Authors
Title
Breast Lesion Segmentation Using a 3D Active Contours Without Edges Approach with a GPGPU Implementation
Abstract
Breast cancer is the second most frequently diagnosed type of cancer in women, just after skin cancer, and is the second leading cause of cancer deaths. Thanks to improvements in early detection and treatments, the death rates of breast cancer have been reduced considerably. This work describes a 3D breast lesion segmentation algorithm that can be used for preoperative staging, evaluation after chemotherapy, and screening of women at high risk of developing breast cancer. The segmentation algorithm is a 3D implementation of the Active Contours Without Edges (ACWE) method, introduced by Chan and Vese [2001]. The proposed algorithm uses the General-Purpose Computing on Graphics Processing Units (GPGPU’s) to accelerate the original model by parallelizing two main steps of the segmentation process, the computation of the Signed Distance Function (SDF) and the evolution of the segmented curve. The segmentation process is visualized in real time with a graphical user interface (GUI) developed with Qt and OpenGL.
