TY - GEN
T1 - A fully automated framework for segmentation and stenosis quantification of coronary arteries in 3D CTA imaging
AU - Wang, Yin
AU - Liatsis, Panos
PY - 2009
Y1 - 2009
N2 - In this paper, we present a novel framework to segment and quantify stenosed coronary arteries in 3D contrast enhanced computed tomography angiography (CTA). According to our knowledge, no commercially available software package permits fully automated detection and assessment of atherosclerotic stenosis. Therefore, in clinical practice, the radiologist has to make a detailed evaluation, segment by segment, which is obviously a tedious and time consuming task. In the proposed framework, the main branches of the coronary arteries are firstly extracted from the volume datasets by using a localized region-based level sets framework. Next, calcified voxels are removed by a post processing step. The centreline of the coronaries is extracted by mesh contraction algorithm. Finally, we compute the circularity and the convex hull deficiency of the cross sections at specific locations along the coronary arteries, which are then used to automatically detect and identify the presence of calcified stenosis.
AB - In this paper, we present a novel framework to segment and quantify stenosed coronary arteries in 3D contrast enhanced computed tomography angiography (CTA). According to our knowledge, no commercially available software package permits fully automated detection and assessment of atherosclerotic stenosis. Therefore, in clinical practice, the radiologist has to make a detailed evaluation, segment by segment, which is obviously a tedious and time consuming task. In the proposed framework, the main branches of the coronary arteries are firstly extracted from the volume datasets by using a localized region-based level sets framework. Next, calcified voxels are removed by a post processing step. The centreline of the coronaries is extracted by mesh contraction algorithm. Finally, we compute the circularity and the convex hull deficiency of the cross sections at specific locations along the coronary arteries, which are then used to automatically detect and identify the presence of calcified stenosis.
KW - Coronary artery
KW - CTA
KW - Level sets
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=77949638537&partnerID=8YFLogxK
U2 - 10.1109/DeSE.2009.13
DO - 10.1109/DeSE.2009.13
M3 - Conference contribution
AN - SCOPUS:77949638537
SN - 9780769539126
T3 - Proceedings - International Conference on Developments in eSystems Engineering, DeSE 2009
SP - 136
EP - 140
BT - Proceedings - International Conference on Developments in eSystems Engineering, DeSE 2009
T2 - International Conference on Developments in eSystems Engineering, DeSE 2009
Y2 - 14 December 2009 through 16 December 2009
ER -