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
Link To Document :
بازگشت