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Proceedings Paper

Medical image retrieval system using multiple features from 3D ROIs
Author(s): Hongbing Lu; Weiwei Wang; Qimei Liao; Guopeng Zhang; Zhiming Zhou
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Paper Abstract

Compared to a retrieval using global image features, features extracted from regions of interest (ROIs) that reflect distribution patterns of abnormalities would benefit more for content-based medical image retrieval (CBMIR) systems. Currently, most CBMIR systems have been designed for 2D ROIs, which cannot reflect 3D anatomical features and region distribution of lesions comprehensively. To further improve the accuracy of image retrieval, we proposed a retrieval method with 3D features including both geometric features such as Shape Index (SI) and Curvedness (CV) and texture features derived from 3D Gray Level Co-occurrence Matrix, which were extracted from 3D ROIs, based on our previous 2D medical images retrieval system. The system was evaluated with 20 volume CT datasets for colon polyp detection. Preliminary experiments indicated that the integration of morphological features with texture features could improve retrieval performance greatly. The retrieval result using features extracted from 3D ROIs accorded better with the diagnosis from optical colonoscopy than that based on features from 2D ROIs. With the test database of images, the average accuracy rate for 3D retrieval method was 76.6%, indicating its potential value in clinical application.

Paper Details

Date Published: 16 February 2012
PDF: 8 pages
Proc. SPIE 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 83190E (16 February 2012); doi: 10.1117/12.911806
Show Author Affiliations
Hongbing Lu, Fourth Military Medical Univ. (China)
Weiwei Wang, Fourth Military Medical Univ. (China)
Qimei Liao, Fourth Military Medical Univ. (China)
Guopeng Zhang, Fourth Military Medical Univ. (China)
Zhiming Zhou, Fourth Military Medical Univ. (China)

Published in SPIE Proceedings Vol. 8319:
Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications
William W. Boonn; Brent J. Liu, Editor(s)

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