Robust assessment of the brain's sheet structure using normalized convolution

C.M.W. Tax; C.-F. Westin; T.C.J. Dela Haije; A. Fuster; M.A. Viergever; L.M.J. Florack; A. Leemans

Robust assessment of the brain's sheet structure using normalized convolution

C.M.W. Tax, C.-F. Westin, T.C.J. Dela Haije, A. Fuster, M.A. Viergever, L.M.J. Florack, A. Leemans

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

Abstract

The theory that brain fiber pathways cross in sheet-like structures has been a topic of debate. This theory is mainly supported by qualitative findings using diffusion MRI tractography, and a comprehensive quantitative analysis is necessary. To this end, an approach was developed to quantify the degree of “sheetness” based on constructing a large amount of loops with tractography. This approach, however, is computationally expensive, cannot cope well with missing peaks, and is only an approximation when the loops are not infinitesimally small. Here we present an alternative, fast, robust, and elegant approach for the computation of the degree of sheetness.

Original language	English
Title of host publication	Proceedings of the 24th Annual Meeting of the ISMRM, Singapore
Pages	2073
Publication status	Published - 2016
Event	24th ISMRM Annual Meeting and Exhibition, May 7-13, 2016, Singapore - Singapore, Singapore Duration: 7 May 2016 → 13 May 2016 http://www.ismrm.org/16/program_files/O28.htm

Conference

Conference	24th ISMRM Annual Meeting and Exhibition, May 7-13, 2016, Singapore
Country/Territory	Singapore
City	Singapore
Period	7/05/16 → 13/05/16
Other
Internet address	http://www.ismrm.org/16/program_files/O28.htm

Cite this

@inproceedings{cc1e43c6f1ae40a7954b747fcfad2b50,

title = "Robust assessment of the brain's sheet structure using normalized convolution",

abstract = "The theory that brain fiber pathways cross in sheet-like structures has been a topic of debate. This theory is mainly supported by qualitative findings using diffusion MRI tractography, and a comprehensive quantitative analysis is necessary. To this end, an approach was developed to quantify the degree of “sheetness” based on constructing a large amount of loops with tractography. This approach, however, is computationally expensive, cannot cope well with missing peaks, and is only an approximation when the loops are not infinitesimally small. Here we present an alternative, fast, robust, and elegant approach for the computation of the degree of sheetness.",

author = "C.M.W. Tax and C.-F. Westin and {Dela Haije}, T.C.J. and A. Fuster and M.A. Viergever and L.M.J. Florack and A. Leemans",

year = "2016",

language = "English",

pages = "2073",

booktitle = "Proceedings of the 24th Annual Meeting of the ISMRM, Singapore",

note = "24th ISMRM Annual Meeting and Exhibition, May 7-13, 2016, Singapore ; Conference date: 07-05-2016 Through 13-05-2016",

url = "http://www.ismrm.org/16/program_files/O28.htm",

}

TY - GEN

T1 - Robust assessment of the brain's sheet structure using normalized convolution

AU - Tax, C.M.W.

AU - Westin, C.-F.

AU - Dela Haije, T.C.J.

AU - Fuster, A.

AU - Viergever, M.A.

AU - Florack, L.M.J.

AU - Leemans, A.

PY - 2016

Y1 - 2016

N2 - The theory that brain fiber pathways cross in sheet-like structures has been a topic of debate. This theory is mainly supported by qualitative findings using diffusion MRI tractography, and a comprehensive quantitative analysis is necessary. To this end, an approach was developed to quantify the degree of “sheetness” based on constructing a large amount of loops with tractography. This approach, however, is computationally expensive, cannot cope well with missing peaks, and is only an approximation when the loops are not infinitesimally small. Here we present an alternative, fast, robust, and elegant approach for the computation of the degree of sheetness.

AB - The theory that brain fiber pathways cross in sheet-like structures has been a topic of debate. This theory is mainly supported by qualitative findings using diffusion MRI tractography, and a comprehensive quantitative analysis is necessary. To this end, an approach was developed to quantify the degree of “sheetness” based on constructing a large amount of loops with tractography. This approach, however, is computationally expensive, cannot cope well with missing peaks, and is only an approximation when the loops are not infinitesimally small. Here we present an alternative, fast, robust, and elegant approach for the computation of the degree of sheetness.

M3 - Conference contribution

SP - 2073

BT - Proceedings of the 24th Annual Meeting of the ISMRM, Singapore

T2 - 24th ISMRM Annual Meeting and Exhibition, May 7-13, 2016, Singapore

Y2 - 7 May 2016 through 13 May 2016

ER -

Robust assessment of the brain's sheet structure using normalized convolution

Abstract

Conference

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