Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation

Heng Li, Haofeng Liu, Xiaoxuan Wang, Chenlang Yi, Hao Chen, Yan Hu, Jiang Liu

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Image-to-image (I2I) translation is a popular paradigm in domain adaptation (DA), and has been frequently used to address the lack of labeled data. However, as a result of the sample bias in medical data caused by the attributes of imaging modality or pathology, the I2I translation based DA always suffers from synthesis artifacts. For boosting the DA in medical scenarios, a sample alignment algorithm is proposed to correct the sample bias in medical data. Specifically, diffeomorphic transformation and symmetric resampling are employed to implement the sample alignment. The topological structure in medical samples is first aligned using diffeomorphic transformation. Then paired image data are collected from the aligned samples by symmetric resampling to train the I2I translation models. In the experiment, the proposed algorithm was applied to boost the DA of cross-modality data and pathological ones. Our algorithm not only improved the quality of synthesized images, but also promoted the DA of diagnosis models learned from synthesized data.

Original languageEnglish
Title of host publicationISBI 2022 - Proceedings
Subtitle of host publication2022 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
ISBN (Electronic)9781665429238
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event19th IEEE International Symposium on Biomedical Imaging, ISBI 2022 - Kolkata, India
Duration: 28 Mar 202231 Mar 2022

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2022-March
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference19th IEEE International Symposium on Biomedical Imaging, ISBI 2022
Country/TerritoryIndia
CityKolkata
Period28/03/2231/03/22

Keywords

  • Domain adaptation
  • image-to-image translation
  • sample alignment
  • sample bias

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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