Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI
Uus A, Steinweg JK, Ho A, Jackson LH, Hajnal JV, Rutherford MA, Deprez M, Hutter J (2020)
Publication Type: Conference contribution
Publication year: 2020
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 12437 LNCS
Pages Range: 222-232
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Lima, PER
ISBN: 9783030603335
DOI: 10.1007/978-3-030-60334-2_22
Abstract
In 4D T2* placental MRI studies, motion correction is generally considered a prerequisite for quantitative analysis. However, the existing approaches use only global spatio-temporal alignment based on the classical 3D nonrigid registration and do not correct inter-slice motion. Alignment of T2* and T2 volumes in one reference space could also address the limitation of low resolution of T2* stacks and allow analysis of finer anatomical features. This work introduces a novel pipeline for motion correction in 4D T2* and 3D T2*+T2 placental MRI datasets based on the deformable slice-to-volume registration (DSVR) method. The pipelines are evaluated on 60 T2* placental MRI datasets.
Involved external institutions
United Kingdom (GB)How to cite
APA:
Uus, A., Steinweg, J.K., Ho, A., Jackson, L.H., Hajnal, J.V., Rutherford, M.A.,... Hutter, J. (2020). Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI. In Yipeng Hu, Roxane Licandro, J. Alison Noble, Jana Hutter, Andrew Melbourne, Stephen Aylward, Esra Abaci Turk, Jordina Torrents Barrena, Jordina Torrents Barrena (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 222-232). Lima, PER: Springer Science and Business Media Deutschland GmbH.
MLA:
Uus, Alena, et al. "Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI." Proceedings of the 1st International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2020, and the 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, Lima, PER Ed. Yipeng Hu, Roxane Licandro, J. Alison Noble, Jana Hutter, Andrew Melbourne, Stephen Aylward, Esra Abaci Turk, Jordina Torrents Barrena, Jordina Torrents Barrena, Springer Science and Business Media Deutschland GmbH, 2020. 222-232.
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