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Proceedings Paper

Measurement and modeling of 4D live mouse heart volumes from CT time series
Author(s): Arthur W. Wetzel; Cristian T. Badea; Stuart M. Pomerantz; Nilesh Mistry; Démian Nave; G. Allan Johnson
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Paper Abstract

In vivo quantitative studies of cardiac function in mouse models provide information about cardiac pathophysiology in more detail than can be obtained in humans. Quantitative measurements of left ventricular (LV) volume at multiple contractile phases are particularly important. However, the mouse heart's small size and rapid motion present challenges for precise measurement in live animals. Researchers at Duke University's Center for In Vivo Microscopy (CIVM) have developed noninvasive time-gated microcomputed tomography (micro-CT) techniques providing the temporal and spatial resolutions required for in vivo characterization of cardiac structure and function. This paper describes analysis of the resulting reconstructions to produce volume measurements and corresponding models of heart motion. We believe these are the most precise noninvasive estimates of in vivo LV volume currently available. Our technique uses binary mixture models to directly recover volume estimates from reconstructed datasets. Unlike methods using segmentation followed by voxel counting, this approach provides statistical error estimates and maintains good precision at high noise levels. This is essential for long term multiple session experiments that must simultaneously minimize contrast agent and x-ray doses. The analysis tools are built into the Pittsburgh Supercomputing Center's Volume Browser (PSC-VB) that provides networked multi-site data sharing and collaboration including analysis and visualization functions.

Paper Details

Date Published: 29 January 2007
PDF: 14 pages
Proc. SPIE 6491, Videometrics IX, 64910J (29 January 2007); doi: 10.1117/12.704792
Show Author Affiliations
Arthur W. Wetzel, Pittsburgh Supercomputing Ctr. (United States)
Cristian T. Badea, Duke Univ. Medical Ctr. (United States)
Stuart M. Pomerantz, Pittsburgh Supercomputing Ctr. (United States)
Nilesh Mistry, Duke Univ. Medical Ctr. (United States)
Démian Nave, Pittsburgh Supercomputing Ctr. (United States)
G. Allan Johnson, Duke Univ. Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 6491:
Videometrics IX
J.-Angelo Beraldin; Fabio Remondino; Mark R. Shortis, Editor(s)

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