Classification Trees for fast segmentation of DTI brain fiber tracts

Gali Zimmerman-Moreno; Arnaldo Mayer; Hayit Greenspan

doi:10.1109/cvprw.2008.4562998

Classification Trees for fast segmentation of DTI brain fiber tracts

Gali Zimmerman-Moreno
, Arnaldo Mayer
, Hayit Greenspan

Tel Aviv University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

A method is proposed for modeling and classification of White Matter fiber tracts in the brain. The presented scheme uses Classification Trees in conjunction with spatial representation of the individual fibers, in order to capture the characteristic behavior of fibers belonging to a specific anatomical structure. The method is characterized by high classification speed, under 3 seconds for all the fibers in a typical DTI of a brain. The model has the ability to represent complex geometric structures and has an intuitive interpretation. Encouraging results are demonstrated for tract classification on real data from ten different subjects.

Original language	English
Title of host publication	2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops
Publisher	IEEE Computer Society
ISBN (Print)	9781424423408
DOIs	https://doi.org/10.1109/cvprw.2008.4562998
State	Published - 2008
Externally published	Yes
Event	2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2008 - Anchorage, AK, United States Duration: 23 Jun 2008 → 28 Jun 2008

Publication series

Name	2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops
ISSN (Print)	2160-7508

Conference

Conference	2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2008
Country/Territory	United States
City	Anchorage, AK
Period	23/06/08 → 28/06/08

Access to Document

10.1109/cvprw.2008.4562998

Cite this

Zimmerman-Moreno, G., Mayer, A., & Greenspan, H. (2008). Classification Trees for fast segmentation of DTI brain fiber tracts. In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops Article 4562998 (2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops). IEEE Computer Society. https://doi.org/10.1109/cvprw.2008.4562998

Zimmerman-Moreno, Gali ; Mayer, Arnaldo ; Greenspan, Hayit. / Classification Trees for fast segmentation of DTI brain fiber tracts. 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops. IEEE Computer Society, 2008. (2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops).

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title = "Classification Trees for fast segmentation of DTI brain fiber tracts",

abstract = "A method is proposed for modeling and classification of White Matter fiber tracts in the brain. The presented scheme uses Classification Trees in conjunction with spatial representation of the individual fibers, in order to capture the characteristic behavior of fibers belonging to a specific anatomical structure. The method is characterized by high classification speed, under 3 seconds for all the fibers in a typical DTI of a brain. The model has the ability to represent complex geometric structures and has an intuitive interpretation. Encouraging results are demonstrated for tract classification on real data from ten different subjects.",

author = "Gali Zimmerman-Moreno and Arnaldo Mayer and Hayit Greenspan",

year = "2008",

doi = "10.1109/cvprw.2008.4562998",

language = "אנגלית",

isbn = "9781424423408",

series = "2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops",

publisher = "IEEE Computer Society",

booktitle = "2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops",

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note = "2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2008 ; Conference date: 23-06-2008 Through 28-06-2008",

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Zimmerman-Moreno, G, Mayer, A & Greenspan, H 2008, Classification Trees for fast segmentation of DTI brain fiber tracts. in 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops., 4562998, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, IEEE Computer Society, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2008, Anchorage, AK, United States, 23/06/08. https://doi.org/10.1109/cvprw.2008.4562998

Classification Trees for fast segmentation of DTI brain fiber tracts. / Zimmerman-Moreno, Gali; Mayer, Arnaldo; Greenspan, Hayit.
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops. IEEE Computer Society, 2008. 4562998 (2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - A method is proposed for modeling and classification of White Matter fiber tracts in the brain. The presented scheme uses Classification Trees in conjunction with spatial representation of the individual fibers, in order to capture the characteristic behavior of fibers belonging to a specific anatomical structure. The method is characterized by high classification speed, under 3 seconds for all the fibers in a typical DTI of a brain. The model has the ability to represent complex geometric structures and has an intuitive interpretation. Encouraging results are demonstrated for tract classification on real data from ten different subjects.

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Zimmerman-Moreno G, Mayer A, Greenspan H. Classification Trees for fast segmentation of DTI brain fiber tracts. In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops. IEEE Computer Society. 2008. 4562998. (2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops). doi: 10.1109/cvprw.2008.4562998

Classification Trees for fast segmentation of DTI brain fiber tracts

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