NDLI: Cross-device automated prostate cancer localization with multiparametric MRI

Content Provider	IEEE Xplore Digital Library
Author	Artan, Y. Oto, A. Yetik, I.S.
Copyright Year	2012
Description	Author affiliation: Dept. of Radiol., Univ. of Chicago, Chicago, IL, USA (Oto, A.) \|\| Med. Imaging Res. Center, Illinois Inst. of Technol., Chicago, IL, USA (Artan, Y.; Yetik, I.S.)
Abstract	Automated cancer localization with supervised techniques plays an important role in guiding biopsy, surgery and treatment. It is crucial to have an accurate training dataset for supervised techniques. Since different devices with e.g. different protocols and/or field strengths cause different intensity profiles, each device/protocol must have an accompanying training dataset which is very costly to obtain. In this paper, we propose a novel method that has the ability to design classifiers obtained from one imaging protocol and/or MRI device to be used on a dataset from another protocol and/or imaging device. As an example problem we consider prostate cancer localization with multiparametric MRI. We show that simple normalization techniques such as z-score are not sufficient to allow for cross-device automated cancer localization. On the other hand, the methods we have originally developed based on relative intensity allows us to successfully use a classifier obtained from one device to be applied on a test patient imaged with another device.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	6247
Ending Page	6250
File Size	911268
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347422
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic resonance imaging Protocols Training Tumors Prostate cancer Linear Discriminant Analysis (LDA) Intensity Normalization Magnetic Resonance Imaging (MRI) Prostate Cancer
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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