Segmentation and tracking of the left ventricle in cardiac MRI.
Published: 2006
Language: eng
Number of pages: 68
ISBN-13: 9780494211304
Description: In this work, we have presented a novel approach to the problem of segmentation and tracking of the left ventricle (LV). A set of radial lines are defined which meet at roughly the centre of the LV. Intersection of each line with the myocardium, surrounding the LV, is estimated in a recursive Bayesian framework using particle filters. The probability distribution of boundary estimates on each line is calculated based on the directional derivative of the given line initially. This probability density is coupled with the data from adjacent lines to yield a better estimate of the boundary positions in an iterative process.
Notes: Source: Masters Abstracts International, Volume: 45-03, page: 1601.

Advisor: James MacLean

Thesis (M.A.Sc.)--University of Toronto, 2006.

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