A joint project of the Graduate School, Peabody College, and the Jean & Alexander Heard Library

Title page for ETD etd-03272008-153047


Type of Document Dissertation
Author Ou, Jao Jih
URN etd-03272008-153047
Title Development of Modality-Independent Elastography as a Method of Breast Cancer Detection
Degree PhD
Department Biomedical Engineering
Advisory Committee
Advisor Name Title
Michael I. Miga Committee Chair
Benoit M. Dawant Committee Member
Mark C. Kelley Committee Member
Robert L. Galloway, Jr Committee Member
Thomas E. Yankeelov Committee Member
Keywords
  • elastography
  • image registration
  • finite-element modeling
  • image processing
  • breast tumor
  • Breast -- Imaging
  • Breast -- Cancer -- Diagnosis
  • Elasticity
  • Tissues -- Mechanical properties
Date of Defense 2007-12-17
Availability unrestricted
Abstract
Early detection of breast lesions with malignant potential plays an important role in patient prognosis and survival. While X-ray mammography is the current clinical standard for screening and detection, traditional techniques such as palpation in the physical exam still play an important diagnostic role, and additional alternative means are actively being sought for the identification of suspicious lesions. This work has been focused on the development of a novel method termed ‘modality-independent elastography’ (MIE) for the purpose of quantitatively extracting the material properties of tissue. This is quite relevant in the context of breast cancer, as solid tumors are typically stiffer than the surrounding unremarkable normal tissue. MIE performs an iterative non-rigid, model-constrained image registration analysis of a tissue under differing states of mechanical loading to produce a spatial mapping of elastic modulus values, which can be then used to characterize and/or localize a lesion. Simulation and phantom experiments were performed for two- and three-dimensional systems with a variety of image data acquired from CT, MR, and digital photography. Additional work produced a clinically compatible proof-of-concept system that is suitable for undergoing further refinement in preparation for initial human trials. Preliminary results have been encouraging and hold promise for the use of MIE in detection and characterization of abnormal stiffness within the breast.
Files
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  Dissertation_jao_v6e3.pdf 4.34 Mb 00:20:06 00:10:20 00:09:02 00:04:31 00:00:23

Browse All Available ETDs by ( Author | Department )

If you have more questions or technical problems, please Contact LITS.