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Proceedings Paper

Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response
Author(s): Xia Li; Benoit M. Dawant; E. Brian Welch; A. Bapsi Chakravarthy; Darla Freehardt; Ingrid Mayer; Mark Kelley; Ingrid Meszoely; John C. Gore; Thomas E. Yankeelov
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Paper Abstract

Although useful for the detection of breast cancers, conventional imaging methods, including mammography and ultrasonography, do not provide adequate information regarding response to therapy. Dynamic contrast enhanced MRI (DCE-MRI) has emerged as a promising technique to provide relevant information on tumor status. Consequently, accurate longitudinal registration of breast MR images is critical for the comparison of changes induced by treatment at the voxel level. In this study, a nonrigid registration algorithm is proposed to allow for longitudinal registration of breast MR images obtained throughout the course of treatment. We accomplish this by modifying the adaptive bases algorithm (ABA) through adding a tumor volume preserving constraint in the cost function. The registration results demonstrate the proposed algorithm can successfully register the longitudinal breast MR images and permit analysis of the parameter maps. We also propose a novel validation method to evaluate the proposed registration algorithm quantitatively. These validations also demonstrate that the proposed algorithm constrains tumor deformation well and performs better than the unconstrained ABA algorithm.

Paper Details

Date Published: 27 March 2009
PDF: 10 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72590Q (27 March 2009); doi: 10.1117/12.811216
Show Author Affiliations
Xia Li, Vanderbilt Univ. Institute of Imaging Science (United States)
Benoit M. Dawant, Vanderbilt Univ. (United States)
E. Brian Welch, Philips Healthcare Inc. (United States)
A. Bapsi Chakravarthy, Vanderbilt Univ. Medical Ctr. (United States)
Darla Freehardt, Vanderbilt Univ. Medical Ctr. (United States)
Ingrid Mayer, Vanderbilt Univ. Medical Ctr. (United States)
Mark Kelley, Vanderbilt Univ. Medical Ctr. (United States)
Ingrid Meszoely, Vanderbilt Univ. Medical Ctr. (United States)
John C. Gore, Vanderbilt Univ. Institute of Imaging Science (United States)
Thomas E. Yankeelov, Vanderbilt Univ. Institute of Imaging Science (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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