Meeting Banner
Abstract #1656

Denoising and Multi-Compartment Visualization of Multi-b-Valued Breast Diffusion MRI

Ek Tsoon Tan1, Lisa J Wilmes2, Nola Hylton2, Thomas L Chenevert3, and David C Newitt2

1GE Global Research, Niskayuna, NY, United States, 2Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States, 3Department of Radiology, University of Michigan, Ann Arbor, MI, United States

Multi-b-valued diffusion-weighted imaging (DWI) of the breast is highly susceptible to image and fitting noise. A multi-compartment approach was developed to denoise multi-b-value breast DWI without spatial smoothing. In human subject exams (N=12), the denoising approach resulted in a significant reduction in variability of all perfusion and diffusion maps in breast tumor and normal fibroglandular tissue with minimal bias to the mean values, and increased statistical separation of diffusivity metrics between tumor and normal tissue. The denoising algorithm provides compartment fractions for tumor, tissue, and vascularity, which may improve visualization of tissue compartments in DWI.

This abstract and the presentation materials are available to members only; a login is required.

Join Here