Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
352-02-008 / 352-02-008 ISMRM Abstract

SpineLabelNet: Vertebrae Labelling on Spine MRI 2D Localizers

Primary: Analysis Methods - Segmentation and Detection
Secondary: Musculoskeletal - Bone
352-02-008 · Segmentation: Automated, Scalable, and Clinically Oriented MRI Analysis · Monday, 11 May, 1:50 PM–3:26 PM · Power Pitch Theatre 2
352-02-008 · Segmentation: Automated, Scalable, and Clinically Oriented MRI Analysis · Monday, 11 May, 1:50 PM–3:26 PM · Power Pitch Theatre 2
Keywords: Correction algorithm Clinical Workflow Optimization Vertebral Labelling Automation Deep Learning in Medical Imaging 3D spine curve
Accepted
Ashish Saxena 1, Chitresh Bhushan2, Dattesh Dayanand Shanbhag1
1GE HealthCare, Bengaluru, India
2GE HealthCare Technology and Innovation Center, Niskayuna, United States of America
Presenting Author: Ashish Saxena

Synopsis

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References

1. Windsor, Rhydian, et al. "Automated detection, labelling and radiological grading of clinical spinal MRIs." Scientific Reports 14.1 (2024): 14993.
2. Mondal, Shyamal, et al. "Implementing W-Net deep learning for terahertz image enhancement and segmentation." Engineering Research Express 7.1 (2025): 015246.
3. Cao, Ruiming, et al. "Joint prostate cancer detection and Gleason score prediction in mp-MRI via FocalNet." IEEE transactions on medical imaging 38.11 (2019): 2496-2506.
4. Audebert, Nicolas, et al. "Distance transform regression for spatially-aware deep semantic segmentation." Computer Vision and Image Understanding 189 (2019): 102809.
5. Muggeo, Vito MR. "Estimating regression models with unknown break‐points." Statistics in medicine 22.19 (2003): 3055-3071.
6. Hastie, T., Tibshirani, R., Friedman, J., & Franklin, J. (2005). The elements of statistical learning: data mining, inference and prediction. The Mathematical Intelligencer, 27(2), 83-85.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/352-02-008