Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering

Xuejun Sun; Walker Land; Ravi Samala

doi:10.1117/12.697191

1 March 2007 Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering

Xuejun Sun, Walker Land, Ravi Samala

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65124P (2007) https://doi.org/10.1117/12.697191
Event: Medical Imaging, 2007, San Diego, CA, United States

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.

Citation Download Citation

Xuejun Sun, Walker Land, and Ravi Samala "Deblurring of tomosynthesis images using 3D anisotropic diffusion filtering", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65124P (1 March 2007); https://doi.org/10.1117/12.697191

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available