Paper:
Language: English:
Use of Fuzzy Neural Network in Diagnosing Postmenopausal Women with Osteoporosis Based on Dental Panoramic Radiographs
Agus Zainal Arifin*1, Akira Asano*2, Akira Taguchi*3, Takashi Nakamoto*4, Masahiko Ohtsuka*4, Mikio Tsuda*5, Yoshiki Kudo*6, and Keiji Tanimoto*4
*1 Department of Informatics, Faculty of Information Technology, Institut Teknologi Sepuluh Nopember (ITS)
Jurusan Teknik Informatika, Kampus ITS Sukolilo, Surabaya, 60113, Indonesia
*2 Division of Information Engineering, Graduate School of Engineering, Hiroshima University
1-7-1 Kagamiyama, Higashi-Hiroshima 739-8521, Japan
*3 Department of Oral and Maxillofacial Radiology, Hiroshima University Hospital, Hiroshima, Japan
*4 Department of Oral and Maxillofacial Radiology, Division of Medical Intelligence and Informatics,
Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
*5 Department of Obstetrics and Gynecology, Mazda Hospital, Hiroshima, Japan
*6 Department of Obstetrics and Gynecology, Division of Clinical Medical Science,
Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
Received: March 15, 2007
Accepted: June 24, 2007
Keywords: computer-aided diagnosis, fuzzy neural network, osteoporosis, panoramic radiograph
Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.8 pp. 1049-1058, 2007
Abstract
A thin or eroded cortex of the mandible detected on dental panoramic radiographs is independently associated with low skeletal bone mineral density (BMD) or osteoporosis in postmenopausal women. The purposes of this study were to develop new computer-aided diagnosis system that combines these two panoramic measures by using fuzzy neural networks (FNN) for identifying postmenopausal women with osteoporosis. Dental panoramic radiographs of 100 postmenopausal women who visited our clinic and had BMD assessments at the lumbar spine and the femoral neck were used in this study. Mandibular cortical width and shape were measured by computer-aided systems and used as the inputs. This system partitioned the input space into a set of subspaces using a novel fuzzy thresholding and constructed the fuzzy inference system incorporated with multi layer perceptron neural network. Our results show that the combination of cortical width and shape by using FNN can be used for the identification of postmenopausal women with osteoporosis in dental clinic. Dentists may identify postmenopausal women accurately by using the new FNN based system and refer them to medical professional for BMD testing.
Preview (PDF)
Reference
[Notice]
* "Preview" is the first 2 pages of the article. You don't need the registration.
* To read the PDF file you will then need to download and install the Adobe Reader.
Adobe Reader is free and available for download here:
