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Proceedings Paper

Advanced PET/CT fusion workstation for oncology imaging
Author(s): Christopher Lau; Sayan D. Pathak; Lixin Gong; Paul Kinahan; Phillip Cheng; Lydia Ng
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Paper Abstract

Cancer management using positron emission tomography (PET) imaging is rapidly expanding its role in clinical practice. The high sensitivity of PET to locate cancer can be confounded by the minimal anatomical information it provides. Additional anatomical information would greatly benefit diagnosis, staging, therapy planning and treatment monitoring. Computed tomography (CT) provides detailed anatomical information but is less sensitive towards cancer localization than PET. Combining PET and CT images would enable accurate localization of the functional information with respect to detailed patient anatomy. We have developed a software platform to facilitate efficient visualization of PET/CT image studies. We used a deformable registration algorithm using mutual information and a B-spline model of the deformation. Several useful visualization modes were implemented with an efficient and robust method for switching between modes and handling large datasets. Processing of several studies can be queued and the results browsed. The software has been validated with clinical data.

Paper Details

Date Published: 12 April 2005
PDF: 7 pages
Proc. SPIE 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display, (12 April 2005); doi: 10.1117/12.594749
Show Author Affiliations
Christopher Lau, Insightful Corp. (United States)
Sayan D. Pathak, Insightful Corp. (United States)
Univ. of Washington (United States)
Lixin Gong, Insightful Corp. (United States)
Paul Kinahan, Univ. of Washington (United States)
Phillip Cheng, Cedars-Sinai Medical Ctr. (United States)
Lydia Ng, Allen Institute for Brain Science (United States)


Published in SPIE Proceedings Vol. 5744:
Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display
Robert L. Galloway; Kevin R. Cleary, Editor(s)

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