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.
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Chen, K., Derksen, A. (2015). A Variational Method for Constructing Unbiased Atlas with Probabilistic Label Maps. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_22
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DOI: https://doi.org/10.1007/978-3-662-46224-9_22
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