Temporal Registration in In-Utero Volumetric MRI Time Series
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9902)
| Main Authors: | , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Book |
| Language: | English |
| Published: |
Springer International Publishing
2021
|
| Online Access: | https://hdl.handle.net/1721.1/129374 |
| _version_ | 1826194277936398336 |
|---|---|
| author | Liao, Ruizhi Turk, Esra Abaci Zhang, Miaomiao Luo, Jie Grant, P. Ellen Adalsteinsson, Elfar Golland, Polina |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Liao, Ruizhi Turk, Esra Abaci Zhang, Miaomiao Luo, Jie Grant, P. Ellen Adalsteinsson, Elfar Golland, Polina |
| author_sort | Liao, Ruizhi |
| collection | MIT |
| description | Part of the Lecture Notes in Computer Science book series (LNCS, volume 9902) |
| first_indexed | 2024-09-23T09:53:36Z |
| format | Book |
| id | mit-1721.1/129374 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T09:53:36Z |
| publishDate | 2021 |
| publisher | Springer International Publishing |
| record_format | dspace |
| spelling | mit-1721.1/1293742022-09-30T17:31:37Z Temporal Registration in In-Utero Volumetric MRI Time Series Liao, Ruizhi Turk, Esra Abaci Zhang, Miaomiao Luo, Jie Grant, P. Ellen Adalsteinsson, Elfar Golland, Polina Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Part of the Lecture Notes in Computer Science book series (LNCS, volume 9902) We present a robust method to correct for motion and deformations in in-utero volumetric MRI time series. Spatio-temporal analysis of dynamic MRI requires robust alignment across time in the presence of substantial and unpredictable motion. We make a Markov assumption on the nature of deformations to take advantage of the temporal structure in the image data. Forward message passing in the corresponding hidden Markov model (HMM) yields an estimation algorithm that only has to account for relatively small motion between consecutive frames. We demonstrate the utility of the temporal model by showing that its use improves the accuracy of the segmentation propagation through temporal registration. Our results suggest that the proposed model captures accurately the temporal dynamics of deformations in in-utero MRI time series. NIH (Grants P41EB015902, U01HD087211, R01EB017337) 2021-01-11T20:13:57Z 2021-01-11T20:13:57Z 2016 2019-04-25T17:18:20Z Book http://purl.org/eprint/type/JournalArticle 9783319467252 9783319467269 0302-9743 1611-3349 https://hdl.handle.net/1721.1/129374 Liao, Ruizhi et al. "Temporal Registration in In-Utero Volumetric MRI Time Series." MICCAI 2016: Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, 9902, Springer, 2016, 54-62. © 2016 Springer International Publishing en http://dx.doi.org/10.1007/978-3-319-46726-9_7 Lecture Notes in Computer Science Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer International Publishing PMC |
| spellingShingle | Liao, Ruizhi Turk, Esra Abaci Zhang, Miaomiao Luo, Jie Grant, P. Ellen Adalsteinsson, Elfar Golland, Polina Temporal Registration in In-Utero Volumetric MRI Time Series |
| title | Temporal Registration in In-Utero Volumetric MRI Time Series |
| title_full | Temporal Registration in In-Utero Volumetric MRI Time Series |
| title_fullStr | Temporal Registration in In-Utero Volumetric MRI Time Series |
| title_full_unstemmed | Temporal Registration in In-Utero Volumetric MRI Time Series |
| title_short | Temporal Registration in In-Utero Volumetric MRI Time Series |
| title_sort | temporal registration in in utero volumetric mri time series |
| url | https://hdl.handle.net/1721.1/129374 |
| work_keys_str_mv | AT liaoruizhi temporalregistrationininuterovolumetricmritimeseries AT turkesraabaci temporalregistrationininuterovolumetricmritimeseries AT zhangmiaomiao temporalregistrationininuterovolumetricmritimeseries AT luojie temporalregistrationininuterovolumetricmritimeseries AT grantpellen temporalregistrationininuterovolumetricmritimeseries AT adalsteinssonelfar temporalregistrationininuterovolumetricmritimeseries AT gollandpolina temporalregistrationininuterovolumetricmritimeseries |