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Published in: International Journal of Computer Assisted Radiology and Surgery 5/2019

01-05-2019 | Original Article

A direct volume rendering visualization approach for serial PET–CT scans that preserves anatomical consistency

Authors: Younhyun Jung, Jinman Kim, Lei Bi, Ashnil Kumar, David Dagan Feng, Michael Fulham

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 5/2019

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Abstract

Purpose

Our aim was to develop an interactive 3D direct volume rendering (DVR) visualization solution to interpret and analyze complex, serial multi-modality imaging datasets from positron emission tomography–computed tomography (PET–CT).

Methods

Our approach uses: (i) a serial transfer function (TF) optimization to automatically depict particular regions of interest (ROIs) over serial datasets with consistent anatomical structures; (ii) integration of a serial segmentation algorithm to interactively identify and track ROIs on PET; and (iii) parallel graphics processing unit (GPU) implementation for interactive visualization.

Results

Our DVR visualization more easily identifies changes in ROIs in serial scans in an automated fashion and parallel GPU computation which enables interactive visualization.

Conclusions

Our approach provides a rapid 3D visualization of relevant ROIs over multiple scans, and we suggest that it can be used as an adjunct to conventional 2D viewing software from scanner vendors.
Appendix
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Metadata
Title
A direct volume rendering visualization approach for serial PET–CT scans that preserves anatomical consistency
Authors
Younhyun Jung
Jinman Kim
Lei Bi
Ashnil Kumar
David Dagan Feng
Michael Fulham
Publication date
01-05-2019
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 5/2019
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-019-01916-2

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