AUTOMATED MULTI-MODALITY REGISTRATION OF 64-SLICE CORONARY CT ANGIOGRAPHY WITH MYOCARDIAL PERFUSION SPECT

Overview

Journal Proc IEEE Int Symp Biomed Imaging

Publisher IEEE

Date 2013 Jan 4

PMID 23282407

Citations 2

Authors

Jonghye Woo

Piotr J Slomka

Damini Dey

Victor Cheng

Amit Ramesh

Byung-Woo Hong

C-C Jay Kuo

Daniel S Berman

Guido Germano

Affiliations

Soon will be listed here.

Abstract

A multi-modality image registration algorithm for the alignment of myocardial perfusion SPECT (MPS) and coronary computed tomography angiography (CTA) scans is presented in this work. Coronary CTA and MPS provides clinically complementary information in the diagnosis of coronary artery disease. An automated registration algorithm is proposed utilizing segmentation results of MPS volumes, where regions of myocardium and blood pools are extracted and used as an anatomical mask. Using a variational framework, we adopt an energy functional with a piecewise constant image model and optimize it numerically with a gradient descent algorithm. The computational efficiency and robustness of the proposed automatic registration of CTA with MPS have been demonstrated by the experiments that yielded an average error smaller than an MPS voxel size.

Citing Articles

Noninvasive and Invasive Assessments of the Functional Significance of Intermediate Coronary Artery Stenosis: Is This a Matter of Right or Wrong?.

Yongzhen F, Jeon K, Doh J, Koo B Pulse (Basel). 2015; 2(1-4):52-6.

PMID: 26587444 PMC: 4646134. DOI: 10.1159/000369837.

Geometric feature-based multimodal image registration of contrast-enhanced cardiac CT with gated myocardial perfusion SPECT.

Woo J, Slomka P, Dey D, Cheng V, Hong B, Ramesh A Med Phys. 2010; 36(12):5467-79.

PMID: 20095259 PMC: 4108676. DOI: 10.1118/1.3253301.

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