DocumentCode :
2114078
Title :
Cross-device automated prostate cancer localization with multiparametric MRI
Author :
Artan, Yusuf ; Oto, A. ; Yetik, I.S.
Author_Institution :
Med. Imaging Res. Center, Illinois Inst. of Technol., Chicago, IL, USA
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
6247
Lastpage :
6250
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.
Keywords :
biomedical MRI; biomedical equipment; cancer; surgery; training; MRI device; biopsy; cross-device automated prostate cancer localization; imaging protocol; intensity profiles; multiparametric MRI; patient imaging; patient treatment; relative intensity; supervised techniques; surgery; training dataset; Magnetic resonance imaging; Prostate cancer; Protocols; Training; Tumors; Intensity Normalization; Linear Discriminant Analysis (LDA); Magnetic Resonance Imaging (MRI); Prostate Cancer; Automation; Biopsy; Discriminant Analysis; Humans; Magnetic Resonance Imaging; Male; Prostatic Neoplasms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6347422
Filename :
6347422
Link To Document :
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