DocumentCode :
1860352
Title :
The Application of Local Structure Classification in Content-Based 3D Medical Image Retrieval
Author :
Shuzhao Dong ; Kaikun Dong ; Lu Yin
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol. at Weihai, Weihai, China
fYear :
2013
fDate :
26-28 July 2013
Firstpage :
639
Lastpage :
642
Abstract :
An approach is proposed to classify local structures for 3D medical images into line-like, blob-like and sheet-like patterns in different sizes. This approach is based on the second-order derivatives in multiscale space, using normalized response functions. The application of this approach in content-based 3D medical image retrieval is discussed. Experiments on CT images are performed and the method is proved to be efficient for filtering specific local structures in selected range of sizes.
Keywords :
Hessian matrices; biomedical MRI; computerised tomography; content-based retrieval; filtering theory; image classification; image retrieval; medical image processing; CT images; Hessian matrix; MRI images; blob-like pattern; content-based 3D medical image retrieval; line-like pattern; local structure classification; multiscale space; normalized response functions; second-order derivatives; sheet-like pattern; volume images; Computed tomography; Eigenvalues and eigenfunctions; Image retrieval; Medical diagnostic imaging; Optical filters; Three-dimensional displays; 3D medical image; Hessian Matrix; content-based image retrieval; filtering; multi-scale analysis; response function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG), 2013 Seventh International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ICIG.2013.132
Filename :
6643749
Link To Document :
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