Affine registration of diffusion tensor MR images

Mika Pollari; Tuomas Neuvonen; Jyrki Lötjönen

doi:10.1007/11866763_77

Affine registration of diffusion tensor MR images

Mika Pollari
, Tuomas Neuvonen
, Jyrki Lötjönen

VTT Technical Research Centre of Finland

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

10 Citations (Scopus)

Abstract

We present a new algorithm for affine registration of diffusion tensor magnetic resonance (DT-MR) images. The method is based on a new formulation of a point-wise tensor similarity measure, which weights directional and magnitude information differently depending on the type of diffusion. The method is compared to a reference method, which uses normalized mutual information (NMI), calculated either from a fractional anisotropy (FA) map of a T2-weighted MR image. The registration methods are applied to real and simulated DT-MR images. Visual assessment is done for real data and for simulated data, registration accuracy is defined. The results show that the proposed method outperforms the reference method.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006
Editors	Rasmus Larsen, Mads Nielsen, Jon Sporring
Place of Publication	Heidelberg
Publisher	Springer
Pages	629-636
Volume	2
ISBN (Electronic)	978-3-540-44728-3
ISBN (Print)	978-3-540-44727-6
DOIs	https://doi.org/10.1007/11866763_77
Publication status	Published - 2006
MoE publication type	A4 Article in a conference publication
Event	9th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2006) - Copenhagen, Denmark Duration: 1 Oct 2006 → 6 Oct 2006

Publication series

Series	Lecture Notes in Computer Science
Volume	4191
ISSN	0302-9743

Conference

Conference	9th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2006)
Country/Territory	Denmark
City	Copenhagen
Period	1/10/06 → 6/10/06

Funding

Project code: 1271

Keywords

Registration
Diffusion-tensor imaging

Access to Document

10.1007/11866763_77

Cite this

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title = "Affine registration of diffusion tensor MR images",

abstract = "We present a new algorithm for affine registration of diffusion tensor magnetic resonance (DT-MR) images. The method is based on a new formulation of a point-wise tensor similarity measure, which weights directional and magnitude information differently depending on the type of diffusion. The method is compared to a reference method, which uses normalized mutual information (NMI), calculated either from a fractional anisotropy (FA) map of a T2-weighted MR image. The registration methods are applied to real and simulated DT-MR images. Visual assessment is done for real data and for simulated data, registration accuracy is defined. The results show that the proposed method outperforms the reference method.",

keywords = "Registration, Diffusion-tensor imaging",

author = "Mika Pollari and Tuomas Neuvonen and Jyrki L{\"o}tj{\"o}nen",

year = "2006",

doi = "10.1007/11866763\_77",

language = "English",

isbn = "978-3-540-44727-6",

volume = "2",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "629--636",

editor = "Rasmus Larsen and Mads Nielsen and Jon Sporring",

booktitle = "Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006",

address = "Germany",

note = "9th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2006) ; Conference date: 01-10-2006 Through 06-10-2006",

}

Pollari, M, Neuvonen, T & Lötjönen, J 2006, Affine registration of diffusion tensor MR images. in R Larsen, M Nielsen & J Sporring (eds), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. vol. 2, Springer, Heidelberg, Lecture Notes in Computer Science, vol. 4191, pp. 629-636, 9th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2006), Copenhagen, Denmark, 1/10/06. https://doi.org/10.1007/11866763_77

Affine registration of diffusion tensor MR images. / Pollari, Mika; Neuvonen, Tuomas; Lötjönen, Jyrki.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. ed. / Rasmus Larsen; Mads Nielsen; Jon Sporring. Vol. 2 Heidelberg: Springer, 2006. p. 629-636 (Lecture Notes in Computer Science, Vol. 4191).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Affine registration of diffusion tensor MR images

AU - Pollari, Mika

AU - Neuvonen, Tuomas

AU - Lötjönen, Jyrki

PY - 2006

Y1 - 2006

N2 - We present a new algorithm for affine registration of diffusion tensor magnetic resonance (DT-MR) images. The method is based on a new formulation of a point-wise tensor similarity measure, which weights directional and magnitude information differently depending on the type of diffusion. The method is compared to a reference method, which uses normalized mutual information (NMI), calculated either from a fractional anisotropy (FA) map of a T2-weighted MR image. The registration methods are applied to real and simulated DT-MR images. Visual assessment is done for real data and for simulated data, registration accuracy is defined. The results show that the proposed method outperforms the reference method.

AB - We present a new algorithm for affine registration of diffusion tensor magnetic resonance (DT-MR) images. The method is based on a new formulation of a point-wise tensor similarity measure, which weights directional and magnitude information differently depending on the type of diffusion. The method is compared to a reference method, which uses normalized mutual information (NMI), calculated either from a fractional anisotropy (FA) map of a T2-weighted MR image. The registration methods are applied to real and simulated DT-MR images. Visual assessment is done for real data and for simulated data, registration accuracy is defined. The results show that the proposed method outperforms the reference method.

KW - Registration

KW - Diffusion-tensor imaging

U2 - 10.1007/11866763_77

DO - 10.1007/11866763_77

M3 - Conference article in proceedings

SN - 978-3-540-44727-6

VL - 2

T3 - Lecture Notes in Computer Science

SP - 629

EP - 636

BT - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006

A2 - Larsen, Rasmus

A2 - Nielsen, Mads

A2 - Sporring, Jon

PB - Springer

CY - Heidelberg

T2 - 9th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2006)

Y2 - 1 October 2006 through 6 October 2006

ER -

Affine registration of diffusion tensor MR images

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

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