A Variational Method for Contructing Unbiased Atlas with Probabilistic Label Maps

Kanglin Chen*, Alexander Derksen

*Corresponding author for this work


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 languageEnglish
Title of host publicationBildverarbeitung für die Medizin 2015 : Informatik aktuell
PublisherSpringer Vieweg, Berlin Heidelberg
Publication date01.01.2015
Publication statusPublished - 01.01.2015
EventWorkshop on Bildverarbeitung fur die Medizin 2015 - Universität zu Lübeck, Lübeck, Germany
Duration: 15.03.201517.03.2015

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