scholarly journals Coronary artery analysis: Computer-assisted selection of best-quality segments in multiple-phase coronary CT angiography

2016 ◽  
Vol 43 (10) ◽  
pp. 5268-5278 ◽  
Author(s):  
Chuan Zhou ◽  
Heang-Ping Chan ◽  
Lubomir M. Hadjiiski ◽  
Aamer Chughtai ◽  
Jun Wei ◽  
...  
Keyword(s):  
Coronary Artery ◽  
Ct Angiography ◽  
Coronary Ct Angiography ◽  
Computer Assisted ◽  
Coronary Ct ◽  
Multiple Phase ◽  
Analysis Computer ◽  
Selection Of

Automatic selection of best quality vessels from multiple-phase coronary CT angiography (cCTA)

2015 ◽  
Author(s):  
Jordan Liu ◽  
Lubomir Hadjiiski ◽  
Heang-Ping Chan ◽  
Chuan Zhou ◽  
Jun Wei ◽  
...  
Keyword(s):  
Ct Angiography ◽  
Coronary Ct Angiography ◽  
Coronary Ct ◽  
Multiple Phase ◽  
Automatic Selection ◽  
Selection Of

scholarly journals Best-Quality Vessel Identification Using Vessel Quality Measure in Multiple-Phase Coronary CT Angiography

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Lubomir Hadjiiski ◽  
Jordan Liu ◽  
Heang-Ping Chan ◽  
Chuan Zhou ◽  
Jun Wei ◽  
...  
Keyword(s):  
Ct Angiography ◽  
Coronary Ct Angiography ◽  
Quality Measure ◽  
Arterial Tree ◽  
Coronary Ct ◽  
Automated Method ◽  
Multiple Phase ◽  
Preference Study ◽  
Selection Of

The detection of stenotic plaques strongly depends on the quality of the coronary arterial tree imaged with coronary CT angiography (cCTA). However, it is time consuming for the radiologist to select the best-quality vessels from the multiple-phase cCTA for interpretation in clinical practice. We are developing an automated method for selection of the best-quality vessels from coronary arterial trees in multiple-phase cCTA to facilitate radiologist’s reading or computerized analysis. Our automated method consists of vessel segmentation, vessel registration, corresponding vessel branch matching, vessel quality measure (VQM) estimation, and automatic selection of best branches based on VQM. For every branch, the VQM was calculated as the average radial gradient. An observer preference study was conducted to visually compare the quality of the selected vessels. 167 corresponding branch pairs were evaluated by two radiologists. The agreement between the first radiologist and the automated selection was 76% with kappa of 0.49. The agreement between the second radiologist and the automated selection was also 76% with kappa of 0.45. The agreement between the two radiologists was 81% with kappa of 0.57. The observer preference study demonstrated the feasibility of the proposed automated method for the selection of the best-quality vessels from multiple cCTA phases.

Reproducibility of Noncalcified Coronary Artery Plaque Burden Quantification From Coronary CT Angiography Across Different Image Analysis Platforms

2014 ◽  
Vol 202 (1) ◽  
pp. W43-W49 ◽  
Author(s):  
Shane Oberoi ◽  
Felix G. Meinel ◽  
U. Joseph Schoepf ◽  
John W. Nance ◽  
Carlo N. De Cecco ◽  
...  
Keyword(s):  
Image Analysis ◽  
Coronary Artery ◽  
Ct Angiography ◽  
Coronary Ct Angiography ◽  
Plaque Burden ◽  
Coronary Artery Plaque ◽  
Coronary Ct

FRI0250 Coronary CT-Angiography Reveals the Extent of Coronary Artery Disease in Takayasu Arteritis

2015 ◽  
Vol 74 (Suppl 2) ◽  
pp. 515.1-515 ◽  
Author(s):  
E. Tombetti ◽  
R. Khamis ◽  
D. Gopalan ◽  
A. Kiprianos ◽  
B. Ariff ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Ct Angiography ◽  
Takayasu Arteritis ◽  
Coronary Ct Angiography ◽  
Coronary Ct ◽  
Artery Disease

Influence of hemodynamic parameters on coronary artery attenuation with 320-detector coronary CT angiography

2012 ◽  
Vol 81 (2) ◽  
pp. 230-233 ◽  
Author(s):  
Nobuo Tomizawa ◽  
Shuhei Komatsu ◽  
Masaaki Akahane ◽  
Rumiko Torigoe ◽  
Shigeru Kiryu ◽  
...  
Keyword(s):  
Coronary Artery ◽  
Ct Angiography ◽  
Coronary Ct Angiography ◽  
Hemodynamic Parameters ◽  
Coronary Ct
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