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Proceedings Paper

Sound speed based patient-specific biomechanical modeling for registration of USCT volumes with X-ray mammograms
Author(s): T. Hopp; A. Stromboni; N. Duric; M. Zapf; H. Gemmeke; N. V. Ruiter
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Paper Abstract

Ultrasound Computer Tomography is an upcoming imaging modality for early breast cancer detection. For evaluation of the method, comparison with the standard method X-ray mammography is of strongest interest. To overcome the significant differences in dimensionality and compression state of the breast, in earlier work a registration method based on biomechanical modeling of the breast was proposed. However only homogeneous models could be applied, i.e. inner structures of the breast were neglected. In this work we extend the biomechanical modeling of the breast by estimating patient-specific tissue parameters automatically from the speed of sound volume. Two heterogeneous models are proposed modeling a quadratic and an exponential relationship between speed of sound and tissue stiffness. The models were evaluated using phantom images and clinical data. The size of all lesions is better preserved using heterogeneous models, especially using an exponential relationship. The presented approach yields promising results and gives a physical justification to our registration method. It can be considered as a first step towards a realistic modeling of the breast.

Paper Details

Date Published: 29 March 2013
PDF: 10 pages
Proc. SPIE 8675, Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy, 86750L (29 March 2013); doi: 10.1117/12.2006726
Show Author Affiliations
T. Hopp, Karlsruher Institut für Technologie (Germany)
A. Stromboni, Karlsruher Institut für Technologie (Germany)
N. Duric, Karmanos Cancer Institute (United States)
M. Zapf, Karlsruher Institut für Technologie (Germany)
H. Gemmeke, Karlsruher Institut für Technologie (Germany)
N. V. Ruiter, Karlsruher Institut für Technologie (Germany)


Published in SPIE Proceedings Vol. 8675:
Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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