• DocumentCode
    3320930
  • Title

    MRI-based diagnostic system for early detection of prostate cancer

  • Author

    Firjani, Ahmad ; Elmaghraby, Adel ; El-Baz, Ayman

  • Author_Institution
    Dept. of Comput. Eng. & Comput. Sci., Univ. of Louisville, Louisville, KY, USA
  • fYear
    2013
  • fDate
    21-23 May 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    MR image-based modalities, such as T2-weighted MR, Diffusion-weighted (DWI), and dynamic contrast-enhanced imaging (DCE-MRI) have been widely employed for early detection of prostate cancer in vivo. In this paper, we evaluate the diagnostic ability of diffusion weighted imaging (DWI) and dynamic contrast-enhanced imaging (DCE-MRI) for the detection of prostate cancer at early stage. This study included 28 patients (17 malignant and 11 benign) with biopsy proven prostate cancer. The diagnostic performance was calculated for DCE-MRI and DWI. Both DWI and DCE-MRI demonstrate 100% classification accuracy. These preliminary diagnostic results show the promise of using DWI as a supplement of DCE-MRI for early diagnosis of prostate cancer.
  • Keywords
    biomedical MRI; cancer; image classification; image enhancement; medical image processing; patient diagnosis; DCE-MRI; DWI; MR image-based modalities; MRI-based diagnostic system; T2-weighted MR; biopsy; classification accuracy; diffusion-weighted imaging; dynamic contrast-enhanced imaging; early prostate cancer detection; Biopsy; Image segmentation; Magnetic resonance imaging; Prostate cancer; Tumors; DCE-MRI; DWI; Gibbs random field; Prostate cancer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Sciences and Engineering Conference (BSEC), 2013
  • Conference_Location
    Oak Ridge, TN
  • Print_ISBN
    978-1-4799-2118-8
  • Type

    conf

  • DOI
    10.1109/BSEC.2013.6618490
  • Filename
    6618490