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arXiv · 2411.10755

Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients

Maria Monzon·Thomas Iff·Ender Konukoglu·Catherine R. Jutzeler
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Abstract

This study introduces a diffusion-based framework for robust and accurate segmenton of vertebrae, intervertebral discs (IVDs), and spinal canal from Magnetic Resonance Imaging~(MRI) scans of patients with low back pain (LBP), regardless of whether the scans are T1w or T2-weighted. The results showed that SpineSegDiff achieved comparable outperformed non-diffusion state-of-the-art models in the identification of degenerated IVDs. Our findings highlight the potential of diffusion models to improve LBP diagnosis and management through precise spine MRI analysis.

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Maria Monzon, Thomas Iff, Ender Konukoglu, Catherine R. Jutzeler. 2024-11-16. Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients. https://arxiv.org/abs/2411.10755

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