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Proceedings Paper

Automated extraction of the LV from 3D cardiac ultrasound scans
Author(s): Edward A. Ashton; Daniel Phillips; Kevin J. Parker
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Paper Abstract

In this paper, a novel technique is presented for the extraction of features from 3D medical image sequences. This technique involves grayscale segmentation, followed by application of a 3D deformable model algorithm which smooths the data and compensates for drop-out regions in the segmentation. These properties are particularly desirable in the application studied here, which is the extraction of the left ventricle from a 3D ultrasound scan. THe algorithm is shown to produce a good reconstruction of the LV, as well as an accurate measurement of its volume.

Paper Details

Date Published: 27 February 1996
PDF: 7 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233258
Show Author Affiliations
Edward A. Ashton, Univ. of Rochester (United States)
Daniel Phillips, Univ. of Rochester (United States)
Kevin J. Parker, Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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