Share Email Print

Proceedings Paper

Robust retrieval from compressed medical image archives
Author(s): Denis N. Sidorov; Jean Francois Lerallut; Jean-Pierre Cocquerez; Joaquin Azpiroz
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Paper addresses the computational aspects of extracting important features directly from compressed images for the purpose of aiding biomedical image retrieval based on content. The proposed method for treatment of compressed medical archives follows the JPEG compression standard and exploits algorithm based on spacial analysis of the image cosine spectrum coefficients amplitude and location. The experiments on modality-specific archive of osteoarticular images show robustness of the method based on measured spectral spatial statistics. The features, which were based on the cosine spectrum coefficients' values, could satisfy different types of queries' modalities (MRI, US, etc), which emphasized texture and edge properties. In particular, it has been shown that there is wealth of information in the AC coefficients of the DCT transform, which can be utilized to support fast content-based image retrieval. The computational cost of proposed signature generation algorithm is low. Influence of conventional and the state-of-the-art compression techniques based on cosine and wavelet integral transforms on the performance of content-based medical image retrieval has been also studied. We found no significant differences in retrieval efficiencies for non-compressed and JPEG2000-compressed images even at the lowest bit rate tested.

Paper Details

Date Published: 15 April 2005
PDF: 8 pages
Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, (15 April 2005); doi: 10.1117/12.595319
Show Author Affiliations
Denis N. Sidorov, Univ. de Technologie de Compiegne, CNRS (France)
Jean Francois Lerallut, Univ. de Technologie de Compiegne, CNRS (France)
Jean-Pierre Cocquerez, Univ. de Technologie de Compiegne, CNRS (France)
Joaquin Azpiroz, Univ. Autonoma Metropolitana (Mexico)

Published in SPIE Proceedings Vol. 5748:
Medical Imaging 2005: PACS and Imaging Informatics
Osman M. Ratib; Steven C. Horii, Editor(s)

© SPIE. Terms of Use
Back to Top