A Variational Method for Contructing Unbiased Atlas with Probabilistic Label Maps

Kanglin  Chen; Alexander Derksen

A Variational Method for Contructing Unbiased Atlas with Probabilistic Label Maps

Kanglin Chen^*, Alexander Derksen

^*Corresponding author for this work

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 : Informatik aktuell
Publisher	Springer Vieweg, Berlin Heidelberg
Publication date	01.01.2015
Pages	119-124
Publication status	Published - 01.01.2015
Event	Workshop on Bildverarbeitung fur die Medizin 2015 - Universität zu Lübeck, Lübeck, Germany Duration: 15.03.2015 → 17.03.2015

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Cite this

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title = "A Variational Method for Contructing 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",

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language = "English",

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

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

AU - Chen, Kanglin

AU - Derksen, Alexander

PY - 2015/1/1

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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://link.springer.com/chapter/10.1007/978-3-662-46224-9_22

M3 - Conference contribution

SP - 119

EP - 124

BT - Bildverarbeitung für die Medizin 2015

PB - Springer Vieweg, Berlin Heidelberg

T2 - Workshop on Bildverarbeitung fur die Medizin 2015

Y2 - 15 March 2015 through 17 March 2015

ER -

A Variational Method for Contructing Unbiased Atlas with Probabilistic Label Maps

Abstract

UN SDGs

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