Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification
Joint Authors
Zaidi, Habib
Amira, Abbes
Abbod, Maysam F.
Sharif, Mhd Saeed
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Electronic engineering
Diseases
Information Technology and Computer Science
Topics
Abstract EN
The increasing number of imaging studies 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 approaches to aid the clinicians in the clinical diagnosis, planning of treatment, and assessment of response to therapy.
A novel automated system for oncological PET volume analysis is proposed in this work.
The proposed intelligent system deploys two types of artificial neural networks (ANNs) for classifying PET volumes.
The first methodology is a competitive neural network (CNN), whereas the second one is based on learning vector quantisation neural network (LVQNN).
Furthermore, Bayesian information criterion (BIC) is used in this system to assess the optimal number of classes for each PET data set and assist the ANN blocks to achieve accurate analysis by providing the best number of classes.
The system evaluation was carried out using experimental phantom studies (NEMA IEC image quality body phantom), simulated PET studies using the Zubal phantom, and clinical studies representative of nonsmall cell lung cancer and pharyngolaryngeal squamous cell carcinoma.
The proposed analysis methodology of clinical oncological PET data has shown promising results and can successfully classify and quantify malignant lesions.
American Psychological Association (APA)
Sharif, Mhd Saeed& Abbod, Maysam F.& Amira, Abbes& Zaidi, Habib. 2012. Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Advances in Fuzzy Systems،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-463877
Modern Language Association (MLA)
Sharif, Mhd Saeed…[et al.]. Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Advances in Fuzzy Systems No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-463877
American Medical Association (AMA)
Sharif, Mhd Saeed& Abbod, Maysam F.& Amira, Abbes& Zaidi, Habib. Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Advances in Fuzzy Systems. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-463877
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-463877