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 publicationInformatik aktuell
PublisherSpringer International Publishing
Publication date01.01.2015
Publication statusPublished - 01.01.2015

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