August 14, 2024

Robust thalamic nuclei segmentation from T1 MRI data

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Resumen

This work presents a methodology for thalamic nuclei segmentation from T1w MRI. Thalamus Optimized Multi-Atlas Segmentation (THOMAS), which was originally developed for white-matter nulled (WMn) MPRAGE, is adapted for standard T1 MRI by employing synthesis techniques to make the T1 images closer to WMn contrast. Robustness is tested across image contrast, MRI manufacturer, and field strength.

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Vidal et al. (Wed,) studied this question.

synapsesocial.com/papers/68e5c61db6db64358755c52e https://doi.org/https://doi.org/10.58530/2023/3591

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1Thalamic nuclei segmentation from T1-weighted MRI: Unifying and benchmarking state-of-the-art methods2024 · 18 citations
2Segmenting Thalamic Nuclei: T1 Maps Provide a Reliable and Efficient Solution2025
3Multi-parametric characterization of thalamic nuclei based on manual delineation using the Synthetic MPRAGE images2024
4Toward Reliable Thalamic Segmentation: a rigorous evaluation of automated methods for structural MRI2025 · 1 citations
5Human brain thalamic nuclei segmentation: compressed-sensing effects on 3D MPRAGE variants2024

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