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

Institut für Mathematische Methoden der Bildverarbeitung

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	Informatik aktuell
Herausgeber (Verlag)	Springer International Publishing
Erscheinungsdatum	01.01.2015
Publikationsstatus	Veröffentlicht - 01.01.2015

UN SDGs

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

SDG 9 – Industrie, Innovation und Infrastruktur

Zitieren

@inproceedings{e8c636bdf38c4aaa91484b6d57be730a,

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",

month = jan,

day = "1",

language = "English",

series = "Informatik aktuell",

publisher = "Springer International Publishing",

booktitle = "Informatik aktuell",

}

TY - GEN

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

AU - Chen, Kanglin

AU - Derksen, Alexander

PY - 2015/1/1

Y1 - 2015/1/1

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.

M3 - Conference contribution

T3 - Informatik aktuell

BT - Informatik aktuell

PB - Springer International Publishing

ER -