A correction model based on BP neural network for MRI geometric distortions

Pengfei Xu, Jichang Zhang, Zhen Nan, Jie Zeng, Yulin Wang, Xinpei Wang, Chendie Yao, Chengbo Wang

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

Abstract

Magnetic resonance imaging (MRI) suffers the geometrical distortion caused by gradient non-linearity, which is because of the imperfection of the hardware, such as gradient coil. The traditional correction method employs spherical harmonic function to calculate position of each voxel. However, the spherical harmonic function is constructed based on gradient coil design information, such as magnetic field distribution, which is hard to obtain for users and some venders who use commercial coils. Since the gradient field distribution is not provided by our coil supplier, this paper applied BP (back propagation) neural network to correct image distortions. Compared with traditional technique, the method proposed in this paper is able to correct distortions simply without using gradient coil information. The method calculated the real and practical position of landmark points that are selected as train dataset based on phantom structure. After training, the full image pixel coordinates could be calculated by trained neural network model. Interpolation was used to calculate the image intensity after position correction. Great improvement has been observed in each direction after correction. The correction method can be practically useful.

Original languageEnglish
Title of host publicationBIBE 2022 - 6th International Conference on Biological Information and Biomedical Engineering
EditorsBin Chen
PublisherVDE Verlag GmbH
Pages1-4
Number of pages4
ISBN (Electronic)9783800759651
Publication statusPublished - 2022
Event6th International Conference on Biological Information and Biomedical Engineering, BIBE 2022 - Virtual, Online
Duration: 19 Jul 202220 Jul 2022

Publication series

NameBIBE 2022 - 6th International Conference on Biological Information and Biomedical Engineering

Conference

Conference6th International Conference on Biological Information and Biomedical Engineering, BIBE 2022
CityVirtual, Online
Period19/07/2220/07/22

ASJC Scopus subject areas

  • Health Informatics
  • Biotechnology
  • Computer Science Applications
  • Biomedical Engineering

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