
Proceedings Paper
Relevance feedback for shape-based pathology in spine x-ray image retrievalFormat | Member Price | Non-Member Price |
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Paper Abstract
Relevance feedback (RF) has become an active research area in Content-based Image Retrieval (CBIR). RF
attempts to bridge the gap between low-level image features and high-level human visual perception by analyzing
and employing user feedback in an effort to refine the retrieval results to better reflect individual user preference.
Need for overcoming this gap is more evident in medical image retrieval due to commonly found characteristics
in medical images, viz., (1) images belonging to different pathological categories exhibit subtle differences, and
(2) the subjective nature of images often elicits different opinions, even among experts. The National Library
of Medicine maintains a collection of digitized spine X-rays from the second National Health and Nutrition
Examination Survey (NHANES II). A pathology found frequently in these images is the Anterior Osteophyte
(AO), which is of interest to researchers in bone morphometry and osteoarthritis. Since this pathology is
manifested as deviation in shape, we have proposed the use of partial shape matching (PSM) methods for
pathology-specific spinal X-ray image retrieval. Shape matching tends to suffer from the variability in the
pathology expressed by the vertebral shape. This paper describes a novel weight-updating approach to RF. The
algorithm was tested and evaluated on a subset of data selected from the image collection. The ground truth
was established using Macnab's classification to determine pathology type and a grading system developed by
us to express the pathology severity. Experimental results show nearly 20% overall improvement on retrieving
the correct pathological category, from 69% without feedback to 88.75% with feedback.
Paper Details
Date Published: 16 March 2006
PDF: 10 pages
Proc. SPIE 6145, Medical Imaging 2006: PACS and Imaging Informatics, 61450K (16 March 2006); doi: 10.1117/12.654004
Published in SPIE Proceedings Vol. 6145:
Medical Imaging 2006: PACS and Imaging Informatics
Steven C. Horii; Osman M. Ratib, Editor(s)
PDF: 10 pages
Proc. SPIE 6145, Medical Imaging 2006: PACS and Imaging Informatics, 61450K (16 March 2006); doi: 10.1117/12.654004
Show Author Affiliations
Xiaoqian Xu, Brigham Young Univ. (United States)
Sameer Antani, National Library of Medicine (United States)
D. J. Lee, Brigham Young Univ. (United States)
Sameer Antani, National Library of Medicine (United States)
D. J. Lee, Brigham Young Univ. (United States)
L. Rodney Long, National Library of Medicine (United States)
George R. Thoma, National Library of Medicine (United States)
George R. Thoma, National Library of Medicine (United States)
Published in SPIE Proceedings Vol. 6145:
Medical Imaging 2006: PACS and Imaging Informatics
Steven C. Horii; Osman M. Ratib, Editor(s)
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