A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology
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Abstract (arXiv)
The human thalamus is a brain structure that comprises numerous, highly specific nuclei. Since these nuclei are known to have different functions and to be connected to different areas of the cerebral cortex, it is of great interest for the neuroimaging community to study their volume, shape and connectivity in vivo with MRI. In this study, we present a probabilistic atlas of the thalamic nuclei built using ex vivo brain MRI scans and histological data, as well as the application of the atlas to in vivo MRI segmentation. The atlas was built using manual delineation of 26 thalamic nuclei on the serial histology of 12 whole thalami from six autopsy samples, combined with manual segmentations of the whole thalamus and surrounding structures (caudate, putamen, hippocampus, etc.) made on in vivo brain MR data from 39 subjects. The 3D structure of the histological data and corresponding manual segmentations was recovered using the ex vivo MRI as reference frame, and stacks of blockface photographs acquired during the sectioning as intermediate target. The atlas, which was encoded as an adaptive tetrahedral mesh, shows a good agreement with with previous histological studies of the thalamus in terms of volumes of representative nuclei. When applied to segmentation of in vivo scans using Bayesian inference, the atlas shows excellent test-retest reliability, robustness to changes in input MRI contrast, and ability to detect differential thalamic effects in subjects with Alzheimer's disease. The probabilistic atlas and companion segmentation tool are publicly available as part of the neuroimaging package FreeSurfer.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Jun 2018.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 1; 2024: 4; 2025: 2.
10 papers.
- 2021SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retrainingcited by 235
- 2022Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasetscited by 50
- 2021Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlascited by 4
- 2024H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentationcited by 1
- 2025Comprehensive segmentation of deep grey nuclei from structural MRI datacited by 1
- 2023Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRIcited by 0
- 2024DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRIcited by 0
- 2024Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementiascited by 0
- 2024High-resolution segmentations of the hypothalamus and its subregions for training of segmentation modelscited by 0
- 2025Segmenting Thalamic Nuclei: T1 Maps Provide a Reliable and Efficient Solutioncited by 0
- 2025Segmenting Thalamic Nuclei: T1 Maps Provide a Reliable and Efficient Solution17 Aug 2025
- 2025Comprehensive segmentation of deep grey nuclei from structural MRI data27 Mar 2025
- 2024High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models27 Jun 2024
- 2024Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementias28 Mar 2024
- 2024H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation30 Jan 2024
- 2024DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI15 Jan 2024
- 2023Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI5 May 2023
- 2022Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets5 Sep 2022
- 2021SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining20 Jul 2021
- 2021Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas30 Apr 2021