Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
368-02-005 ISMRM Abstract

A neural shape model trained on 4,789 computed tomography vertebrae improves clinical magnetic resonance shape reconstruction

Primary: Musculoskeletal - Bone
Secondary: Analysis Methods - Generative Models
368-02-005 · Segmentation for Musculoskeletal MRI Applications · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row I
Keywords: Multimodal imaging Neural shape model Vertebrae Bone shape 3D Shape
Accepted
Kathryn R Marusich 1, Garry E Gold2, Akshay Chaudhari2,3, Anthony A Gatti2
1Department of Mechanical Engineering, Stanford University, Stanford, United States of America
2Department of Radiology, Stanford University, Stanford, United States of America
3Biomedical Data Science, Stanford University, Stanford, United States of America
Presenting Author: Kathryn R Marusich

Synopsis

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References

1. Smith-Bindman R, Chu PW, Azman Firdaus H, Stewart C, Malekhedayat M, Alber S, et al. Projected Lifetime Cancer Risks From Current Computed Tomography Imaging. JAMA Intern Med. 2025 Jun 1;185(6):710. doi:10.1001/jamainternmed.2025.0505 [doi]
2. Gatti AA, Blankemeier L, Van Veen D, Hargreaves B, Delp SL, Gold GE, et al. ShapeMed-Knee: A Dataset and Neural Shape Model Benchmark for Modeling 3D Femurs. IEEE Trans Med Imaging. 2025 Mar;44(3):1140–52. doi:https://doi.org/10.1101/2024.05.06.24306965 [doi]
3. Wasserthal J, Breit HC, Meyer MT, et al. TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. Radiology: Artificial Intelligence. 2023;5(5):e230024. doi:10.1148/ryai.230024 [doi]
4. Warszawer Y, Molinier N, Valošek J, Shirbint E, et al. Fully Automatic Vertebrae and Spinal Cord Segmentation Using a Hybrid Approach Combining nnU-Net and Iterative Algorithm. Proceedings of the 32th Annual Meeting of ISMRM. 2024
5. Gatti AA. pymskt (Musculoskeletal Toolkit). https://github.com/gattia/pymskt

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/368-02-005