Paper
27 February 1996 Automated extraction of the LV from 3D cardiac ultrasound scans
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233258
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edward A. Ashton, Daniel Phillips, and Kevin J. Parker "Automated extraction of the LV from 3D cardiac ultrasound scans", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233258
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reconstruction algorithms

3D modeling

Feature extraction

Data modeling

3D metrology

Natural surfaces

Heart

Back to Top