An image registration framework for discontinuous mappings along cracks

Hari Om Aggrawal*, Martin S. Andersen, Jan Modersitzki

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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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.

Original languageEnglish
Title of host publicationBiomedical Image Registration
EditorsZiga Spiclin, Jamie McClelland, Jan Kybic, Orcun Goksel
PublisherSpringer
Publication date1 Jan 2020
Pages163-173
ISBN (Print)9783030501198
DOIs
Publication statusPublished - 1 Jan 2020
Event9th International Workshop on Biomedical Image Registration - Virtual event, Portorož , Slovenia
Duration: 2 Dec 20202 Dec 2020

Conference

Conference9th International Workshop on Biomedical Image Registration
LocationVirtual event
CountrySlovenia
CityPortorož
Period02/12/202002/12/2020
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12120 LNCS
ISSN0302-9743

Keywords

  • Cracks
  • Digital pathology
  • Discontinuous deformations
  • Histology
  • Holes
  • Image registration
  • Non-smooth deformations

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