NDLI: Interactive point-of-interest volume rendering visualization of PET-CT data

Content Provider	IEEE Xplore Digital Library
Author	Kim, Jinman Kumar, Ashnil Eberl, Stefan Fulham, Michael Feng, Dagan
Copyright Year	2008
Description	Author affiliation: BMIT Research Group, University of Sydney, Australia (Eberl, Stefan; Fulham, Michael; Feng, Dagan) \|\| Biomedical and Multimedia Information Technology (BMIT) Research Group, School of Information Technologies, University of Sydney, Australia (Kim, Jinman; Kumar, Ashnil)
Abstract	Due to the rapid advances in dual-modality PET-CT scanners, the access to and assimilation of critical information within these data are becoming extremely difficult with conventional 2D and even with sophisticated 3D visualization. In this study, we propose an integration of maximum intensity projection (MIP) and direct volume rendering (DVR) algorithms to provide a comprehensive solution for PET-CT visualization. In this process, interactive selection of a point-of-interest (POI) from fused-MIP of PET-CT is used to automate the image enhancements, such as transfer function generation, for subsequent DVR visualization used in further image diagnosis. Such automation can significantly ease the required manual image enhancements/manipulation that must be performed during image visualization. We demonstrate the effectiveness of our proposed volume rendering visualization scheme with its application to clinical PET-CT tumor studies.
Starting Page	4384
Ending Page	4387
File Size	8146810
Page Count	4
File Format	PDF
ISBN	9781424427147
ISSN	10957863
DOI	10.1109/NSSMIC.2008.4774253
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-19
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data visualization Rendering (computer graphics) Positron emission tomography Image enhancement Neoplasms Computed tomography Transfer functions Automation Signal processing algorithms Nuclear and plasma sciences
Content Type	Text
Resource Type	Article

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