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Automatic multispectral MRI segmentation of human hippocampal subfields: an evaluation of multicentric test–retest reproducibility

Accurate and reproducible automated segmentation of human hippocampal subfields is of interest to study their roles in cognitive functions and disease processes. Multispectral structural MRI methods have been proposed to improve automated hippocampal subfield segmentation accuracy, but the reproduci...

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Autores principales: Chiappiniello, Andrea, Tarducci, Roberto, Muscio, Cristina, Bruzzone, Maria Grazia, Bozzali, Marco, Tiraboschi, Pietro, Nigri, Anna, Ambrosi, Claudia, Chipi, Elena, Ferraro, Stefania, Festari, Cristina, Gasparotti, Roberto, Gianeri, Ruben, Giulietti, Giovanni, Mascaro, Lorella, Montanucci, Chiara, Nicolosi, Valentina, Rosazza, Cristina, Serra, Laura, Frisoni, Giovanni B., Perani, Daniela, Tagliavini, Fabrizio, Jovicich, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817563/
https://www.ncbi.nlm.nih.gov/pubmed/33231744
http://dx.doi.org/10.1007/s00429-020-02172-w
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author Chiappiniello, Andrea
Tarducci, Roberto
Muscio, Cristina
Bruzzone, Maria Grazia
Bozzali, Marco
Tiraboschi, Pietro
Nigri, Anna
Ambrosi, Claudia
Chipi, Elena
Ferraro, Stefania
Festari, Cristina
Gasparotti, Roberto
Gianeri, Ruben
Giulietti, Giovanni
Mascaro, Lorella
Montanucci, Chiara
Nicolosi, Valentina
Rosazza, Cristina
Serra, Laura
Frisoni, Giovanni B.
Perani, Daniela
Tagliavini, Fabrizio
Jovicich, Jorge
author_facet Chiappiniello, Andrea
Tarducci, Roberto
Muscio, Cristina
Bruzzone, Maria Grazia
Bozzali, Marco
Tiraboschi, Pietro
Nigri, Anna
Ambrosi, Claudia
Chipi, Elena
Ferraro, Stefania
Festari, Cristina
Gasparotti, Roberto
Gianeri, Ruben
Giulietti, Giovanni
Mascaro, Lorella
Montanucci, Chiara
Nicolosi, Valentina
Rosazza, Cristina
Serra, Laura
Frisoni, Giovanni B.
Perani, Daniela
Tagliavini, Fabrizio
Jovicich, Jorge
author_sort Chiappiniello, Andrea
collection PubMed
description Accurate and reproducible automated segmentation of human hippocampal subfields is of interest to study their roles in cognitive functions and disease processes. Multispectral structural MRI methods have been proposed to improve automated hippocampal subfield segmentation accuracy, but the reproducibility in a multicentric setting is, to date, not well characterized. Here, we assessed test–retest reproducibility of FreeSurfer 6.0 hippocampal subfield segmentations using multispectral MRI analysis pipelines (22 healthy subjects scanned twice, a week apart, at four 3T MRI sites). The harmonized MRI protocol included two 3D-T1, a 3D-FLAIR, and a high-resolution 2D-T2. After within-session T1 averaging, subfield volumes were segmented using three pipelines with different multispectral data: two longitudinal (“long_T1s” and “long_T1s_FLAIR”) and one cross-sectional (“long_T1s_FLAIR_crossT2”). Volume reproducibility was quantified in magnitude (reproducibility error—RE) and space (DICE coefficient). RE was lower in all hippocampal subfields, except for hippocampal fissure, using the longitudinal pipelines compared to long_T1s_FLAIR_crossT2 (average RE reduction of 0.4–3.6%). Similarly, the longitudinal pipelines showed a higher spatial reproducibility (1.1–7.8% of DICE improvement) in all hippocampal structures compared to long_T1s_FLAIR_crossT2. Moreover, long_T1s_FLAIR provided a small but significant RE improvement in comparison to long_T1s (p = 0.015), whereas no significant DICE differences were found. In addition, structures with volumes larger than 200 mm(3) had better RE (1–2%) and DICE (0.7–0.95) than smaller structures. In summary, our study suggests that the most reproducible hippocampal subfield FreeSurfer segmentations are derived from a longitudinal pipeline using 3D-T1s and 3D-FLAIR. Adapting a longitudinal pipeline to include high-resolution 2D-T2 may lead to further improvements. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00429-020-02172-w) contains supplementary material, which is available to authorized users.
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spelling pubmed-78175632021-01-25 Automatic multispectral MRI segmentation of human hippocampal subfields: an evaluation of multicentric test–retest reproducibility Chiappiniello, Andrea Tarducci, Roberto Muscio, Cristina Bruzzone, Maria Grazia Bozzali, Marco Tiraboschi, Pietro Nigri, Anna Ambrosi, Claudia Chipi, Elena Ferraro, Stefania Festari, Cristina Gasparotti, Roberto Gianeri, Ruben Giulietti, Giovanni Mascaro, Lorella Montanucci, Chiara Nicolosi, Valentina Rosazza, Cristina Serra, Laura Frisoni, Giovanni B. Perani, Daniela Tagliavini, Fabrizio Jovicich, Jorge Brain Struct Funct Original Article Accurate and reproducible automated segmentation of human hippocampal subfields is of interest to study their roles in cognitive functions and disease processes. Multispectral structural MRI methods have been proposed to improve automated hippocampal subfield segmentation accuracy, but the reproducibility in a multicentric setting is, to date, not well characterized. Here, we assessed test–retest reproducibility of FreeSurfer 6.0 hippocampal subfield segmentations using multispectral MRI analysis pipelines (22 healthy subjects scanned twice, a week apart, at four 3T MRI sites). The harmonized MRI protocol included two 3D-T1, a 3D-FLAIR, and a high-resolution 2D-T2. After within-session T1 averaging, subfield volumes were segmented using three pipelines with different multispectral data: two longitudinal (“long_T1s” and “long_T1s_FLAIR”) and one cross-sectional (“long_T1s_FLAIR_crossT2”). Volume reproducibility was quantified in magnitude (reproducibility error—RE) and space (DICE coefficient). RE was lower in all hippocampal subfields, except for hippocampal fissure, using the longitudinal pipelines compared to long_T1s_FLAIR_crossT2 (average RE reduction of 0.4–3.6%). Similarly, the longitudinal pipelines showed a higher spatial reproducibility (1.1–7.8% of DICE improvement) in all hippocampal structures compared to long_T1s_FLAIR_crossT2. Moreover, long_T1s_FLAIR provided a small but significant RE improvement in comparison to long_T1s (p = 0.015), whereas no significant DICE differences were found. In addition, structures with volumes larger than 200 mm(3) had better RE (1–2%) and DICE (0.7–0.95) than smaller structures. In summary, our study suggests that the most reproducible hippocampal subfield FreeSurfer segmentations are derived from a longitudinal pipeline using 3D-T1s and 3D-FLAIR. Adapting a longitudinal pipeline to include high-resolution 2D-T2 may lead to further improvements. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00429-020-02172-w) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-11-24 2021 /pmc/articles/PMC7817563/ /pubmed/33231744 http://dx.doi.org/10.1007/s00429-020-02172-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Chiappiniello, Andrea
Tarducci, Roberto
Muscio, Cristina
Bruzzone, Maria Grazia
Bozzali, Marco
Tiraboschi, Pietro
Nigri, Anna
Ambrosi, Claudia
Chipi, Elena
Ferraro, Stefania
Festari, Cristina
Gasparotti, Roberto
Gianeri, Ruben
Giulietti, Giovanni
Mascaro, Lorella
Montanucci, Chiara
Nicolosi, Valentina
Rosazza, Cristina
Serra, Laura
Frisoni, Giovanni B.
Perani, Daniela
Tagliavini, Fabrizio
Jovicich, Jorge
Automatic multispectral MRI segmentation of human hippocampal subfields: an evaluation of multicentric test–retest reproducibility
title Automatic multispectral MRI segmentation of human hippocampal subfields: an evaluation of multicentric test–retest reproducibility
title_full Automatic multispectral MRI segmentation of human hippocampal subfields: an evaluation of multicentric test–retest reproducibility
title_fullStr Automatic multispectral MRI segmentation of human hippocampal subfields: an evaluation of multicentric test–retest reproducibility
title_full_unstemmed Automatic multispectral MRI segmentation of human hippocampal subfields: an evaluation of multicentric test–retest reproducibility
title_short Automatic multispectral MRI segmentation of human hippocampal subfields: an evaluation of multicentric test–retest reproducibility
title_sort automatic multispectral mri segmentation of human hippocampal subfields: an evaluation of multicentric test–retest reproducibility
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817563/
https://www.ncbi.nlm.nih.gov/pubmed/33231744
http://dx.doi.org/10.1007/s00429-020-02172-w
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