Early Diagnosis and Staging of Prostate Cancer Using Magnetic Resonance Imaging: State of the Art and Perspectives

Document Type

Book Chapter

Source of Publication

Prostate Cancer Imaging: An Engineering and Clinical Perspective

Publication Date

11-8-2018

Abstract

Prostate cancer is the second most common cancer among men in the United States after skin cancer. Although it can be a serious disease, early diagnosis of prostate cancer can significantly prevent the growth of cancerous cells. The feature extraction is the process of defining and deriving from the prostate region computational entities that form a sort of prostate cancer signature. Full computer-aided diagnosis (CAD) systems presented in several studies have reported the use of engineered features obtained from multimodal magnetic resonance imaging (MRI) to detect prostate cancer. Similar to other medical imaging CAD systems, the computer-aided diagnosis of prostate cancer using MRI framework encompasses four stages, namely: pre-processing, prostate region extraction, features extraction, and classification. Identifying the region of interest in the MR images is essential to reduce the complexity of the next stages and enhance the performance of the overall CAD system.

ISBN

9780429434334

Publisher

CRC Press

First Page

165

Last Page

188

Disciplines

Medicine and Health Sciences

Indexed in Scopus

no

Open Access

no

Link to Full Text

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