Detecting Breast Cancer using a Compressive Sensing Unmixing Algorithm

10/28/2016
by   Richard Obermeier, et al.
0

Traditional breast cancer imaging methods using microwave Nearfield Radar Imaging (NRI) seek to recover the complex permittivity of the tissues at each voxel in the imaging region. This approach is suboptimal, in that it does not directly consider the permittivity values that healthy and cancerous breast tissues typically have. In this paper, we describe a novel unmixing algorithm for detecting breast cancer. In this approach, the breast tissue is separated into three components, low water content (LWC), high water content (HWC), and cancerous tissues, and the goal of the optimization procedure is to recover the mixture proportions for each component. By utilizing this approach in a hybrid DBT / NRI system, the unmixing reconstruction process can be posed as a sparse recovery problem, such that compressive sensing (CS) techniques can be employed. A numerical analysis is performed, which demonstrates that cancerous lesions can be detected from their mixture proportion under the appropriate conditions.

READ FULL TEXT

page 5

page 6

page 7

research
01/15/2018

Circular Antenna Array Design for Breast Cancer Detection

Microwave imaging for breast cancer detection is based on the contrast i...
research
12/05/2016

Cancerous Nuclei Detection and Scoring in Breast Cancer Histopathological Images

Early detection and prognosis of breast cancer are feasible by utilizing...
research
02/24/2017

Microwave breast cancer detection using Empirical Mode Decomposition features

Microwave-based breast cancer detection has been proposed as a complemen...
research
07/23/2013

Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis

Digital Breast Tomosynthesis (DBT) provides an insight into the fine det...
research
05/14/2023

Binary and Re-search Signal Region Detection in High Dimensions

Signal region detection is one of the challenging problems in modern sta...
research
04/20/2021

Using a rank-based design in estimating prevalence of breast cancer

It is highly important for governments and health organizations to monit...

Please sign up or login with your details

Forgot password? Click here to reset