NDLI: Automatic PET volume analysis and classification based on ANN and BIC

Content Provider	IEEE Xplore Digital Library
Author	Sharif, M.S. Abbod, M. Krill, B. Amira, A. Zaidi, H.
Copyright Year	2011
Description	Author affiliation: School of Engineering and Design, Brunel University, West London, United Kingdom (Sharif, M.S.; Abbod, M.) \|\| Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Switzerland (Zaidi, H.) \|\| Nanotechnology and Integrated, Bio-Engineering Centre, University of Ulster, United Kingdom (Krill, B.; Amira, A.)
Abstract	The increasing number of patient scans and the prevailing application of positron emission tomography (PET) in clinical oncology have led to a real need for efficient PET volume handling and the development of new volume analysis and classification approaches to aid clinicians in the diagnosis of diseases and planning of treatment. A novel automated approach for oncological PET volume classification is proposed in this paper. The proposed intelligent system deploys artificial neural networks (ANN) for classifying phantom and clinical PET volumes. Bayesian information criterion (BIC) has been used in this system to assess the optimal number of classes for each PET data set and assist the ANN block to achieve accurate automatic classification for the region of interest (ROI). ANN performance evaluation has been carried out using confusion matrix and receiver operating characteristic curve. The proposed classification methodology of phantom and clinical oncological PET data has shown promising results and can successfully classify patient lesion.
Starting Page	565
Ending Page	570
File Size	144669
Page Count	6
File Format	PDF
ISBN	9781612848433
ISSN	21591423
e-ISBN	9781612848426
DOI	10.1109/ISCE.2011.5973894
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-14
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Positron emission tomography Artificial neural networks Phantoms Tumors Three dimensional displays Neurons Lungs Tumour Bayesian information criterion Medical volume analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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