3D-Guided Backward Iterative Structural Refinement for Histology-to-MRI Registration

Qitai Sun, Xiao Li, Han Zhang, Chenjie Jia, Xiaowei He, Tuo Zhang, Yudan Ren

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Histology-to-MRI volume registration is an important preprocessing procedure in brain structure quantification, brain structure mapping, and pathological research of brain diseases. However, there are still many challenges preventing precise registration, especially the complex deformation of slices during sectioning, distinct modality of images and sparse slices intervals. To improve registration accuracy, a 3D-guided backward iterative structural refinement registration method is proposed in this paper. Inspired by the thought of the back-propagation algorithm, this method indirectly obtains the structural information during each registration iteration, continuously finetunes the registration results, and successively achieves improvement in registration accuracy. According to several validation and contrast experiments, this method is demonstrated to be robust and effective. This method can be widely applied in solving histology-to-MRI registration problem.

源语言英语
主期刊名IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings
出版商IEEE Computer Society
ISBN(电子版)9798350313338
DOI
出版状态已出版 - 2024
活动21st IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Athens, 希腊
期限: 27 5月 202430 5月 2024

出版系列

姓名Proceedings - International Symposium on Biomedical Imaging
ISSN(印刷版)1945-7928
ISSN(电子版)1945-8452

会议

会议21st IEEE International Symposium on Biomedical Imaging, ISBI 2024
国家/地区希腊
Athens
时期27/05/2430/05/24

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