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Ventricular shape visualization using selective volume rendering of cardiac datasets

Title
Ventricular shape visualization using selective volume rendering of cardiac datasets
Authors
Hong H.Grosskopf S.Kim M.-H.
Ewha Authors
김명희
SCOPUS Author ID
김명희scopus
Issue Date
2001
Journal Title
Computers in Biology and Medicine
ISSN
0010-4825JCR Link
Citation
vol. 31, no. 6, pp. 481 - 498
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
In this paper, we present a novel technique of improving volume rendering quality and speed by integrating original volume data and global model information attained by segmentation. The segmentation information prevents object occlusions that may appear when volume rendering is based on local image features only. Thus the presented visualization technique provides meaningful visual results that enable a clear understanding of complex anatomical structures. In the first part, we describe a segmentation technique for extracting the region of interest based on an active contour model. In the second part, we propose a volume rendering method for visualizing the selected portions of fuzzy surfaces extracted by local image processing methods. We show the results of selective volume rendering of left and right ventricle based on cardiac datasets from clinical routines. Our method offers an accelerated technique to accurately visualize the surfaces of segmented objects. © 2001 Elsevier Science Ltd. All rights reserved.
DOI
10.1016/S0010-4825(01)00021-X
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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