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Proceedings Paper

Subzone-based nonlinear inversion scheme for viscoelastic tissue properties
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Paper Abstract

A nonlinear inversion scheme formulated on small subzones of the total region of interest (ROI) is developed. The algorithm reconstructs the distribution of a linear elastic stiffness term and a Maxwellian damping parameter over the entire ROI through a least squares optimization. The subzones are generated in a hierarchical manner based on progressive error minimization and processed in an automated, sweeping fashion until certain performance criterion are met. Simulation results show that the algorithm works well to minimize global error and is capable of simultaneously reconstructing both property parameter distributions even in the presence of random noise, although initial experience suggests that the elastic property image is superior to its attenuation coefficient counterpart.

Paper Details

Date Published: 6 June 2000
PDF: 8 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387716
Show Author Affiliations
Elijah E. W. Van Houten, Dartmouth College (United States)
Keith D. Paulsen, Dartmouth College, Dartmouth Hitchcock Medical Ctr., and Norris Cotton Cancer Ctr. (United States)
Michael I. Miga, Dartmouth College (United States)
Francis E. Kennedy, Dartmouth College (United States)
John B. Weaver, Dartmouth College and Dartmouth Hitchock Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

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