Cerebral Arteries: Fully Automated Segmentation from CT Angiography--A Feasibility Study Export

@article{citeulike:3474391, abstract = {The purpose of this study was to retrospectively assess the feasibility of a fully automated image postprocessing tool for the segmentation of the arterial cerebrovasculature from computed tomographic (CT) angiography in 27 patients (nine men, 18 women; mean age, 55 years; age range, 33-76 years) with subarachnoid hemorrhage. The institutional review board approved this study, and informed consent was waived. The proposed method, which does not require the acquisition of an additional CT scan for bone suppression, consists of the following: (a) automatic detection of the main arteries for initialization, (b) segmentation of these arteries through the skull base, and (c) suppression of the large veins near the skull. The parameters of this method were optimized on the training subset of nine patients, and the method was successful at segmentation of the arteries in 15 (83\%) of the 18 remaining patients. The difference between automatic and manual diameter measurements was 0.0 mm {+/-} 0.4 (standard deviation). The study results showed that fully automated segmentation of the cerebral arteries is feasible. Supplemental material: http://radiology.rsnajnls.org/cgi/content/full/247/3/841/DC1 (C) RSNA, 2008 10.1148/radiol.2473070436}, author = {Manniesing, Rashindra and Viergever, Max A. and van der Lugt, Aad and Niessen, Wiro J.}, citeulike-article-id = {3474391}, citeulike-linkout-0 = {http://dx.doi.org/10.1148/radiol.2473070436}, citeulike-linkout-1 = {http://radiology.rsnajnls.org/cgi/content/abstract/247/3/841}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/18487538}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=18487538}, day = {1}, doi = {10.1148/radiol.2473070436}, journal = {Radiology}, month = {June}, number = {3}, pages = {841--846}, posted-at = {2008-11-03 10:01:07}, priority = {2}, title = {Cerebral Arteries: Fully Automated Segmentation from CT Angiography--A Feasibility Study}, url = {http://dx.doi.org/10.1148/radiol.2473070436}, volume = {247}, year = {2008} }

TY - JOUR ID - citeulike:3474391 L3 - citeulike-article-id:3474391 N2 - The purpose of this study was to retrospectively assess the feasibility of a fully automated image postprocessing tool for the segmentation of the arterial cerebrovasculature from computed tomographic (CT) angiography in 27 patients (nine men, 18 women; mean age, 55 years; age range, 33-76 years) with subarachnoid hemorrhage. The institutional review board approved this study, and informed consent was waived. The proposed method, which does not require the acquisition of an additional CT scan for bone suppression, consists of the following: (a) automatic detection of the main arteries for initialization, (b) segmentation of these arteries through the skull base, and (c) suppression of the large veins near the skull. The parameters of this method were optimized on the training subset of nine patients, and the method was successful at segmentation of the arteries in 15 (83%) of the 18 remaining patients. The difference between automatic and manual diameter measurements was 0.0 mm {+/-} 0.4 (standard deviation). The study results showed that fully automated segmentation of the cerebral arteries is feasible. Supplemental material: http://radiology.rsnajnls.org/cgi/content/full/247/3/841/DC1 (C) RSNA, 2008 10.1148/radiol.2473070436 IS - 3 JF - Radiology EP - 846 TI - Cerebral Arteries: Fully Automated Segmentation from CT Angiography--A Feasibility Study VL - 247 SP - 841 AU - Manniesing, Rashindra AU - Viergever, Max AU - van der Lugt, Aad AU - Niessen, Wiro PY - 2008/06/01/ UR - http://dx.doi.org/10.1148/radiol.2473070436 ER -