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Proceedings Paper

Modulus reconstruction from prostate ultrasound images using finite element modeling
Author(s): Zhennan Yan; Shaoting Zhang; S. Kaisar Alam; Dimitris N. Metaxas; Brian S. Garra; Ernest J. Feleppa
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Paper Abstract

In medical diagnosis, use of elastography is becoming increasingly more useful. However, treatments usually assume a planar compression applied to tissue surfaces and measure the deformation. The stress distribution is relatively uniform close to the surface when using a large, flat compressor but it diverges gradually along tissue depth. Generally in prostate elastography, the transrectal probes used for scanning and compression are cylindrical side-fire or rounded end-fire probes, and the force is applied through the rectal wall. These make it very difficult to detect cancer in prostate, since the rounded contact surfaces exaggerate the non-uniformity of the applied stress, especially for the distal, anterior prostate. We have developed a preliminary 2D Finite Element Model (FEM) to simulate prostate deformation in elastography. The model includes a homogeneous prostate with a stiffer tumor in the proximal, posterior region of the gland. A force is applied to the rectal wall to deform the prostate, strain and stress distributions can be computed from the resultant displacements. Then, we assume the displacements as boundary condition and reconstruct the modulus distribution (inverse problem) using linear perturbation method. FEM simulation shows that strain and strain contrast (of the lesion) decrease very rapidly with increasing depth and lateral distance. Therefore, lesions would not be clearly visible if located far away from the probe. However, the reconstructed modulus image can better depict relatively stiff lesion wherever the lesion is located.

Paper Details

Date Published: 24 February 2012
PDF: 8 pages
Proc. SPIE 8320, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, 832016 (24 February 2012); doi: 10.1117/12.911088
Show Author Affiliations
Zhennan Yan, Rutgers, The State Univ. of New Jersey (United States)
Shaoting Zhang, Rutgers, The State Univ. of New Jersey (United States)
S. Kaisar Alam, Riverside Research (United States)
Dimitris N. Metaxas, Rutgers, The State Univ. of New Jersey (United States)
Brian S. Garra, U.S. Food and Drug Administration (United States)
Ernest J. Feleppa, Riverside Research (United States)


Published in SPIE Proceedings Vol. 8320:
Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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