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A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

Prostate segmentation is a challenging task, and the challenges significantly differ from one imaging modality to another. Low contrast, speckle, micro-calcifications and imaging artifacts like shadow poses serious challenges to accurate prostate segmentation in transrectal ultrasound (TRUS) images. However in magnetic resonance (MR) images, superior soft tissue contrast highlights large variability in shape, size and texture information inside the prostate. In contrast poor soft tissue contrast between prostate and surrounding tissues in computed tomography (CT) images pose a challenge in accurate prostate segmentation. This article reviews the methods developed for prostate gland segmentation TRUS, MR and CT images, the three primary imaging modalities that aids prostate cancer diagnosis and treatment. The objective of this work is to study the key similarities and differences among the different methods, highlighting their strengths and weaknesses in order to assist in the choice of an appropriate segmentation methodology. We define a new taxonomy for prostate segmentation strategies that allows first to group the algorithms and then to point out the main advantages and drawbacks of each strategy. We provide a comprehensive description of the existing methods in all TRUS, MR and CT modalities, highlighting their key-points and features. Finally, a discussion on choosing the most appropriate segmentation strategy for a given imaging modality is provided. A quantitative comparison of the results as reported in literature is also presented

This research has been funded by VALTEC 08-1-0039 of Generalitat de Catalunya, Spain and Conseil Regional de Bourgogne, France. The research is partially funded by Spanish Science and Innovation grant no. TIN2011-23704

Elsevier

Manager: Ministerio de Ciencia e Innovación (Espanya)
Author: Ghose, Soumya
Oliver i Malagelada, Arnau
Martí Marly, Robert
Lladó Bardera, Xavier
Vilanova, Joan Carles
Freixenet i Bosch, Jordi
Mitra, Jhimli
Sidibé, Désiré
Meriaudeau, Fabrice
Date: 2012 October
Abstract: Prostate segmentation is a challenging task, and the challenges significantly differ from one imaging modality to another. Low contrast, speckle, micro-calcifications and imaging artifacts like shadow poses serious challenges to accurate prostate segmentation in transrectal ultrasound (TRUS) images. However in magnetic resonance (MR) images, superior soft tissue contrast highlights large variability in shape, size and texture information inside the prostate. In contrast poor soft tissue contrast between prostate and surrounding tissues in computed tomography (CT) images pose a challenge in accurate prostate segmentation. This article reviews the methods developed for prostate gland segmentation TRUS, MR and CT images, the three primary imaging modalities that aids prostate cancer diagnosis and treatment. The objective of this work is to study the key similarities and differences among the different methods, highlighting their strengths and weaknesses in order to assist in the choice of an appropriate segmentation methodology. We define a new taxonomy for prostate segmentation strategies that allows first to group the algorithms and then to point out the main advantages and drawbacks of each strategy. We provide a comprehensive description of the existing methods in all TRUS, MR and CT modalities, highlighting their key-points and features. Finally, a discussion on choosing the most appropriate segmentation strategy for a given imaging modality is provided. A quantitative comparison of the results as reported in literature is also presented
This research has been funded by VALTEC 08-1-0039 of Generalitat de Catalunya, Spain and Conseil Regional de Bourgogne, France. The research is partially funded by Spanish Science and Innovation grant no. TIN2011-23704
Format: application/pdf
Document access: http://hdl.handle.net/10256/11348
Language: eng
Publisher: Elsevier
Collection: info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cmpb.2012.04.006
info:eu-repo/semantics/altIdentifier/issn/0169-2607
info:eu-repo/semantics/altIdentifier/eissn/1872-7565
info:eu-repo/grantAgreement/MICINN//TIN2011-23704/ES/M3CAD. MULTI-MODALITY AND MULTI-VIEW MAMMOGRAPHIC COMPUTER AIDED DIAGNOSIS SYSTEM/
Rights: Tots els drets reservats
Subject: Pròstata -- Càncer -- Diagnòstic
Prostate -- Cancer-- Diagnosis
Pròstata -- Càncer -- Imatges
Prostate -- Cancer -- Imaging
Imatgeria mèdica
Imaging systems in medicine
Title: A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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