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Proceedings Paper

Feature-based non-rigid volume registration of serial coronary CT angiography
Author(s): Jonghye Woo; Byung-Woo Hong; Damini Dey; Victor Cheng; Amit Ramesh; Ganesh Sundaramoorthi; C.-C. Jay Kuo; Daniel S. Berman; Guido Germano; Piotr J. Slomka
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Paper Abstract

Coronary CT angiography (CTA) with multi-slice helical scanners is becoming the integral part of major diagnostic pathways for coronary artery disease. In addition, coronary CTA has demonstrated substantial potential in quantitative coronary plaque characterization. If serial comparisons of plaque progression or regression are to be made, accurate 3D volume registration of these volumes would be particularly useful. In this work, we propose a coronary CTA volume registration of the paired coronary CTA scans using feature-based non-rigid volume registration. We achieve this with a combined registration strategy, which uses the global rigid registration as an initialization, followed by local registration using non-rigid volume registration with a volume preserving constraint. We exploit the extracted coronary trees to help localize and emphasize the region of interest as unnecessary regions hinder registration process, which results in wrong registration result. The extracted binary masks of each coronary tree may not be the same due to initial segmentation errors, which could lead to subsequent bias in the registration process. Therefore we utilize a blur mask which is generated by convolving the Gaussian function with the binary coronary tree mask to include the neighboring vessel region into account. A volume preserving constraint is imposed so that the total volume of the binary mask before and after co-registration remains constant. To validate the proposed method, we perform experiments with data from 3 patients with available serial CT scans (6 scans in total) and measure the distance of anatomical landmarks between the registered serial scans of the same patient.

Paper Details

Date Published: 27 March 2009
PDF: 8 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72590R (27 March 2009); doi: 10.1117/12.814146
Show Author Affiliations
Jonghye Woo, Univ. of Southern California (United States)
Byung-Woo Hong, Chung-Ang Univ. (Korea, Republic of)
Damini Dey, Cedars-Sinai Medical Ctr. (United States)
Victor Cheng, Cedars-Sinai Medical Ctr. (United States)
Amit Ramesh, Cedars-Sinai Medical Ctr. (United States)
Ganesh Sundaramoorthi, Univ. of California, Los Angeles (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)
Daniel S. Berman, Cedars-Sinai Medical Ctr. (United States)
Guido Germano, Cedars-Sinai Medical Ctr. (United States)
Piotr J. Slomka, Cedars-Sinai Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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