Estimating Myocardial Motion by 4D Image Warping

Overview

Journal Pattern Recognit

Publisher Elsevier

Date 2010 Apr 10

PMID 20379351

Citations 11

Authors

Hari Sundar

Harold Litt

Dinggang Shen

Affiliations

Soon will be listed here.

Abstract

A method for spatio-temporally smooth and consistent estimation of cardiac motion from MR cine sequences is proposed. Myocardial motion is estimated within a 4-dimensional (4D) registration framework, in which all 3D images obtained at different cardiac phases are simultaneously registered. This facilitates spatio-temporally consistent estimation of motion as opposed to other registration-based algorithms which estimate the motion by sequentially registering one frame to another. To facilitate image matching, an attribute vector (AV) is constructed for each point in the image, and is intended to serve as a "morphological signature" of that point. The AV includes intensity, boundary, and geometric moment invariants (GMIs). Hierarchical registration of two image sequences is achieved by using the most distinctive points for initial registration of two sequences and gradually adding less-distinctive points to refine the registration. Experimental results on real data demonstrate good performance of the proposed method for cardiac image registration and motion estimation. The motion estimation is validated via comparisons with motion estimates obtained from MR images with myocardial tagging.

Citing Articles

Cardiac motion estimation from medical images: a regularisation framework applied on pairwise image registration displacement fields.

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Computing group cardinality constraint solutions for logistic regression problems.

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Dictionary-Driven Ischemia Detection From Cardiac Phase-Resolved Myocardial BOLD MRI at Rest.

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