## Synthetic data generation for optical flow evaluation in the neurosurgical domain

2021
##### Authors
Philipp, Markus
Bacher, Neal
Nienhaus, Jonas
Hauptmann, Lars
Lang, Laura
Gutt-Will, Marielena
Mathis, Andrea
Saur, Stefan
Raabe, Andreas
Journal article
Published
##### Published in
Current Directions in Biomedical Engineering ; 7 (2021), 1. - pp. 67-71. - De Gruyter. - eISSN 2364-5504
##### Abstract
Towards computer-assisted neurosurgery, scene understanding algorithms for microscope video data are required. Previous work utilizes optical flow to extract spatiotemporal context from neurosurgical video sequences. However, to select an appropriate optical flow method, we need to analyze which algorithm yields the highest accuracy for the neurosurgical domain. Currently, there are no benchmark datasets available for neurosurgery. In our work, we present an approach to generate synthetic data for optical flow evaluation on the neurosurgical domain. We simulate image sequences and thereby take into account domainspecific visual conditions such as surgical instrument motion. Then, we evaluate two optical flow algorithms, Farneback and PWC-Net, on our synthetic data. Qualitative and quantitative assessments confirm that our data can be used to evaluate optical flow for the neurosurgical domain. Future work will concentrate on extending the method by modeling additional effects in neurosurgery such as elastic background motion.
##### Subject (DDC)
004 Computer Science
##### Keywords
Neurosurgery, surgical microscope, optical flow, evaluation
##### Cite This
ISO 690PHILIPP, Markus, Neal BACHER, Jonas NIENHAUS, Lars HAUPTMANN, Laura LANG, Anna ALPEROVICH, Marielena GUTT-WILL, Andrea MATHIS, Stefan SAUR, Andreas RAABE, Franziska MATHIS-ULLRICH, 2021. Synthetic data generation for optical flow evaluation in the neurosurgical domain. In: Current Directions in Biomedical Engineering. De Gruyter. 7(1), pp. 67-71. eISSN 2364-5504. Available under: doi: 10.1515/cdbme-2021-1015
BibTex
@article{Philipp2021-08-27Synth-56384,
year={2021},
doi={10.1515/cdbme-2021-1015},
title={Synthetic data generation for optical flow evaluation in the neurosurgical domain},
number={1},
volume={7},
journal={Current Directions in Biomedical Engineering},
pages={67--71},
author={Philipp, Markus and Bacher, Neal and Nienhaus, Jonas and Hauptmann, Lars and Lang, Laura and Alperovich, Anna and Gutt-Will, Marielena and Mathis, Andrea and Saur, Stefan and Raabe, Andreas and Mathis-Ullrich, Franziska}
}

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