Please use this identifier to cite or link to this item:
|Title:||Interactive fusion and contrast enhancement for whole body PET/CT data using multi-image pixel composting|
Medical image processing
Positron emission tomography
|Source:||2005 IEEE Nuclear Science Symposium conference record : October 23-29, 2005, Puerto Rico, p. 2618-2621 How to cite?|
|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.|
|Rights:||© 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
|Appears in Collections:||Conference Paper|
Show full item record
Files in This Item:
|Chan_et_al_Image_Pixel_Composting.pdf||773.08 kB||Adobe PDF||View/Open|
Citations as of Feb 21, 2017
Checked on Feb 26, 2017
Checked on Feb 26, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.