A Spine X-Ray Image Retrieval System Using Partial Shape Matching

Authors:
Xiaoqian Xu;Dah-Jye Lee;S. Antani;L. R. Long
Affiliations:
Brigham Young Univ., Provo;-;-;-
Venue:
IEEE Transactions on Information Technology in Biomedicine
Year:
2008

Citing 0
Cited 5

Using relevance feedback with short-term memory for content-based spine X-ray image retrieval

Neurocomputing
CBIR of spine X-ray images on inter-vertebral disc space and shape profiles using feature ranking and voting consensus

Data & Knowledge Engineering
Cervical spine image retrieval with semantic shape features

International Journal of Computational Vision and Robotics
An effective image retrieval scheme using color, texture and shape features

Computer Standards & Interfaces
A contour based scheme for representing arbitrary shapes in digital images

Proceedings of the International Conference & Workshop on Emerging Trends in Technology

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Abstract

In recent years, there has been a rapid increase in the size and number of medical image collections. Thus, the development of appropriate methods for medical information retrieval is especially important. In a large collection of spine X-ray images, maintained by the National Library of Medicine, vertebral boundary shape has been determined to be relevant to pathology of interest. This paper presents an innovative partial shape matching (PSM) technique using dynamic programming (DP) for the retrieval of spine X-ray images. The improved version of this technique called corner-guided DP is introduced. It uses nine landmark boundary points for DP search and improves matching speed by approximately 10 times compared to traditional DP. The retrieval accuracy and processing speed of the retrieval system based on the new corner-guided PSM method are evaluated and included in this paper.