Structural connectivity analysis using finsler geometry

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Standard

Structural connectivity analysis using finsler geometry. / Dela Haije, Tom; Savadjiev, Peter; Fuster, Andrea; Schultz, Robert T.; Verma, Ragini; Florack, Luc; Westin, Carl Fredrik.

I: SIAM Journal on Imaging Sciences, Bind 12, Nr. 1, 2019, s. 551-575.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Dela Haije, T, Savadjiev, P, Fuster, A, Schultz, RT, Verma, R, Florack, L & Westin, CF 2019, 'Structural connectivity analysis using finsler geometry', SIAM Journal on Imaging Sciences, bind 12, nr. 1, s. 551-575. https://doi.org/10.1137/18M1209428

APA

Dela Haije, T., Savadjiev, P., Fuster, A., Schultz, R. T., Verma, R., Florack, L., & Westin, C. F. (2019). Structural connectivity analysis using finsler geometry. SIAM Journal on Imaging Sciences, 12(1), 551-575. https://doi.org/10.1137/18M1209428

Vancouver

Dela Haije T, Savadjiev P, Fuster A, Schultz RT, Verma R, Florack L o.a. Structural connectivity analysis using finsler geometry. SIAM Journal on Imaging Sciences. 2019;12(1):551-575. https://doi.org/10.1137/18M1209428

Author

Dela Haije, Tom ; Savadjiev, Peter ; Fuster, Andrea ; Schultz, Robert T. ; Verma, Ragini ; Florack, Luc ; Westin, Carl Fredrik. / Structural connectivity analysis using finsler geometry. I: SIAM Journal on Imaging Sciences. 2019 ; Bind 12, Nr. 1. s. 551-575.

Bibtex

@article{164c6c1b9c0541bdbb39a43aa2285210,
title = "Structural connectivity analysis using finsler geometry",
abstract = "In this work we demonstrate how Finsler geometry---and specifically the related geodesic tracto-graphy---can be levied to analyze structural connections between different brain regions. We present new theoretical developments which support the definition of a novel Finsler metric and associated connectivity measures, based on closely related works on the Riemannian framework for diffusion MRI. Using data from the Human Connectome Project, as well as population data from an autism spectrum disorder study, we demonstrate that this new Finsler metric, together with the new connectivity measures, results in connectivity maps that are much closer to known tract anatomy compared to previous geodesic connectivity methods. Our implementation can be used to compute geodesic distance and connectivity maps for segmented areas and is publicly available.",
keywords = "Connectivity analysis, Diffusion MRI, Finsler geometry",
author = "{Dela Haije}, Tom and Peter Savadjiev and Andrea Fuster and Schultz, {Robert T.} and Ragini Verma and Luc Florack and Westin, {Carl Fredrik}",
year = "2019",
doi = "10.1137/18M1209428",
language = "English",
volume = "12",
pages = "551--575",
journal = "SIAM Journal on Imaging Sciences",
issn = "1936-4954",
publisher = "Society for Industrial and Applied Mathematics",
number = "1",

}

RIS

TY - JOUR

T1 - Structural connectivity analysis using finsler geometry

AU - Dela Haije, Tom

AU - Savadjiev, Peter

AU - Fuster, Andrea

AU - Schultz, Robert T.

AU - Verma, Ragini

AU - Florack, Luc

AU - Westin, Carl Fredrik

PY - 2019

Y1 - 2019

N2 - In this work we demonstrate how Finsler geometry---and specifically the related geodesic tracto-graphy---can be levied to analyze structural connections between different brain regions. We present new theoretical developments which support the definition of a novel Finsler metric and associated connectivity measures, based on closely related works on the Riemannian framework for diffusion MRI. Using data from the Human Connectome Project, as well as population data from an autism spectrum disorder study, we demonstrate that this new Finsler metric, together with the new connectivity measures, results in connectivity maps that are much closer to known tract anatomy compared to previous geodesic connectivity methods. Our implementation can be used to compute geodesic distance and connectivity maps for segmented areas and is publicly available.

AB - In this work we demonstrate how Finsler geometry---and specifically the related geodesic tracto-graphy---can be levied to analyze structural connections between different brain regions. We present new theoretical developments which support the definition of a novel Finsler metric and associated connectivity measures, based on closely related works on the Riemannian framework for diffusion MRI. Using data from the Human Connectome Project, as well as population data from an autism spectrum disorder study, we demonstrate that this new Finsler metric, together with the new connectivity measures, results in connectivity maps that are much closer to known tract anatomy compared to previous geodesic connectivity methods. Our implementation can be used to compute geodesic distance and connectivity maps for segmented areas and is publicly available.

KW - Connectivity analysis

KW - Diffusion MRI

KW - Finsler geometry

U2 - 10.1137/18M1209428

DO - 10.1137/18M1209428

M3 - Journal article

AN - SCOPUS:85064222641

VL - 12

SP - 551

EP - 575

JO - SIAM Journal on Imaging Sciences

JF - SIAM Journal on Imaging Sciences

SN - 1936-4954

IS - 1

ER -

ID: 223680364