A new 3D automatic segmentation framework for accurate extraction of prostate from diffusion imaging

A. Firjani, A. Elnakib, F. Khalifa, G. Gimel'Farb, M. Abo El-Ghar, A. Elmaghraby, A. El-Baz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Prostate segmentation is an essential step in developing any non-invasive Computer-Assisted Diagnostic (CAD) system for the early diagnosis of prostate cancer using Magnetic Resonance Images (MRI). In this paper, a novel framework for 3D segmentation of the prostate region from Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) is proposed. The framework is based on a Maximum the Posteriori (MAP) estimate of a new log-likelihood function that consists of three descriptors: (i) 1st-order visual appearance descriptors of the Diffusion-MRI, (ii) a 3D spatially rotation-variant 2nd-order homogeneity descriptor, and (iii) a 3D prostate shape descriptor. The shape prior is learned from the co-aligned 3D segmented prostate Diffusion-MRI data. The visual appearances of the object and its background are described with marginal gray-level distributions obtained by separating their mixture over prostate data. The spatial interactions between the prostate voxels are modeled by a 3D 2nd-order rotation-variant Markov-Gibbs Random Field (MGRF) of object/background labels with analytically estimated potentials. Experiments with real in vivo prostate Diffusion-MRI confirm the robustness and accuracy of the proposed approach.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 Biomedical Sciences and Engineering Conference
Subtitle of host publicationImage Informatics and Analytics in Biomedicine, BSEC 2011
DOIs
StatePublished - 2011
Event2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011 - Knoxville, TN, United States
Duration: Mar 15 2011Mar 17 2011

Publication series

NameProceedings of the 2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011

Conference

Conference2011 Biomedical Sciences and Engineering Conference: Image Informatics and Analytics in Biomedicine, BSEC 2011
Country/TerritoryUnited States
CityKnoxville, TN
Period3/15/113/17/11

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Biomedical Engineering

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