Literature DB >> 32746019

A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus From 7 T MRI.

Alexis Guyot, Ana B Graciano Fouquier, Emilie Gerardin, Marie Chupin, Joan A Glaunes, Linda Marrakchi-Kacem, Johanne Germain, Claire Boutet, Claire Cury, Lucie Hertz-Pannier, Alexandre Vignaud, Stanley Durrleman, Thomas R Henry, Pierre-Francois van de Moortele, Alain Trouve, Olivier Colliot.   

Abstract

OBJECTIVE: 7-Tesla MRI of the hippocampus enhances the visualization of its internal substructures. Among these substructures, the cornu Ammonis and subiculum form a contiguous folded ribbon of gray matter. Here, we propose a method to analyze local thickness measurements of this ribbon.
METHODS: We introduce an original approach based upon the estimation of a diffeomorphic vector field that traverses the ribbon. The method is designed to handle specificities of the hippocampus and corresponding 7-Tesla acquisitions: highly convoluted surface, non-closed ribbon, incompletely defined inner/outer boundaries, anisotropic acquisitions. We furthermore propose to conduct group comparisons using a population template built from the central surfaces of individual subjects.
RESULTS: We first assessed the robustness of our approach to anisotropy, as well as to inter-rater variability, on a post-mortem scan and on in vivo acquisitions respectively. We then conducted a group study on a dataset of in vivo MRI from temporal lobe epilepsy (TLE) patients and healthy controls. The method detected local thinning patterns in patients, predominantly ipsilaterally to the seizure focus, which is consistent with medical knowledge.
CONCLUSION: This new technique allows measuring the thickness of the hippocampus from 7-Tesla MRI. It shows good robustness with respect to anisotropy and inter-rater variability and has the potential to detect local atrophy in patients. SIGNIFICANCE: As 7-Tesla MRI is increasingly available, this new method may become a useful tool to study local alterations of the hippocampus in brain disorders. It is made freely available to the community (code: https://github.com/aramis-lab/hiplay7-thickness, postmortem segmentation: https://doi.org/10.5281/zenodo.3533264).

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Mesh:

Year:  2021        PMID: 32746019      PMCID: PMC7875184          DOI: 10.1109/TBME.2020.2999941

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  28 in total

1.  A comparison of voxel and surface based cortical thickness estimation methods.

Authors:  Matthew J Clarkson; M Jorge Cardoso; Gerard R Ridgway; Marc Modat; Kelvin K Leung; Jonathan D Rohrer; Nick C Fox; Sébastien Ourselin
Journal:  Neuroimage       Date:  2011-05-26       Impact factor: 6.556

2.  A novel in vivo atlas of human hippocampal subfields using high-resolution 3 T magnetic resonance imaging.

Authors:  Julie L Winterburn; Jens C Pruessner; Sofia Chavez; Mark M Schira; Nancy J Lobaugh; Aristotle N Voineskos; M Mallar Chakravarty
Journal:  Neuroimage       Date:  2013-02-13       Impact factor: 6.556

3.  Unfolding the hippocampus: An intrinsic coordinate system for subfield segmentations and quantitative mapping.

Authors:  Jordan DeKraker; Kayla M Ferko; Jonathan C Lau; Stefan Köhler; Ali R Khan
Journal:  Neuroimage       Date:  2017-11-23       Impact factor: 6.556

4.  Longitudinal changes in medial temporal cortical thickness in normal subjects with the APOE-4 polymorphism.

Authors:  Markus Donix; Alison C Burggren; Nanthia A Suthana; Prabha Siddarth; Arne D Ekstrom; Allison K Krupa; Michael Jones; Anup Rao; Laurel Martin-Harris; Linda M Ercoli; Karen J Miller; Gary W Small; Susan Y Bookheimer
Journal:  Neuroimage       Date:  2010-06-10       Impact factor: 6.556

5.  Measuring the thickness of the human cerebral cortex from magnetic resonance images.

Authors:  B Fischl; A M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-26       Impact factor: 11.205

6.  Mesial temporal damage in temporal lobe epilepsy: a volumetric MRI study of the hippocampus, amygdala and parahippocampal region.

Authors:  N Bernasconi; A Bernasconi; Z Caramanos; S B Antel; F Andermann; D L Arnold
Journal:  Brain       Date:  2003-02       Impact factor: 13.501

7.  Temporal lobe volumetric cell densities in temporal lobe epilepsy.

Authors:  T L Babb; W J Brown; J Pretorius; C Davenport; J P Lieb; P H Crandall
Journal:  Epilepsia       Date:  1984-12       Impact factor: 5.864

8.  Morphometry of anatomical shape complexes with dense deformations and sparse parameters.

Authors:  Stanley Durrleman; Marcel Prastawa; Nicolas Charon; Julie R Korenberg; Sarang Joshi; Guido Gerig; Alain Trouvé
Journal:  Neuroimage       Date:  2014-06-26       Impact factor: 6.556

9.  Advances in high-resolution imaging and computational unfolding of the human hippocampus.

Authors:  Arne D Ekstrom; Adam J Bazih; Nanthia A Suthana; Ramsey Al-Hakim; Kenji Ogura; Michael Zeineh; Alison C Burggren; Susan Y Bookheimer
Journal:  Neuroimage       Date:  2009-03-19       Impact factor: 6.556

10.  A harmonized segmentation protocol for hippocampal and parahippocampal subregions: Why do we need one and what are the key goals?

Authors:  Laura E M Wisse; Ana M Daugherty; Rosanna K Olsen; David Berron; Valerie A Carr; Craig E L Stark; Robert S C Amaral; Katrin Amunts; Jean C Augustinack; Andrew R Bender; Jeffrey D Bernstein; Marina Boccardi; Martina Bocchetta; Alison Burggren; M Mallar Chakravarty; Marie Chupin; Arne Ekstrom; Robin de Flores; Ricardo Insausti; Prabesh Kanel; Olga Kedo; Kristen M Kennedy; Geoffrey A Kerchner; Karen F LaRocque; Xiuwen Liu; Anne Maass; Nicolai Malykhin; Susanne G Mueller; Noa Ofen; Daniela J Palombo; Mansi B Parekh; John B Pluta; Jens C Pruessner; Naftali Raz; Karen M Rodrigue; Dorothee Schoemaker; Andrea T Shafer; Trevor A Steve; Nanthia Suthana; Lei Wang; Julie L Winterburn; Michael A Yassa; Paul A Yushkevich; Renaud la Joie
Journal:  Hippocampus       Date:  2016-11-15       Impact factor: 3.899

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