quality of automatic coronary CT angiography reconstruction for patients with HR ≥ 75 bpm using an AI-assisted 16-cm z-coverage CT scanner

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Cheng Yan ◽  
Guofeng Zhou ◽  
Xue Yang ◽  
Xiuliang Lu ◽  
Mengsu Zeng ◽  
...  
Keyword(s):  
Image Quality ◽  
Ct Angiography ◽  
Motion Correction ◽  
Coronary Ct Angiography ◽  
Average Score ◽  
Ct Scanner ◽  
Phase Selection ◽  
Coronary Ct ◽  
Coronary Artery Segment

Abstract Background Coronary CT angiography (CCTA) is a complicated CT exam in comparison to other CT protocols. Exam success highly depends on image assessment of experienced radiologist and the procedure is often time-consuming. This study aims to evaluate feasibility of automatic CCTA reconstruction in 0.25 s rotation time, 16 cm coverage CT scanner with best phase selection and AI-assisted motion correction. Methods CCTA exams of 90 patients with heart rates higher than 75 bpm were included in this study. Two image series were reconstructed—one at automatically selected phase and another with additional motion correction. All reconstructions were performed without manual interaction of radiologist. A four-point Likert scale rating system was used to evaluate the image quality of coronary artery segment by two experienced radiologists, according to the 18-segment model. Analysis was done on per-segment basis. Results Total 1194 out of the 1620 segments were identified for quality evaluation in 90 patients. After automatic best phase selection, 1172 segments (98.3%) were rated as having diagnostic image quality (scores 2–4) and the average score is 3.64 ± 0.55. When motion corrections were applied, diagnostic segment number increases to 1192 (99.8%) and the average score is 3.85 ± 0.37. Conclusions With the help of 0.25 s rotation speed, 16-cm z-coverage and AI-assisted motion correction algorithm, CCTA exam reconstruction could be performed with minimum radiologist involvement and still meet image quality requirement.

Clinical relevance of myocardial bridging detected by coronary CT angiography in patients with atypical chest pain

2019 ◽  
Vol 67 (1) ◽  
Author(s):  
Ludovico La Grutta ◽  
Roberto Malagò ◽  
Patrizia Toia ◽  
Giulia Tabacco ◽  
Tommaso Smeraldi ◽  
...  
Keyword(s):  
Chest Pain ◽  
Ct Angiography ◽  
Clinical Relevance ◽  
Coronary Ct Angiography ◽  
Myocardial Bridging ◽  
Atypical Chest Pain ◽  
Coronary Ct
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