Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14064
Title: A graph-based approach to the retrieval of dual-modality biomedical images using spatial relationships
Authors: Kumar, A
Kim, J
Cai, W
Eberl, S
Feng, D
Keywords: Biomedical imaging
Biomedical measurements
Cancer
Computed tomography
Content based retrieval
Image retrieval
Information retrieval
Lungs
Medical diagnostic imaging
Positron emission tomography
Issue Date: 2008
Publisher: IEEE
Source: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008 : EMBS 2008, 20-25 August 2008, Vancouver, BC, p. 390-393 How to cite?
Abstract: The increasing size of medical image archives and the complexity of medical images have led to the development of medical content-based image retrieval (CBIR) systems. These systems use the visual content of images for image retrieval in addition to conventional textual annotation, and have become a useful technique in biomedical data management. Existing CBIR systems are typically designed for use with single-modality images, and are restricted when multi-modal images, such as co-aligned functional positron emission tomography and anatomical computed tomography (PET/CT) images, are considered. Furthermore, the inherent spatial relationships among adjacent structures in biomedical images are not fully exploited. In this study, we present an innovative retrieval system for dual-modality PET/CT images by proposing the use of graph-based methods to spatially represent the structural relationships within these images. We exploit the co-aligned functional and anatomical information in PET/CT, using attributed relational graphs (ARG) to represent both modalities spatially and applying graph matching for similarity measurements. Quantitative evaluation demonstrated that our dual-modal ARG enabled the CBIR of dual-modality PET/CT. The potential of our dual-modal ARG in clinical application was also explored.
URI: http://hdl.handle.net/10397/14064
ISBN: 978-1-4244-1814-5
978-1-4244-1815-2 (E-ISBN)
ISSN: 1557-170X
DOI: 10.1109/IEMBS.2008.4649172
Appears in Collections:Conference Paper

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