6533b827fe1ef96bd1286c0b

RESEARCH PRODUCT

Computer-Aided Diagnosis for Prostate Cancer using Multi-Parametric Magnetic Resonance Imaging

subject

description

Prostate cancer (CaP) is the second most diagnosed cancer in men all over the world.CaP growth is characterized by two main types of evolution: (i) the slow-growing tumours progress slowly and usually remain confined to the prostate gland; (ii) the fast-growing tumours metastasize from prostate gland to other organs, which might lead to incurable diseases.Therefore, early diagnosis and risk assessment play major roles in patient treatment and follow-up.In the last decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have been developed improving diagnosis.In practise, diagnosis can be affected by multiple factors such as observer variability and visibility and complexity of the lesions.In this regard, computer-aided detection and computer-aided diagnosis systems are being designed to help radiologists in their clinical practice.Our research extensively analyzes the current state-of-the-art in the development of computer-aided diagnosis and detection systems for prostate cancer detection.Currently, no computer-aided system using all available MRI modalities has been proposed and tested on a common dataset.Therefore, we propose a new computer-aided system taking advantage of all MRI modalities (i.e., T2W-MRI, DCE-MRI, DW MRI, MRSI).Particular attention is paid to the normalization of the MRI modalities prior to develop our computer-aided system.This system has been extensively tested on a dataset which has been made publicly available.