Single-seeded coronary artery tracking in CT angiography Export

@proceedings{citeulike:4025139, abstract = {A new algorithm for rapid and accurate segmentation of the coronary arterial tree in CT angiography data sets is presented. Each artery is fully tracked from the aortic origin to its distal end, following a single touch by the user anywhere along the vessel. A two-level front propagation technique is applied for the tracking of each vessel. An initial bottom-hat filtering, an adaptive threshold and a heuristic credit system are incorporated to overcome the pitfalls characterizing the coronary environment like the adjacent veins, the proximate chambers and the changing gray level along the artery. The aortic origin and the distal end of each vessel are determined automatically based on specific stopping criteria. An additional seed placed at the aortic root is used to complete the extraction of the entire coronary tree for an overall examination. The algorithm used for the segmentation of the aortic root region is a planar front propagation based on watershed segmentation and an adaptive erosion technique that are needed to avoid leakage into the atria in cases of artifacts or poor image quality. The results of the proposed methodology were evaluated in 34 patients. Artery tracking was proved to be highly robust for images of medium and high quality.}, author = {Lavi, G. and Lessick, J. and Johnson, P. C. and Khullar, D.}, booktitle = {Nuclear Science Symposium Conference Record, 2004 IEEE}, citeulike-article-id = {4025139}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/NSSMIC.2004.1466397}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1466397}, doi = {10.1109/NSSMIC.2004.1466397}, journal = {Nuclear Science Symposium Conference Record, 2004 IEEE}, keywords = {artery, coronary, ct, seed, single, tracking}, pages = {3308--3311 Vol. 5}, posted-at = {2009-02-09 10:40:13}, priority = {3}, title = {Single-seeded coronary artery tracking in CT angiography}, url = {http://dx.doi.org/10.1109/NSSMIC.2004.1466397}, volume = {5}, year = {2004} }

TY - CONF ID - citeulike:4025139 L3 - citeulike-article-id:4025139 N2 - A new algorithm for rapid and accurate segmentation of the coronary arterial tree in CT angiography data sets is presented. Each artery is fully tracked from the aortic origin to its distal end, following a single touch by the user anywhere along the vessel. A two-level front propagation technique is applied for the tracking of each vessel. An initial bottom-hat filtering, an adaptive threshold and a heuristic credit system are incorporated to overcome the pitfalls characterizing the coronary environment like the adjacent veins, the proximate chambers and the changing gray level along the artery. The aortic origin and the distal end of each vessel are determined automatically based on specific stopping criteria. An additional seed placed at the aortic root is used to complete the extraction of the entire coronary tree for an overall examination. The algorithm used for the segmentation of the aortic root region is a planar front propagation based on watershed segmentation and an adaptive erosion technique that are needed to avoid leakage into the atria in cases of artifacts or poor image quality. The results of the proposed methodology were evaluated in 34 patients. Artery tracking was proved to be highly robust for images of medium and high quality. JF - Nuclear Science Symposium Conference Record, 2004 IEEE EP - 3311 Vol. 5 TI - Single-seeded coronary artery tracking in CT angiography VL - 5 T2 - Nuclear Science Symposium Conference Record, 2004 IEEE SP - 3308 KW - artery KW - coronary KW - ct KW - seed KW - single KW - tracking AU - Lavi, G AU - Lessick, J AU - Johnson, PC AU - Khullar, D PY - 2004/// UR - http://dx.doi.org/10.1109/NSSMIC.2004.1466397 ER -