Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24495
Title: Thoracic image matching with appearance and spatial distribution
Authors: Song, Y
Cai, W
Eberl, S
Fulham, M
Feng, D
Keywords: Image matching
Image retrieval
Medical image processing
Positron emission tomography
Issue Date: 2011
Publisher: IEEE
Source: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, August 30 2011-September 3 2011, Boston, MA, p. 4469-4472 How to cite?
Abstract: Positron emission tomography - computed tomography (PET-CT) produces co-registered anatomical (CT) and functional (PET) patient information (3D image set) from a single scanning session, and is now accepted as the best imaging technique to accurately stage the most common form of primary lung cancer - non-small cell lung cancer (NSCLC). This paper presents a content-based image retrieval (CBIR) method for retrieving similar images as a reference dataset to potentially aid the physicians in PET-CT scan interpretation. We design a spatial distribution to describe the spatial information of each region-of-interest (ROI), and a pairwise ROI mapping scheme between images to compute the image matching level. Similar images are then retrieved based on the local and spatial information of the detected ROIs, and a learned weighted sum of ROI distances. Our evaluation on clinical data shows good image retrieval performance.
URI: http://hdl.handle.net/10397/24495
ISBN: 978-1-4244-4121-1
978-1-4244-4122-8 (E-ISBN)
ISSN: 1557-170X
DOI: 10.1109/IEMBS.2011.6091108
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