English

Optimal operating MR contrast for brain ventricle parcellation

Image and Video Processing 2023-04-06 v1
Authors: Savannah P. Hays , Lianrui Zuo , Yuli Wang , Mark G. Luciano , Aaron Carass , Jerry L. Prince
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Abstract

Development of MR harmonization has enabled different contrast MRIs to be synthesized while preserving the underlying anatomy. In this paper, we use image harmonization to explore the impact of different T1-w MR contrasts on a state-of-the-art ventricle parcellation algorithm VParNet. We identify an optimal operating contrast (OOC) for ventricle parcellation; by showing that the performance of a pretrained VParNet can be boosted by adjusting contrast to the OOC.

Cite

@article{arxiv.2304.02056,
  title  = {Optimal operating MR contrast for brain ventricle parcellation},
  author = {Savannah P. Hays and Lianrui Zuo and Yuli Wang and Mark G. Luciano and Aaron Carass and Jerry L. Prince},
  journal= {arXiv preprint arXiv:2304.02056},
  year   = {2023}
}

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R2 v1 2026-06-28T09:49:44.373Z