Automatic heart isolation for CT coronary visualization using graph-cuts

We describe a means to automatically and efficiently isolate the outer surface of the entire heart in computer tomography (CT) cardiac scans. Isolating the entire heart allows the coronary vessels on the surface of the heart to be easily visualized despite the proximity of surrounding organs such as...

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Hauptverfasser:	Funka-Lea, G., Boykov, Y., Florin, C., Jolly, M.-P., Moreau-Gobard, R., Ramaraj, R., Rinck, D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Arteries Biomedical imaging Blood vessels Bones Computed tomography Heart Image segmentation Muscles Ribs Visualization
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creator	Funka-Lea, G. Boykov, Y. Florin, C. Jolly, M.-P. Moreau-Gobard, R. Ramaraj, R. Rinck, D.
description	We describe a means to automatically and efficiently isolate the outer surface of the entire heart in computer tomography (CT) cardiac scans. Isolating the entire heart allows the coronary vessels on the surface of the heart to be easily visualized despite the proximity of surrounding organs such as the ribs and pulmonary blood vessels. Numerous techniques have been described for segmenting the left ventricle of the heart in images from various types of medical scanners but rarely has the entire heart been segmented. We make use of graph-cuts to do the segmentation and introduce a novel means of initiating and constraining the graph-cut technique for heart isolation. The technique has been tested on 70 patient data sets. Results are compares with hand labeled results
doi_str_mv	10.1109/ISBI.2006.1624991
format	Conference Proceeding
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identifier	ISSN: 1945-7928
ispartof	2006 3rd IEEE International Symposium on Biomedical Imaging--Macro to Nano : Arlington, WA, 6-9 April 2006, 2006, Vol.3, p.614-617
issn	1945-7928 1945-8452
language	eng
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Arteries Biomedical imaging Blood vessels Bones Computed tomography Heart Image segmentation Muscles Ribs Visualization
title	Automatic heart isolation for CT coronary visualization using graph-cuts
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