Using multiple contoursets to represent structures in 3D images

Authors:
Hongwu Wang;Jay B. West;John R. Dooley;Bai Wang;I-Ning Chang;Ye Sheng
Affiliations:
Accuray Incorporated, Chesapeake Terrace, Sunnyvale, CA;Accuray Incorporated, Chesapeake Terrace, Sunnyvale, CA;Accuray Incorporated, Chesapeake Terrace, Sunnyvale, CA;Accuray Incorporated, Chesapeake Terrace, Sunnyvale, CA;Accuray Incorporated, Chesapeake Terrace, Sunnyvale, CA;Accuray Incorporated, Chesapeake Terrace, Sunnyvale, CA
Venue:
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Year:
2007

Citing 2
Cited 0

Interactive image segmentation for radiation treatment planning

IBM Systems Journal
Volume-Sampled 3D Modeling

IEEE Computer Graphics and Applications

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Abstract

This paper presents a unique framework for representing volumes of interest (VOI) within 3D images. The framework contains a four-tier VOI tree structure, and three Boolean operations defined on top of the structures. The new framework allows complex geometries to be represented, while permitting unambiguous interpolation to be performed between image slices without the necessity for manual component labeling. This framework has been used in the context of treatment planning for the CyberKnife® radiosurgery system, allowing anatomical structures and dose constraints to be easily and intuitively created.