DocumentCode :
599035
Title :
Thermographic image analysis method in detection of canine bone cancer (osteosarcoma)
Author :
Amini, Milad ; Peng Liu ; Umbaugh, S.E. ; Marino, D.J. ; Loughin, C.A.
Author_Institution :
Comput. Vision & Image Process. Lab., Southern Illinois Univ. Edwardsville (SIUE), Edwardsville, IL, USA
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
485
Lastpage :
489
Abstract :
Bone cancer is a pathologic condition which may occur for both humans and canines. This tumor develops quickly from within the bone tissue and become painful as it grows outward. A metastasized bone tumor may be cured by amputation, otherwise it will be fatal. The current diagnostic imaging methods for bone cancer are X-rays, Computed Tomography scan (CT scan), and Magnetic Resonance Imaging (MRI). The disadvantages of these methods include not enough detail in X-ray images, high dose of radiation from CT scans, and high expense of the time-consuming MRI method. In most of the bone cancer cases, when this tumor is detected by these imaging methods, it has already metastasized. The study is to investigate whether it is possible to detect canine bone cancer by thermography imaging. This alternative imaging method will decrease diagnostic time, expenses and prevent radiation exposure. The best classification success rate obtained in this study is 80.77%.
Keywords :
biological tissues; biomedical MRI; bone; cancer; computerised tomography; image classification; infrared imaging; medical image processing; CT scan; MRI method; X-ray images; bone tissue; canine bone cancer detection; computed tomography scan; decrease diagnostic time; decrease expenses; diagnostic imaging methods; magnetic resonance imaging; metastasized bone tumor; osteosarcoma; pathologic condition; radiation exposure prevention; thermographic image analysis method; thermography imaging; Bones; Cancer; Feature extraction; Histograms; Image color analysis; Pattern classification; Software; CVIPtools; bone cancer; feature extraction; osteosarcoma; pattern classification; thermographic image analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-0965-3
Type :
conf
DOI :
10.1109/CISP.2012.6470012
Filename :
6470012
Link To Document :
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