@inproceedings{53c15b478b954584ae83ae3870c6ce15,
title = "An image registration framework for discontinuous mappings along cracks",
abstract = "A novel crack capable image registration framework is proposed. The approach is designed for registration problems suffering from cracks, gaps, or holes. The approach enables discontinuous transformation fields and also features an automatically computed crack indicator function and therefore does not require a pre-segmentation. The new approach is a generalization of the commonly used variational image registration approach. New contributions are an additional dissipation term in the overall energy, a proper balancing of different ingredients, and a joint optimization for both, the crack indicator function and the transformation. Results for histological serial sectioning of marmoset brain images demonstrate the potential of the approach and its superiority as compared to a standard registration.",
keywords = "Cracks, Digital pathology, Discontinuous deformations, Histology, Holes, Image registration, Non-smooth deformations",
author = "Aggrawal, {Hari Om} and Andersen, {Martin S.} and Jan Modersitzki",
year = "2020",
month = jan,
day = "1",
doi = "10.1007/978-3-030-50120-4_16",
language = "English",
isbn = "9783030501198",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "163--173",
editor = "Ziga Spiclin and Jamie McClelland and Jan Kybic and Orcun Goksel",
booktitle = "Biomedical Image Registration",
note = "9<sup>th</sup> International Workshop on Biomedical Image Registration, WBIR 2020 ; Conference date: 02-12-2020 Through 02-12-2020",
}