Content based image retrieval applied to contrast enhancing brain tumors

Hussain Z. Tameem; Shishir Dube; Usha Sinha

doi:10.1117/12.771030

13 March 2008 Content based image retrieval applied to contrast enhancing brain tumors

Hussain Z. Tameem, Shishir Dube, Usha Sinha

Proceedings Volume 6919, Medical Imaging 2008: PACS and Imaging Informatics; 691910 (2008) https://doi.org/10.1117/12.771030
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

This work focuses on image retrieval utilizing principal component analysis (PCA) and linear discriminant analysis (LDA) techniques for brain tumors from Magnetic Resonance (MR) studies. The research has been broken into three stages. Stage 1 consists of developing the PCA and LDA algorithms to be used for content based image retrieval (CBIR) systems. Stage 2 consists of evaluation of PCA and LDA algorithms on synthetic tumor images with added noise and shading artifacts. Stage 3 consists of tailoring the algorithm specifically for automated detection and CBIR system of MR contrast enhancing tumors matching a given query image. The algorithm has been developed and tested successfully for synthetic tumor images and actual contrast enhanced tumors. We hope to integrate the PCA and LDA algorithms to perform an indexing of the tumor shapes derived from actual MR images. Two relevant indices: size and location will also be used to index the data.

Citation Download Citation

Hussain Z. Tameem, Shishir Dube, and Usha Sinha "Content based image retrieval applied to contrast enhancing brain tumors", Proc. SPIE 6919, Medical Imaging 2008: PACS and Imaging Informatics, 691910 (13 March 2008); https://doi.org/10.1117/12.771030

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KEYWORDS

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Principal component analysis

Brain

Neuroimaging

Algorithm development

Magnetic resonance imaging

Image retrieval

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