One in six men will develop prostate cancer in his life time. Early
detection and accurate diagnosis of the disease can improve cancer survival and
reduce treatment costs. Recently, imaging of prostate cancer has greatly
advanced since the introduction of multi-parametric magnetic resonance imaging
(mp-MRI). Mp-MRI consists of T2-weighted sequences combined with functional
sequences including dynamic contrast-enhanced MRI, diffusion-weighted MRI, and
MR spectroscopy imaging. Due to the big data and variations in imaging
sequences, detection can be affected by multiple factors such as observer
variability and visibility and complexity of the lesions. In order to improve
quantitative assessment of the disease, various computer-aided detection systems
have been designed to help radiologists in their clinical practice. This review
paper presents an overview of literatures on computer-aided detection of
prostate cancer with mp-MRI, which include the technology and its applications.
The aim of the survey is threefold: an introduction for those new to the field,
an overview for those working in the field, and a reference for those searching
for literature on a specific application.