DocumentCode :
2178724
Title :
Detection of Small Lesions in Medical X-Ray Image Based on Multi-Scale Fractal Feature
Author :
Jin, Xuejing ; Qi, Dawei ; Wu, Haijun ; Liu, Fuxiang
Author_Institution :
Northeast Forestry Univ., Harbin, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
X-ray technology is being increasingly employed for the clinical diagnosis and remedies in recent years. In order to distinguish small lesions in a medical X-ray image correctly, digital image processing technology is linked with clinical diagnosis. A method in medical image processing based on multiscale fractal feature (DMF) was applied in this paper. The DMF values of different regions in a medical image are normally different. According to the values of the DMF, small lesions in a medical X-ray image can be detected. This method has been applied to a digital bone fracture X-ray image. Experimental result showed that the DMF values of the background regions are between 0.005 and 0.020; the DMF values of the normal regions are between 0.040 and 0.070; and the DMF values of the knot regions are between 0.100 and 0.200. This method has stronger distinguishing ability, showing better performance in clinical diagnosis.
Keywords :
X-ray imaging; bone; fractals; medical image processing; object detection; patient diagnosis; clinical diagnosis; digital bone fracture X-ray image; digital image processing; medical X-ray image; multiscale fractal feature; small lesion detection; Biomedical image processing; Biomedical imaging; Clinical diagnosis; Digital images; Fractals; Lesions; Medical diagnostic imaging; X-ray detection; X-ray detectors; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4132-7
Electronic_ISBN :
978-1-4244-4134-1
Type :
conf
DOI :
10.1109/BMEI.2009.5304956
Filename :
5304956
Link To Document :
بازگشت