Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response

Xia Li, Benoit M. Dawant, E. Brian Welch, A. Bapsi Chakravarthy, Darla Freehardt, Ingrid Mayer, Mark Kelley, Ingrid Meszoely, John C. Gore, Thomas Yankeelov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2009 - Image Processing
DOIs
StatePublished - Dec 15 2009
EventMedical Imaging 2009 - Image Processing - Lake Buena Vista, FL, United States
Duration: Feb 8 2009Feb 10 2009

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7259
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2009 - Image Processing
CountryUnited States
CityLake Buena Vista, FL
Period2/8/092/10/09

Fingerprint

breast
Tumors
Breast
tumors
Breast Neoplasms
Ultrasonography
Mammography
registers
Tumor Burden
Cost functions
Magnetic resonance imaging
preserving
therapy
Neoplasms
cancer
costs
Imaging techniques
Costs and Cost Analysis

Keywords

  • Breast cancer
  • DCE-MRI
  • Image registration
  • Neoadjuvant chemotherapy
  • Treatment monitoring

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Li, X., Dawant, B. M., Welch, E. B., Chakravarthy, A. B., Freehardt, D., Mayer, I., ... Yankeelov, T. (2009). Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response. In Medical Imaging 2009 - Image Processing [72590Q] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7259). https://doi.org/10.1117/12.811216

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

Medical Imaging 2009 - Image Processing. 2009. 72590Q (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7259).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, X, Dawant, BM, Welch, EB, Chakravarthy, AB, Freehardt, D, Mayer, I, Kelley, M, Meszoely, I, Gore, JC & Yankeelov, T 2009, Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response. in Medical Imaging 2009 - Image Processing., 72590Q, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 7259, Medical Imaging 2009 - Image Processing, Lake Buena Vista, FL, United States, 2/8/09. https://doi.org/10.1117/12.811216
Li X, Dawant BM, Welch EB, Chakravarthy AB, Freehardt D, Mayer I et al. Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response. In Medical Imaging 2009 - Image Processing. 2009. 72590Q. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.811216
Li, Xia ; Dawant, Benoit M. ; Welch, E. Brian ; Chakravarthy, A. Bapsi ; Freehardt, Darla ; Mayer, Ingrid ; Kelley, Mark ; Meszoely, Ingrid ; Gore, John C. ; Yankeelov, Thomas. / Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response. Medical Imaging 2009 - Image Processing. 2009. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
@inproceedings{230ac36341c74cceb941b7b478f1e85f,
title = "Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response",
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.",
keywords = "Breast cancer, DCE-MRI, Image registration, Neoadjuvant chemotherapy, Treatment monitoring",
author = "Xia Li and Dawant, {Benoit M.} and Welch, {E. Brian} and Chakravarthy, {A. Bapsi} and Darla Freehardt and Ingrid Mayer and Mark Kelley and Ingrid Meszoely and Gore, {John C.} and Thomas Yankeelov",
year = "2009",
month = "12",
day = "15",
doi = "10.1117/12.811216",
language = "English (US)",
isbn = "9780819475107",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2009 - Image Processing",

}

TY - GEN

T1 - Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response

AU - Li, Xia

AU - Dawant, Benoit M.

AU - Welch, E. Brian

AU - Chakravarthy, A. Bapsi

AU - Freehardt, Darla

AU - Mayer, Ingrid

AU - Kelley, Mark

AU - Meszoely, Ingrid

AU - Gore, John C.

AU - Yankeelov, Thomas

PY - 2009/12/15

Y1 - 2009/12/15

N2 - 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.

AB - 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.

KW - Breast cancer

KW - DCE-MRI

KW - Image registration

KW - Neoadjuvant chemotherapy

KW - Treatment monitoring

UR - http://www.scopus.com/inward/record.url?scp=71649101792&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=71649101792&partnerID=8YFLogxK

U2 - 10.1117/12.811216

DO - 10.1117/12.811216

M3 - Conference contribution

AN - SCOPUS:71649101792

SN - 9780819475107

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2009 - Image Processing

ER -