DocumentCode :
2340590
Title :
Development of intelligent diagnosis and report system based on whole body bone SPECT image
Author :
He, Yuan-Lie ; Tian, Lian-Fang ; Zhu, Chun-Mei ; Chen, Ping ; Li, Bin ; Mao, Zong-yuan
Author_Institution :
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Volume :
9
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
5437
Abstract :
In this paper, the theory and method of digital image processing are applied to realize the function of intelligent observing images and automatic classification by computer. A computer diagnostic database system is developed. In this system, the whole body bone SPECT image from healthy persons and patients can be analyzed automatically; parameters judging healthy and diseased bone are derived and used to classify cases. By using the intelligent diagnostic algorithm, the influence on the other parts of human body in SPECT images due to large count quantity in bladder area is successfully eliminated. The brightness, contrast and readability are enhanced. It basically realized intelligent observing images and automatic classification by computer. The method in this paper is independent of SPECT equipments and radiation mark medicaments. The diagnostic results are also given automatically. All the information of patients, SPECT image data and diagnostic reports are store in the database of the system and managed by the system.
Keywords :
bone; image segmentation; medical expert systems; medical image processing; single photon emission computed tomography; visual databases; bone image analysis; computer diagnostic database system; digital image processing; image classification; image segmentation; intelligent diagnosis system; intelligent report system; medical image processing; radiation mark medicaments; whole body bone SPECT image; Biomedical imaging; Bladder; Bones; Brightness; Database systems; Digital images; Humans; Image analysis; Image databases; Medical diagnostic imaging; Medical image processing; SPECT image; database; image segmentation; intelligent diagnosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527905
Filename :
1527905
Link To Document :
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