A Variational Method for Constructing Unbiased Atlas with Probabilistic Label Maps

Kanglin  Chen; Alexander Derksen

doi:10.1007/978-3-662-46224-9_22

A Variational Method for Constructing Unbiased Atlas with Probabilistic Label Maps

Kanglin Chen, Alexander Derksen

Institute of Robotics and Cognitive Systems

Fraunhofer MEVIS

Abstract

We introduce a novel variational method based image registration and reconstruction to construct an average atlas with probabilistic label maps. The average atlas equipped with probabilistic label maps could be used to improve atlas based segmentation. In the experiment we validate the registration accuracy and the unbiasedness of atlas construction using clinical datasets.

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2015
Editors	Heinz Handels, Thomas Martin Deserno, Hans-Peter Meinzer, Thomas Tolxdorff
Number of pages	6
Place of Publication	Berlin, Heidelberg
Publisher	Springer Berlin Heidelberg
Publication date	25.02.2015
Pages	119-124
ISBN (Print)	978-3-662-46223-2
ISBN (Electronic)	978-3-662-46224-9
DOIs	https://doi.org/10.1007/978-3-662-46224-9_22
Publication status	Published - 25.02.2015
Event	Workshop on Bildverarbeitung fur die Medizin 2015 - Universität zu Lübeck, Lübeck, Germany Duration: 15.03.2015 → 17.03.2015

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10.1007/978-3-662-46224-9_22

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@inproceedings{65d64073b6544d4d889158d21421552d,

title = "A Variational Method for Constructing Unbiased Atlas with Probabilistic Label Maps",

abstract = "We introduce a novel variational method based image registration and reconstruction to construct an average atlas with probabilistic label maps. The average atlas equipped with probabilistic label maps could be used to improve atlas based segmentation. In the experiment we validate the registration accuracy and the unbiasedness of atlas construction using clinical datasets.",

author = "Kanglin Chen and Alexander Derksen",

year = "2015",

month = feb,

day = "25",

doi = "10.1007/978-3-662-46224-9_22",

language = "English",

isbn = "978-3-662-46223-2",

series = "Informatik aktuell",

publisher = "Springer Berlin Heidelberg",

pages = "119--124",

editor = "Heinz Handels and Deserno, {Thomas Martin} and Hans-Peter Meinzer and Thomas Tolxdorff",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2015",

note = "Workshop on Bildverarbeitung fur die Medizin 2015 ; Conference date: 15-03-2015 Through 17-03-2015",

}

Chen, K & Derksen, A 2015, A Variational Method for Constructing Unbiased Atlas with Probabilistic Label Maps. in H Handels, TM Deserno, H-P Meinzer & T Tolxdorff (eds), Bildverarbeitung für die Medizin 2015. Informatik aktuell, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 119-124, Workshop on Bildverarbeitung fur die Medizin 2015, Lübeck, Germany, 15.03.15. https://doi.org/10.1007/978-3-662-46224-9_22

A Variational Method for Constructing Unbiased Atlas with Probabilistic Label Maps. / Chen, Kanglin ; Derksen, Alexander.
Bildverarbeitung für die Medizin 2015. ed. / Heinz Handels; Thomas Martin Deserno; Hans-Peter Meinzer; Thomas Tolxdorff. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. p. 119-124 (Informatik aktuell).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - A Variational Method for Constructing Unbiased Atlas with Probabilistic Label Maps

AU - Chen, Kanglin

AU - Derksen, Alexander

PY - 2015/2/25

Y1 - 2015/2/25

N2 - We introduce a novel variational method based image registration and reconstruction to construct an average atlas with probabilistic label maps. The average atlas equipped with probabilistic label maps could be used to improve atlas based segmentation. In the experiment we validate the registration accuracy and the unbiasedness of atlas construction using clinical datasets.

AB - We introduce a novel variational method based image registration and reconstruction to construct an average atlas with probabilistic label maps. The average atlas equipped with probabilistic label maps could be used to improve atlas based segmentation. In the experiment we validate the registration accuracy and the unbiasedness of atlas construction using clinical datasets.

UR - https://www.researchgate.net/publication/302285509_A_Variational_Method_for_Constructing_Unbiased_Atlas_with_Probabilistic_Label_Maps

U2 - 10.1007/978-3-662-46224-9_22

DO - 10.1007/978-3-662-46224-9_22

M3 - Conference contribution

SN - 978-3-662-46223-2

T3 - Informatik aktuell

SP - 119

EP - 124

BT - Bildverarbeitung für die Medizin 2015

A2 - Handels, Heinz

A2 - Deserno, Thomas Martin

A2 - Meinzer, Hans-Peter

A2 - Tolxdorff, Thomas

PB - Springer Berlin Heidelberg

CY - Berlin, Heidelberg

T2 - Workshop on Bildverarbeitung fur die Medizin 2015

Y2 - 15 March 2015 through 17 March 2015

ER -

A Variational Method for Constructing Unbiased Atlas with Probabilistic Label Maps

Abstract

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