Thalamic nuclei segmentation using tractography, population-specific priors and local fibre orientation

Carla Semedo; M. Jorge Cardoso; Sjoerd B. Vos; Carole H. Sudre; Martina Bocchetta; Annemie Ribbens; Dirk Smeets; Jonathan D. Rohrer; Sebastien Ourselin

doi:10.1007/978-3-030-00931-1_44

Thalamic nuclei segmentation using tractography, population-specific priors and local fibre orientation

Carla Semedo^*, M. Jorge Cardoso, Sjoerd B. Vos, Carole H. Sudre, Martina Bocchetta, Annemie Ribbens, Dirk Smeets, Jonathan D. Rohrer, Sebastien Ourselin

^*Corresponding author for this work

Research output: Contribution to journal › Conference paper › peer-review

3 Citations (Scopus)

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Abstract

The thalamus is a deep grey matter structure that plays an important role in propagating nerve impulses between subcortical regions and the cerebral cortex. It is composed of distinct nuclei that have unique long-range connectivity. Accurate thalamic nuclei segmentation provides insights about structural connectivity and the neurodegeneration mechanisms occurring in distinct brain disorders, for instance Alzheimer’s disease and Frontotemporal dementia (FTD). In this work, we propose a novel thalamic nuclei segmentation approach that relies on tractography, thalamic nuclei priors and local fibre orientation. Validation was performed in a cohort of healthy controls and FTD patients against other thalamus connectivity-based parcellation methods. Results showed that the proposed strategy led to anatomical plausible thalamic nuclei segmentations and was able to detect connectivity differences between controls and FTD patients.

Original language	English
Pages (from-to)	383-391
Number of pages	9
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Early online date	13 Sept 2018
DOIs	https://doi.org/10.1007/978-3-030-00931-1_44
Publication status	Published - 2018
Event	21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spain Duration: 16 Sept 2018 → 20 Sept 2018

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Thalamic nuclei segmentation using_SEMEDO_Firstonline13September2018_GREEN AAMAccepted author manuscript, 801 KB

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Semedo, C., Cardoso, M. J., Vos, S. B., Sudre, C. H., Bocchetta, M., Ribbens, A., Smeets, D., Rohrer, J. D., & Ourselin, S. (2018). Thalamic nuclei segmentation using tractography, population-specific priors and local fibre orientation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 383-391. https://doi.org/10.1007/978-3-030-00931-1_44

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title = "Thalamic nuclei segmentation using tractography, population-specific priors and local fibre orientation",

abstract = "The thalamus is a deep grey matter structure that plays an important role in propagating nerve impulses between subcortical regions and the cerebral cortex. It is composed of distinct nuclei that have unique long-range connectivity. Accurate thalamic nuclei segmentation provides insights about structural connectivity and the neurodegeneration mechanisms occurring in distinct brain disorders, for instance Alzheimer{\textquoteright}s disease and Frontotemporal dementia (FTD). In this work, we propose a novel thalamic nuclei segmentation approach that relies on tractography, thalamic nuclei priors and local fibre orientation. Validation was performed in a cohort of healthy controls and FTD patients against other thalamus connectivity-based parcellation methods. Results showed that the proposed strategy led to anatomical plausible thalamic nuclei segmentations and was able to detect connectivity differences between controls and FTD patients.",

author = "Carla Semedo and Cardoso, {M. Jorge} and Vos, {Sjoerd B.} and Sudre, {Carole H.} and Martina Bocchetta and Annemie Ribbens and Dirk Smeets and Rohrer, {Jonathan D.} and Sebastien Ourselin",

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doi = "10.1007/978-3-030-00931-1_44",

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journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Semedo, C, Cardoso, MJ, Vos, SB, Sudre, CH, Bocchetta, M, Ribbens, A, Smeets, D, Rohrer, JD & Ourselin, S 2018, 'Thalamic nuclei segmentation using tractography, population-specific priors and local fibre orientation', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 383-391. https://doi.org/10.1007/978-3-030-00931-1_44

Thalamic nuclei segmentation using tractography, population-specific priors and local fibre orientation. / Semedo, Carla; Cardoso, M. Jorge; Vos, Sjoerd B. et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, p. 383-391.

Research output: Contribution to journal › Conference paper › peer-review

TY - JOUR

T1 - Thalamic nuclei segmentation using tractography, population-specific priors and local fibre orientation

AU - Semedo, Carla

AU - Cardoso, M. Jorge

AU - Vos, Sjoerd B.

AU - Sudre, Carole H.

AU - Bocchetta, Martina

AU - Ribbens, Annemie

AU - Smeets, Dirk

AU - Rohrer, Jonathan D.

AU - Ourselin, Sebastien

PY - 2018

Y1 - 2018

N2 - The thalamus is a deep grey matter structure that plays an important role in propagating nerve impulses between subcortical regions and the cerebral cortex. It is composed of distinct nuclei that have unique long-range connectivity. Accurate thalamic nuclei segmentation provides insights about structural connectivity and the neurodegeneration mechanisms occurring in distinct brain disorders, for instance Alzheimer’s disease and Frontotemporal dementia (FTD). In this work, we propose a novel thalamic nuclei segmentation approach that relies on tractography, thalamic nuclei priors and local fibre orientation. Validation was performed in a cohort of healthy controls and FTD patients against other thalamus connectivity-based parcellation methods. Results showed that the proposed strategy led to anatomical plausible thalamic nuclei segmentations and was able to detect connectivity differences between controls and FTD patients.

AB - The thalamus is a deep grey matter structure that plays an important role in propagating nerve impulses between subcortical regions and the cerebral cortex. It is composed of distinct nuclei that have unique long-range connectivity. Accurate thalamic nuclei segmentation provides insights about structural connectivity and the neurodegeneration mechanisms occurring in distinct brain disorders, for instance Alzheimer’s disease and Frontotemporal dementia (FTD). In this work, we propose a novel thalamic nuclei segmentation approach that relies on tractography, thalamic nuclei priors and local fibre orientation. Validation was performed in a cohort of healthy controls and FTD patients against other thalamus connectivity-based parcellation methods. Results showed that the proposed strategy led to anatomical plausible thalamic nuclei segmentations and was able to detect connectivity differences between controls and FTD patients.

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Semedo C, Cardoso MJ, Vos SB, Sudre CH, Bocchetta M, Ribbens A et al. Thalamic nuclei segmentation using tractography, population-specific priors and local fibre orientation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018;383-391. Epub 2018 Sept 13. doi: 10.1007/978-3-030-00931-1_44

Thalamic nuclei segmentation using tractography, population-specific priors and local fibre orientation

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