MRI atlas of the pituitary gland in young female adults

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Standard

MRI atlas of the pituitary gland in young female adults. / Zennadi, Manel Merabet; Ptito, Maurice; Redouté, Jérôme; Costes, Nicolas; Boutet, Claire; Germain, Natacha; Galusca, Bogdan; Schneider, Fabien C.

In: Brain Structure and Function, Vol. 229, 2024, p. 1001–1010.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Zennadi, MM, Ptito, M, Redouté, J, Costes, N, Boutet, C, Germain, N, Galusca, B & Schneider, FC 2024, 'MRI atlas of the pituitary gland in young female adults', Brain Structure and Function, vol. 229, pp. 1001–1010. https://doi.org/10.1007/s00429-024-02779-3

APA

Zennadi, M. M., Ptito, M., Redouté, J., Costes, N., Boutet, C., Germain, N., Galusca, B., & Schneider, F. C. (2024). MRI atlas of the pituitary gland in young female adults. Brain Structure and Function, 229, 1001–1010. https://doi.org/10.1007/s00429-024-02779-3

Vancouver

Zennadi MM, Ptito M, Redouté J, Costes N, Boutet C, Germain N et al. MRI atlas of the pituitary gland in young female adults. Brain Structure and Function. 2024;229:1001–1010. https://doi.org/10.1007/s00429-024-02779-3

Author

Zennadi, Manel Merabet ; Ptito, Maurice ; Redouté, Jérôme ; Costes, Nicolas ; Boutet, Claire ; Germain, Natacha ; Galusca, Bogdan ; Schneider, Fabien C. / MRI atlas of the pituitary gland in young female adults. In: Brain Structure and Function. 2024 ; Vol. 229. pp. 1001–1010.

Bibtex

@article{0e600dbe16fd4fc5947827cf3a39edb3,
title = "MRI atlas of the pituitary gland in young female adults",
abstract = "The probabilistic topography and inter-individual variability of the pituitary gland (PG) remain undetermined. The absence of a standardized reference atlas hinders research on PG volumetrics. In this study, we aimed at creating maximum probability maps for the anterior and posterior PG in young female adults. We manually delineated the anterior and posterior parts of the pituitary glands in 26 healthy subjects using high-resolution MRI T1 images. A three-step procedure and a cost function-masking approach were employed to optimize spatial normalization for the PG. We generated probabilistic atlases and maximum probability maps, which were subsequently coregistered back to the subjects{\textquoteright} space and compared to manual delineations. Manual measurements led to a total pituitary volume of 705 ± 88 mm³, with the anterior and posterior volumes measuring 614 ± 82 mm³ and 91 ± 20 mm³, respectively. The mean relative volume difference between manual and atlas-based estimations was 1.3%. The global pituitary atlas exhibited an 80% (± 9%) overlap for the DICE index and 67% (± 11%) for the Jaccard index. Similarly, these values were 77% (± 13%) and 64% (± 14%) for the anterior pituitary atlas and 62% (± 21%) and 47% (± 17%) for the posterior PG atlas, respectively. We observed a substantial concordance and a significant correlation between the volume estimations of the manual and atlas-based methods for the global pituitary and anterior volumes. The maximum probability maps of the anterior and posterior PG lay the groundwork for automatic atlas-based segmentation methods and the standardized analysis of large PG datasets.",
keywords = "Atlas, Automatic segmentation, Human brain, MRI, Pituitary gland",
author = "Zennadi, {Manel Merabet} and Maurice Ptito and J{\'e}r{\^o}me Redout{\'e} and Nicolas Costes and Claire Boutet and Natacha Germain and Bogdan Galusca and Schneider, {Fabien C.}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.",
year = "2024",
doi = "10.1007/s00429-024-02779-3",
language = "English",
volume = "229",
pages = "1001–1010",
journal = "Brain Structure and Function",
issn = "1863-2653",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - MRI atlas of the pituitary gland in young female adults

AU - Zennadi, Manel Merabet

AU - Ptito, Maurice

AU - Redouté, Jérôme

AU - Costes, Nicolas

AU - Boutet, Claire

AU - Germain, Natacha

AU - Galusca, Bogdan

AU - Schneider, Fabien C.

N1 - Publisher Copyright: © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

PY - 2024

Y1 - 2024

N2 - The probabilistic topography and inter-individual variability of the pituitary gland (PG) remain undetermined. The absence of a standardized reference atlas hinders research on PG volumetrics. In this study, we aimed at creating maximum probability maps for the anterior and posterior PG in young female adults. We manually delineated the anterior and posterior parts of the pituitary glands in 26 healthy subjects using high-resolution MRI T1 images. A three-step procedure and a cost function-masking approach were employed to optimize spatial normalization for the PG. We generated probabilistic atlases and maximum probability maps, which were subsequently coregistered back to the subjects’ space and compared to manual delineations. Manual measurements led to a total pituitary volume of 705 ± 88 mm³, with the anterior and posterior volumes measuring 614 ± 82 mm³ and 91 ± 20 mm³, respectively. The mean relative volume difference between manual and atlas-based estimations was 1.3%. The global pituitary atlas exhibited an 80% (± 9%) overlap for the DICE index and 67% (± 11%) for the Jaccard index. Similarly, these values were 77% (± 13%) and 64% (± 14%) for the anterior pituitary atlas and 62% (± 21%) and 47% (± 17%) for the posterior PG atlas, respectively. We observed a substantial concordance and a significant correlation between the volume estimations of the manual and atlas-based methods for the global pituitary and anterior volumes. The maximum probability maps of the anterior and posterior PG lay the groundwork for automatic atlas-based segmentation methods and the standardized analysis of large PG datasets.

AB - The probabilistic topography and inter-individual variability of the pituitary gland (PG) remain undetermined. The absence of a standardized reference atlas hinders research on PG volumetrics. In this study, we aimed at creating maximum probability maps for the anterior and posterior PG in young female adults. We manually delineated the anterior and posterior parts of the pituitary glands in 26 healthy subjects using high-resolution MRI T1 images. A three-step procedure and a cost function-masking approach were employed to optimize spatial normalization for the PG. We generated probabilistic atlases and maximum probability maps, which were subsequently coregistered back to the subjects’ space and compared to manual delineations. Manual measurements led to a total pituitary volume of 705 ± 88 mm³, with the anterior and posterior volumes measuring 614 ± 82 mm³ and 91 ± 20 mm³, respectively. The mean relative volume difference between manual and atlas-based estimations was 1.3%. The global pituitary atlas exhibited an 80% (± 9%) overlap for the DICE index and 67% (± 11%) for the Jaccard index. Similarly, these values were 77% (± 13%) and 64% (± 14%) for the anterior pituitary atlas and 62% (± 21%) and 47% (± 17%) for the posterior PG atlas, respectively. We observed a substantial concordance and a significant correlation between the volume estimations of the manual and atlas-based methods for the global pituitary and anterior volumes. The maximum probability maps of the anterior and posterior PG lay the groundwork for automatic atlas-based segmentation methods and the standardized analysis of large PG datasets.

KW - Atlas

KW - Automatic segmentation

KW - Human brain

KW - MRI

KW - Pituitary gland

U2 - 10.1007/s00429-024-02779-3

DO - 10.1007/s00429-024-02779-3

M3 - Journal article

C2 - 38502330

AN - SCOPUS:85188058265

VL - 229

SP - 1001

EP - 1010

JO - Brain Structure and Function

JF - Brain Structure and Function

SN - 1863-2653

ER -

ID: 387269043