Iterative normalization method for improved prostate cancer localization with multispectral magnetic resonance imaging

Xin Liu; Imam Samil Yetik

doi:10.1117/1.JEI.21.2.023008

17 May 2012 Iterative normalization method for improved prostate cancer localization with multispectral magnetic resonance imaging

Xin Liu, Imam Samil Yetik

Author Affiliations +

Journal of Electronic Imaging, Vol. 21, Issue 2, 023008 (May 2012). https://doi.org/10.1117/1.JEI.21.2.023008

Abstract

Use of multispectral magnetic resonance imaging has received a great interest for prostate cancer localization in research and clinical studies. Manual extraction of prostate tumors from multispectral magnetic resonance imaging is inefficient and subjective, while automated segmentation is objective and reproducible. For supervised, automated segmentation approaches, learning is essential to obtain the information from training dataset. However, in this procedure, all patients are assumed to have similar properties for the tumor and normal tissues, and the segmentation performance suffers since the variations across patients are ignored. To conquer this difficulty, we propose a new iterative normalization method based on relative intensity values of tumor and normal tissues to normalize multispectral magnetic resonance images and improve segmentation performance. The idea of relative intensity mimics the manual segmentation performed by human readers, who compare the contrast between regions without knowing the actual intensity values. We compare the segmentation performance of the proposed method with that of z-score normalization followed by support vector machine, local active contours, and fuzzy Markov random field. Our experimental results demonstrate that our method outperforms the three other state-of-the-art algorithms, and was found to have specificity of 0.73, sensitivity of 0.69, and accuracy of 0.79, significantly better than alternative methods.

Citation Download Citation

Xin Liu and Imam Samil Yetik "Iterative normalization method for improved prostate cancer localization with multispectral magnetic resonance imaging," Journal of Electronic Imaging 21(2), 023008 (17 May 2012). https://doi.org/10.1117/1.JEI.21.2.023008

Published: 17 May 2012

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE