530-02-002 ISMRM Abstract

Test Time Adapted Generalized AI-based Medical Image Registration Method

Primary: Analysis Methods - Image Registration and Alignment

Secondary: Analysis Methods

530-02-002 · Registration, Atlases, and Motion · Wednesday, 13 May, 8:20 AM–10:10 AM · Meeting Room 2.60

Keywords: Deep learning image registration Non-rigid registration (NRR) Test-time adaptation (TTA)

Accepted

Sneha Sree C¹, Dattesh Dayanand Shanbhag ¹, SUDHANYA Chatterjee¹

¹GE HealthCare, Bengaluru, India

Presenting Author: Dattesh Dayanand Shanbhag

Synopsis

Motivation:

Goals:

Approach:

Results:

Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

References

1. M. Hoffmann et al., "SynthMorph: Learning contrast-invariant registration without acquired images," *IEEE Transactions on Medical Imaging*, vol. 41, no. 3, pp. 543–558, Mar. 2022. doi:10.1109/TMI.2021.3116879 [doi]

2. C. Liu et al., "Multimodal medical image registration via common representations learning and differentiable geometric constraints," *Electronics Letters*, vol. 54, no. 24, pp. 1406–1408, Dec. 2018. https://doi.org/10.1049/el.2018.6713 [doi]

3. Zhang, Y. et al., 2021. GroupRegNet: A groupwise one-shot deep learning-based 4D image registration method. Physics in Medicine & Biology, 66(4), Article 045030. PMID: 33412539 [pmid]

4. Ma, T. et al., 2024. IIRP-Net: Iterative inference residual pyramid network for enhanced image registration. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.11546–11555. doi:10.1109/CVPR52733.2024.01097 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/530-02-002