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3D modeling and segmentation of diffusion weighted MRI data

Zhukov, Leonid and Museth, Ken and Breen, David and Whitaker, Ross (2001) 3D modeling and segmentation of diffusion weighted MRI data. In: Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures. Proceedings of SPIE. No.4319. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, pp. 401-412. ISBN 9780819440051. https://resolver.caltech.edu/CaltechAUTHORS:20181213-143628694

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Abstract

Diffusion weighted magnetic resonance imaging (DW MRI) is a technique that measures the diffusion properties of water molecules to produce a tensor-valued volume dataset. Because water molecules can diffuse more easily along fiber tracts, for example in the brain, rather than across them, diffusion is anisotropic and can be used for segmentation. Segmentation requires the identification of regions with different diffusion properties. In this paper we propose a new set of rotationally invariant diffusion measures which may be used to map the tensor data into a scalar representation. Our invariants may be rapidly computed because they do not require the calculation of eigenvalues. We use these invariants to analyze a 3D DW MRI scan of a human head and build geometric models corresponding to isotropic and anisotropic regions. We then utilize the models to perform quantitative analysis of these regions, for example calculating their surface area and volume.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/12.428081DOIArticle
Additional Information:© 2001 Society of Photo-Optical Instrumentation Engineers (SPIE). We would like to thank Dr. J. Michael Tyszka and Dr. Miriam Scadeng for helping us to identify the 3-D structures extracted from the DWI dataset and for patiently teaching us neuro-anatomy. We would also like to thank Dr. Alan Barr for his support of this project. This work was supported by National Science Foundation grants #ACI-9982273 and #ASC-89-20219, the National Institute on Drug Abuse, the National Institute of Mental Health and the NSF, as part of the Human Brain Project, Office of Naval Research Volume Visualization grant #N000140110033, and the National Library of Medicine "Insight" Project #N01-LM-0-3503. The DWI dataset is courtesy of the University of Utah SCI Institute.
Funders:
Funding AgencyGrant Number
NSFACI-9982273
NSFASC-89-20219
NIHUNSPECIFIED
National Institute on Drug AbuseUNSPECIFIED
National Institute of Mental Health (NIMH)UNSPECIFIED
Office of Naval Research (ONR)N000140110033
National Library of MedicineN01-LM-0-3503
Subject Keywords:DW MRI, diffusion tensor, eigenvalues, invariants, iso-surface, geometric model, level set methods
Series Name:Proceedings of SPIE
Issue or Number:4319
Record Number:CaltechAUTHORS:20181213-143628694
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20181213-143628694
Official Citation:Leonid Zhukov, Ken Museth, David E. Breen, Ross T. Whitaker, "3D modeling and segmentation of diffusion weighted MRI data," Proc. SPIE 4319, Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures, (28 May 2001); doi: 10.1117/12.428081
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:91777
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:20 Dec 2018 18:44
Last Modified:03 Oct 2019 20:38

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