DocumentCode
672049
Title
Software tools for medical diagnosis support automatic interpretation of digital X-ray films
Author
Vertan, Constantin ; Florea, Catalin ; Florea, Laura ; Sultana, Ayesha
Author_Institution
LAPI - The Image Process. & Anal. Lab., Univ. “Politeh.” of Bucharest, Bucharest, Romania
fYear
2013
fDate
21-23 Nov. 2013
Firstpage
1
Lastpage
4
Abstract
The use of digital image processing as a medical diagnosis aid is now well established, being slowly but successfully integrated directly within the medical imaging devices. The traditional use of digital image processing as a post-imaging technique is still interesting, especially for new approaches to classical applications or for pioneering new ones. Our studies in the field of near automatic interpretation of particular X-ray types showed the possibility of performing various diagnostic-relevant tasks, such as grading the bone mass density based on the texture of the calcaneal bone, the analysis of the fit of un-cemented total hip prostheses and the investigation of the mammographic masses. The particular nature of the physics underlying the image acquisition in X-ray films suggested the use of new software tools based on a modified version of the classical Logarithmic Image Processing (LIP) model. We will show that the modified logarithmic operations allow, among other, fast and precise image enhancement and contour extraction in various situations.
Keywords
bone; diagnostic radiography; feature extraction; image enhancement; image texture; mammography; medical image processing; prosthetics; X-ray types; bone mass density; calcaneal bone texture; classical logarithmic image processing model; contour extraction; diagnostic-relevant tasks; digital X-ray films; digital image processing; image acquisition; image enhancement; mammographic masses; medical diagnosis support automatic interpretation; medical imaging devices; modified logarithmic operations; post-imaging technique; software tools; uncemented total hip prostheses; Biomedical imaging; Bones; Histograms; Image enhancement; Mathematical model; X-ray imaging; Image enhancement; Image processing; LIP; Linear algebra; X-ray;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Health and Bioengineering Conference (EHB), 2013
Conference_Location
Iasi
Print_ISBN
978-1-4799-2372-4
Type
conf
DOI
10.1109/EHB.2013.6707395
Filename
6707395
Link To Document