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Proceedings Paper

Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering
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Paper Abstract

Breast tomosynthesis is an emerging state-of-the-art three-dimensional (3D) imaging technology that demonstrates significant early promise in screening and diagnosing breast cancer. However, this kind of image has significant out-of-plane artifacts due to its limited tomography nature, which affects the image quality and further would interrupt interpretation. In this paper, we develop a robust deblurring method to remove or suppress blurry artifacts by applying three-dimensional (3D) nonlinear anisotropic diffusion filtering method. Differential equation of 3D anisotropic diffusion filtering is discretized using explicit and implicit numerical methods, respectively, combined by first (fixed grey value) and second (adiabatic) boundary conditions under ten nearest neighbor grids configuration of finite difference scheme. The discretized diffusion equation is applied in the breast volume reconstructed from the entire tomosynthetic images of breast. The proposed diffusion filtering method is evaluated qualitatively and quantitatively on clinical tomosynthesis images. Results indicate that the proposed diffusion filtering method is very powerful in suppressing the blurry artifacts, and the results also indicate that implicit numerical algorithm with fixed value boundary condition has better performance in enhancing the contrast of tomosynthesis image, demonstrating the effectiveness of the proposed filtering method in deblurring the out-of-plane artifacts.

Paper Details

Date Published: 1 March 2007
PDF: 11 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65124P (1 March 2007); doi: 10.1117/12.697191
Show Author Affiliations
Xuejun Sun, Univ. of South Florida (United States)
Walker Land, State Univ. of New York at Binghamton (United States)
Ravi Samala, Univ. of South Florida (United States)

Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

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