Conference item
3D spine shape estimation from single 2D DXA
- Abstract:
- Scoliosis is currently assessed solely on 2D lateral deviations, but recent studies have also revealed the importance of other imaging planes in understanding the deformation of the spine. Consequently, extracting the spinal geometry in 3D would help quantify these spinal deformations and aid diagnosis. In this study, we propose an automated general framework to estimate the 3D spine shape from 2D DXA scans. We achieve this by explicitly predicting the sagittal view of the spine from the DXA scan. Using these two orthogonal projections of the spine (coronal in DXA, and sagittal from the prediction), we are able to describe the 3D shape of the spine. The prediction is learnt from over 30k paired images of DXA and MRI scans. We assess the performance of the method on a held out test set, and achieve high accuracy (Our code is available at https://www.robots.ox.ac.uk/~vgg/research/dxa-to-3d/index.html).
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 10.9MB, Terms of use)
-
- Publisher copy:
- 10.1007/978-3-031-72086-4_1
Authors
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/T028572/1
- Publisher:
- Springer
- Host title:
- Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 27th International Conference, Marrakesh, Morocco, October 6–10, 2024, Proceedings, Part V
- Pages:
- 3-13
- Series:
- Lecture Notes in Computer Science
- Series number:
- 15005
- Publication date:
- 2024-10-04
- Acceptance date:
- 2024-09-18
- Event title:
- 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024)
- Event location:
- Marrakesh, Morocco
- Event website:
- https://conferences.miccai.org/2024/
- Event start date:
- 2024-10-06
- Event end date:
- 2024-10-10
- DOI:
- EISSN:
-
1611-3349
- ISSN:
-
0302-9743
- EISBN:
- 9783031720864
- ISBN:
- 9783031720857
- Language:
-
English
- Keywords:
- Pubs id:
-
2081002
- Local pid:
-
pubs:2081002
- Deposit date:
-
2025-01-28
Terms of use
- Copyright holder:
- Bourigault et al.
- Copyright date:
- 2024
- Rights statement:
- © 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
- Notes:
- This paper was presented at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024), 6th-10th October, Marrakesh, Morocco. This is the accepted manuscript version of the article. The final version is available online from Springer at https://dx.doi.org/10.1007/978-3-031-72086-4_1
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