Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1897
Title: Interactive fusion and contrast enhancement for whole body PET/CT data using multi-image pixel composting
Authors: Chan, Chung
Kim, Jinman
Feng, D. David
Cai, Weidong
Subjects: Image enhancement
Medical image processing
Positron emission tomography
Issue Date: 2005
Publisher: IEEE
Source: 2005 IEEE Nuclear Science Symposium conference record : October 23-29, 2005, Puerto Rico, p. 2618-2621.
Abstract: The most important application of the dual-modality PET/CT is the ability to efficiently display the fused data. However, in PET/CT fusion, the amount of information displayed is often impaired as the CT data occupies greater range of contrast than that is possible to display without enhancements. A common approach to improving the CT information in the PET/CT fusion is by enhancing the contrast range of the CT data which can improve on the accuracy of structure localization and PET/CT interpretation. In this study, we present an interactive multi-image fusion which optimizes the display of the information from dual-modality PET/CT data. By interactively selecting a specific CT contrast range and assigning the resultant image as a layer, the multi-layers can be constructed and then fused using the multi-image pixel compositing. The enhanced CT data is further fused with the PET data for PET/CT diagnosis. The proposed algorithm is able to simultaneously display greater amount of information from the fused PET/CT data and reveal substantial details of the CT data that would not have been possible with standard PET/CT fusion. The preliminary results are encouraging and show potential in the PET/CT diagnosis and interpretation.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1897
DOI: 10.1109/NSSMIC.2005.1596875
ISBN: 0-7803-9221-3
Appears in Collections:EIE Conference Papers & Presentations

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