TY - GEN
T1 - 3D-Guided Backward Iterative Structural Refinement for Histology-to-MRI Registration
AU - Sun, Qitai
AU - Li, Xiao
AU - Zhang, Han
AU - Jia, Chenjie
AU - He, Xiaowei
AU - Zhang, Tuo
AU - Ren, Yudan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - histological slices
KW - histology-to-MRI registration
KW - Image registration
KW - MRI structure volume
UR - http://www.scopus.com/inward/record.url?scp=85203378335&partnerID=8YFLogxK
U2 - 10.1109/ISBI56570.2024.10635230
DO - 10.1109/ISBI56570.2024.10635230
M3 - 会议稿件
AN - SCOPUS:85203378335
T3 - Proceedings - International Symposium on Biomedical Imaging
BT - IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings
PB - IEEE Computer Society
T2 - 21st IEEE International Symposium on Biomedical Imaging, ISBI 2024
Y2 - 27 May 2024 through 30 May 2024
ER -