DocumentCode :
2093667
Title :
Feature Extraction of Bone Scintigraphy for Diagnosis of Diseases
Author :
Maity, Saikat ; Sil, Jaya
Author_Institution :
Inf. Technol., Dr.B.C.Roy Eng. Coll., Durgapur, India
fYear :
2012
fDate :
11-13 May 2012
Firstpage :
179
Lastpage :
183
Abstract :
The poor quality of medical images create bottleneck in identifying the affected bones and its exact number by the investigators. The paper aims at evolving an efficient parameterization technique to extract biomedical bone image features with the help of bone scintigraphy technique from poor resolution images. An open source software package, elastix has been used to select a proper medical image registration method for a particular application. The focus of the proposed method is to removing uncertainties from the images of bone scintigraphy to obtain a clear idea about the unconventional shape of the specific human bones based on which the affected bones are identified and thereby facilitate diagnosis of diseases.
Keywords :
bone; medical image processing; radioisotope imaging; biomedical bone image feature; bone scintigraphy; bone scintigraphy technique; bottleneck; disease diagnosis; feature extraction; human bones; image resolution; medical image registration method; parameterization technique; Artificial neural networks; Bones; Communication systems; Filtering algorithms; Image resolution; Shape; Image segmentation; Registration; Scintigraphy; parameterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2012 International Conference on
Conference_Location :
Rajkot
Print_ISBN :
978-1-4673-1538-8
Type :
conf
DOI :
10.1109/CSNT.2012.46
Filename :
6200572
Link To Document :
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