Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
508-02-005 ISMRM Abstract

End-to-End Framework for Real-Time Image Reconstruction, Device and Tissue Tracking in MRI-Guided Liver Interventions

Primary: Interventional - MR-Guided Interventions
Secondary: Acquisition & Reconstruction - Subsampling: Parallel imaging, compressed sensing and low-rank modeling
508-02-005 · Novel Reconstruction Techniques for Fast Imaging · Wednesday, 13 May, 8:20 AM–10:10 AM · Meeting Room 1.60
Keywords: MR-Guided Interventions Software Tools Dynamic MRI Reconstruction Device Tracking Motion Tracking
Accepted
Wenqi Zhou1,2, Qing Dai1, Christina R Kerr3, Shu-Fu Shih 1, Timoteo I Delgado1, Tsu-Chin Tsao4, David S Lu1, Jason Chiang1, Holden H Wu1,2
1David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States of America
2Department of Bioengineering, Samueli School of Engineering, University of California Los Angeles, Los Angeles, United States of America
3Department of Electrical and Computer Engineering, University of California Los Angeles, Los Angeles, United States of America
4Department of Mechanical and Aerospace Engineering, University of California Los Angeles, Los Angeles, United States of America
Presenting Author: Shu-Fu Shih

Synopsis

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References

1. Safari M, Eidex Z, Chang C-W, et al (2024) Fast MRI Reconstruction Using Deep Learning-based Compressed Sensing: A Systematic Review. ArXiv arXiv:2405.00241v1
2. Nayak KS, Lim Y, Campbell-Washburn AE, Steeden J (2022) Real-Time Magnetic Resonance Imaging. J Magn Reson Imaging 55:81–99. https://doi.org/10.1002/jmri.27411 [doi]
3. Busse H, Kahn T, Moche M (2018) Techniques for Interventional MRI Guidance in Closed-Bore Systems. Topics in Magnetic Resonance Imaging 27:9. https://doi.org/10.1097/RMR.0000000000000150 [doi]
4. Zijlstra F, Viergever MA, Seevinck PR (2019) SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions. Physica Medica 64:252–260. https://doi.org/10.1016/j.ejmp.2019.07.019 [doi]
5. Weiss J, Hoffmann R, Clasen S (2018) MR-Guided Liver Interventions. Topics in Magnetic Resonance Imaging 27:163. https://doi.org/10.1097/RMR.0000000000000146 [doi]
6. Huang S, Lou C, Zhou Y, et al (2023) MRI-guided robot intervention—current state-of-the-art and new challenges. Med-X 1:4. https://doi.org/10.1007/s44258-023-00003-1 [doi]
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8. Hansen MS, Sørensen TS (2013) Gadgetron: An open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69:1768–1776. https://doi.org/10.1002/mrm.24389 [doi]
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10. Zhou W, Dai Q, Curiel O, Lu DS, Chiang J, Tsao T-C, Wu HH (2025) 3D Keypoint-Based Neural Network for Rapid Needle Localization on Multislice 2D MRI. Proceedings of 34th Annual Meeting of ISMRM, 2025, p.2040
11. Maier O, Baete SH, Fyrdahl A, et al (2021) CG-SENSE revisited: Results from the first ISMRM reproducibility challenge. Magn Reson Med 85:1821–1839. https://doi.org/10.1002/mrm.28569 [doi]
12. Kale K, Pawar S, Dhulekar P (2015) Moving object tracking using optical flow and motion vector estimation. In: 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions). pp 1–6

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/508-02-005