Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications

Lizhi Liu, Zhiqiang Tian, Zhenfeng Zhang, Baowei Fei

Research output: Contribution to journalReview articlepeer-review

28 Scopus citations

Abstract

One in six men will develop prostate cancer in his lifetime. 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 multiparametric 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 magnetic resonance spectroscopy imaging. Because of 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. 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.

Original languageEnglish (US)
Pages (from-to)1024-1046
Number of pages23
JournalAcademic radiology
Volume23
Issue number8
DOIs
StatePublished - Aug 1 2016

Keywords

  • MR imaging
  • Prostate cancer
  • computer-aided detection
  • image quantification

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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