@inproceedings{74726a2d20834f6aba5e9edc8491457f,
title = "Caesar: Segment-Wise Alignment Method for Solving Discontinuous Deformations",
abstract = "Images obtained from serial section electron microscopy can contain defects that create discontinuous tissue deformation. Fixing such defects during image registration is especially challenging, as classical block matching registration techniques assume smooth motion within each block, and ConvNet based registration techniques must rely on smoothness assumption during training. We propose Caesar, a divide-and-conquer technique that breaks registered images into segments, such that most of discontinuity is confined to segment boundaries. Then, we align the segments independently and stitch the results back together. We provide extensive experimental evaluation on brain tissue serial section microscopy data that shows that segment-wise alignment reduces the average misalignment area around defects by 6-10x.",
author = "Sergiy Popovych and {Alexander Bae}, J. and Seung, {H. Sebastian}",
note = "Funding Information: This work has been supported by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior/ Interior Business Center (DoI/IBC) contract number D16PC0005. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DoI/IBC, or the U.S. Government. We also want to thank Allen Institute for Brain Science for producing the data used in our experiments. Publisher Copyright: {\textcopyright} 2020 IEEE.; 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 ; Conference date: 03-04-2020 Through 07-04-2020",
year = "2020",
month = apr,
doi = "10.1109/ISBI45749.2020.9098363",
language = "English (US)",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "1214--1218",
booktitle = "ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging",
address = "United States",
}