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  Flexible Segmentation and Smoothing of DT-MRI Fields Through a Customizable Structure Tensor

Schultz, T., Burgeth, B., & Weickert, J. (2006). Flexible Segmentation and Smoothing of DT-MRI Fields Through a Customizable Structure Tensor. In Advances in Visual Computing : second International Symposium, ISVC 2006, Part I (pp. 455-464). Berlin, Germany: Springer.

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 Creators:
Schultz, Thomas1, Author           
Burgeth, Bernhard, Author
Weickert, Joachim, Author
Bebis, George, Editor
Boyle, Richard, Editor
Parvin, Bahram, Editor
Koracin, Darko, Editor
Remagnino, Paolo, Editor
Nefian, Ara, Editor
Meenakshisundaram, Gopi, Editor
Pascucci, Valerio, Editor
Zara, Jiri, Editor
Molineros, Jose, Editor
Theisel, Holger1, Editor           
Malzbender, Tom, Editor
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: We present a novel structure tensor for matrix-valued images. It allows for user defined parameters that add flexibility to a number of image processing algorithms for the segmentation and smoothing of tensor fields. We provide a thorough theoretical derivation of the new structure tensor, including a proof of the equivalence of its unweighted version to the existing structure tensor from the literature. Finally, we demonstrate its advantages for segmentation and smoothing, both on synthetic tensor fields and on real DT-MRI data.

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Language(s): eng - English
 Dates: 2007-03-072006
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314434
Other: Local-ID: C125675300671F7B-EB6F64A2ACC39503C125723300453130-Schultz2006
 Degree: -

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Title: Untitled Event
Place of Event: Lake Tahoe, NV, USA
Start-/End Date: 2006-11-06

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Source 1

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Title: Advances in Visual Computing : second International Symposium, ISVC 2006, Part I
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 455 - 464 Identifier: ISBN: 3-540-48628-3

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 4291 Sequence Number: - Start / End Page: - Identifier: -