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

^*Korrespondierende/r Autor/-in für diese Arbeit

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.

Originalsprache	Englisch
Titel	Bildverarbeitung für die Medizin 2015 : Informatik aktuell
Herausgeber (Verlag)	Springer Vieweg, Berlin Heidelberg
Erscheinungsdatum	01.01.2015
Seiten	119-124
Publikationsstatus	Veröffentlicht - 01.01.2015
Veranstaltung	Workshop on Bildverarbeitung fur die Medizin 2015 - Universität zu Lübeck, Lübeck, Deutschland Dauer: 15.03.2015 → 17.03.2015

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Andere Dateien und Links

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

Zitieren

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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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pages = "119--124",

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

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AU - Derksen, Alexander

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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.

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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 -