NDLI: Head and neck multimodality volumes visualization methods

Content Provider	IEEE Xplore Digital Library
Author	Sibomana, W. Daisne, J.-F. Bol, A. Lonneux, M. Gregoire, V. Michel, C.
Copyright Year	2003
Description	Author affiliation: PET Lab., Univ. Catholique de Louvain, Louvain-la-Neuve, Belgium (Sibomana, W.)
Abstract	This paper describes design strategies and algorithms which have been developed for visualization. registration, Volume of Interest (VoI) definition and measurements on multimodality single subject head and neck CT, MR, PET and surgical tumor specimen images. This work was part of a project that measured the usefulness of MR and PET images in three-dimensional radiotherapy treatment planning which was originally based only on CT images. The VoIs. which could be defined on any of the registered volume. were exported with the CT images to the treatment planning system, using DICOM. The major problem was the handling of large datasets with big differences in FOV and voxel sizes. We used object-oriented design and C++ programming language to develop object classes and methods for efficient data management. We used the eXtensible Markup Language (XMEL) standard to save the registration transformers and the VoIs. The registered volumes were resliced on the fly for visualization or VoI statistical information computing. Therefore, we avoided creation of large resliced dataset files. We used the new classes to extend two existing applications: interactive registration and RoI drawing. The paper describes: (i) the data handling problems.. (ii) the developed objects relationship and methods and (iii) the two applications.
Starting Page	1282
Ending Page	1286
File Size	1097170
Page Count	5
File Format	PDF
ISBN	0780376366
DOI	10.1109/NSSMIC.2002.1239554
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neck Visualization Computed tomography Head Positron emission tomography Algorithm design and analysis Volume measurement Surgery Neoplasms DICOM
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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