Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts
Alena UU, Ayub MU, Gartner A, Kyriakopoulou V, Pietsch M, Grigorescu I, Christiaens D, Hutter J, Grande LC, Price A, Batalle D, Counsell S, Hajnal JV, Edwards AD, Rutherford MA, Deprez M (2022)
Publication Type: Conference contribution
Publication year: 2022
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 13575 LNCS
Pages Range: 94-104
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Singapore, SGP
ISBN: 9783031171161
DOI: 10.1007/978-3-031-17117-8_9
Abstract
MRI is conventionally employed in neonatal brain diagnosis and research studies. However, the traditional segmentation protocols omit differentiation between heterogeneous white matter (WM) tissue zones that rapidly evolve and change during the early brain development. There is a reported correlations of characteristics of the transient WM compartments (including periventricular regions, subplate, etc.) with brain maturation [23, 26] and neurodevelopment scores [22]. However, there are no currently available standards for parcellation of these regions in MRI scans. Therefore, in this work, we propose the first deep learning solution for automated 3D segmentation of periventricular WM (PWM) regions that would be the first step towards tissue-specific WM analysis. The implemented segmentation method based on UNETR [13] was then used for assessment of the differences between term and preterm cohorts (200 subjects) from the developing Human Connectome Project (dHCP) (dHCP) project [1] in terms of the ROI-specific volumetry and microstructural diffusion MRI indices.
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APA:
Alena, U.U., Ayub, M.-U., Gartner, A., Kyriakopoulou, V., Pietsch, M., Grigorescu, I.,... Deprez, M. (2022). Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts. In Roxane Licandro, Roxane Licandro, Andrew Melbourne, Jana Hutter, Esra Abaci Turk, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 94-104). Singapore, SGP: Springer Science and Business Media Deutschland GmbH.
MLA:
Alena, U. Uus, et al. "Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts." Proceedings of the 7th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, Singapore, SGP Ed. Roxane Licandro, Roxane Licandro, Andrew Melbourne, Jana Hutter, Esra Abaci Turk, Christopher Macgowan, Springer Science and Business Media Deutschland GmbH, 2022. 94-104.
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