Point-tracked quantitative analysis of left ventricular surface motion from 3-D image sequences

Document Type

Article

Publication Date

1-1-2000

Abstract

We propose and validate the hypothesis that we can use differential shape properties of the myocardial surfaces to recover dense field motion from standard three-dimensional (3-D) image sequences (MRI and CT). Quantitative measures of left ventricular regional function can be further inferred from the point correspondence maps. The noninvasive, algorithm-derived results are validated on two levels. First, the motion trajectories are compared to those of implanted imaging-opaque markers of a canine model in two imaging modalities, where subpixel accuracy is achieved. Second, the validity of using motion parameters (path length and thickness changes) for detecting myocardial injury area is tested by comparing algorithms derived results to postmortem analysis TTC staining of myocardial tissue, where the achieved Pearson product-moment correlation value is 0.968.

Identifier

0033624946 (Scopus)

Publication Title

IEEE Transactions on Medical Imaging

External Full Text Location

https://doi.org/10.1109/42.832958

ISSN

02780062

PubMed ID

10782617

First Page

36

Last Page

50

Issue

1

Volume

19

This document is currently not available here.

Share

COinS