Atlas-based registration parameters in segmenting sub-cortical regions from brain MRI-images

Jyrki Lötjönen; Juha Koikkalainen; L. Thurfjell; D. Rueckert

doi:10.1109/ISBI.2009.5192973

Atlas-based registration parameters in segmenting sub-cortical regions from brain MRI-images

Jyrki Lötjönen, Juha Koikkalainen, L. Thurfjell, D. Rueckert

VTT Technical Research Centre of Finland

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

6 Citations (Scopus)

Abstract

Multi-atlas segmentation has been proved to perform well in segmenting sub-cortical structures from images. In this work, we study different components of multi-atlas segmentation and propose new techniques to improve the segmentation accuracy. We found that the use of gradient information in addition to standard normalised mutual information increases the registration accuracy. We also studied different techniques to select atlases in the multi-atlas segmentation. In addition, the expectation maximisation algorithm was used to combine multi-atlas and intensity model information. The average similarity index obtained for six subcortical structures was 0.84. (11 refs.)

Original language	English
Title of host publication	2009 IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro
Place of Publication	Piscataway
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	21-24
ISBN (Electronic)	978-1-4244-3932-4
ISBN (Print)	978-1-4244-3931-7
DOIs	https://doi.org/10.1109/ISBI.2009.5192973
Publication status	Published - 2009
MoE publication type	A4 Article in a conference publication
Event	IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Boston, United States Duration: 28 Jun 2009 → 1 Jul 2009

Conference

Conference	IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Country/Territory	United States
City	Boston
Period	28/06/09 → 1/07/09

Keywords

Atlases
brain
registation
segmentation

Access to Document

10.1109/ISBI.2009.5192973

Cite this

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title = "Atlas-based registration parameters in segmenting sub-cortical regions from brain MRI-images",

abstract = "Multi-atlas segmentation has been proved to perform well in segmenting sub-cortical structures from images. In this work, we study different components of multi-atlas segmentation and propose new techniques to improve the segmentation accuracy. We found that the use of gradient information in addition to standard normalised mutual information increases the registration accuracy. We also studied different techniques to select atlases in the multi-atlas segmentation. In addition, the expectation maximisation algorithm was used to combine multi-atlas and intensity model information. The average similarity index obtained for six subcortical structures was 0.84. (11 refs.)",

keywords = "Atlases, brain, registation, segmentation",

author = "Jyrki L{\"o}tj{\"o}nen and Juha Koikkalainen and L. Thurfjell and D. Rueckert",

year = "2009",

doi = "10.1109/ISBI.2009.5192973",

language = "English",

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pages = "21--24",

booktitle = "2009 IEEE International Symposium on Biomedical Imaging",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI ; Conference date: 28-06-2009 Through 01-07-2009",

}

Lötjönen, J, Koikkalainen, J, Thurfjell, L & Rueckert, D 2009, Atlas-based registration parameters in segmenting sub-cortical regions from brain MRI-images. in 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE Institute of Electrical and Electronic Engineers, Piscataway, pp. 21-24, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI, Boston, United States, 28/06/09. https://doi.org/10.1109/ISBI.2009.5192973

Atlas-based registration parameters in segmenting sub-cortical regions from brain MRI-images. / Lötjönen, Jyrki; Koikkalainen, Juha; Thurfjell, L. et al.
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Piscataway: IEEE Institute of Electrical and Electronic Engineers, 2009. p. 21-24.

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

TY - GEN

T1 - Atlas-based registration parameters in segmenting sub-cortical regions from brain MRI-images

AU - Lötjönen, Jyrki

AU - Koikkalainen, Juha

AU - Thurfjell, L.

AU - Rueckert, D.

PY - 2009

Y1 - 2009

N2 - Multi-atlas segmentation has been proved to perform well in segmenting sub-cortical structures from images. In this work, we study different components of multi-atlas segmentation and propose new techniques to improve the segmentation accuracy. We found that the use of gradient information in addition to standard normalised mutual information increases the registration accuracy. We also studied different techniques to select atlases in the multi-atlas segmentation. In addition, the expectation maximisation algorithm was used to combine multi-atlas and intensity model information. The average similarity index obtained for six subcortical structures was 0.84. (11 refs.)

AB - Multi-atlas segmentation has been proved to perform well in segmenting sub-cortical structures from images. In this work, we study different components of multi-atlas segmentation and propose new techniques to improve the segmentation accuracy. We found that the use of gradient information in addition to standard normalised mutual information increases the registration accuracy. We also studied different techniques to select atlases in the multi-atlas segmentation. In addition, the expectation maximisation algorithm was used to combine multi-atlas and intensity model information. The average similarity index obtained for six subcortical structures was 0.84. (11 refs.)

KW - Atlases

KW - brain

KW - registation

KW - segmentation

U2 - 10.1109/ISBI.2009.5192973

DO - 10.1109/ISBI.2009.5192973

M3 - Conference article in proceedings

SN - 978-1-4244-3931-7

SP - 21

EP - 24

BT - 2009 IEEE International Symposium on Biomedical Imaging

PB - IEEE Institute of Electrical and Electronic Engineers

CY - Piscataway

T2 - IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI

Y2 - 28 June 2009 through 1 July 2009

ER -

Atlas-based registration parameters in segmenting sub-cortical regions from brain MRI-images

Abstract

Conference

Keywords

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Cite this