A longitudinal study of the evolution of the central sulcus’ shape in preterm infants using manifold learning

Héloïse de Vareilles*, Zhongyi Sun, Manon Benders, Clara Fischer, François Leroy, Linda de Vries, Floris Groenendaal, Denis Rivière, Jessica Dubois, Jean François Mangin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Cortical folding in humans is different for every individual, and is associated with functional specificities. It forms mainly during the last trimester of pregnancy, hence its development lacks description, especially in a longitudinal way. To cope with this issue, this study focused on the evolution of the central sulcus’ variability of 71 preterm infants studied longitudinally with MRI at 30 and 40 weeks (w) postmenstrual age (PMA). Our aim was to investigate the main shape characteristics and whether they are encoded early on or appear closer to term birth. We captured shape dissimilarity between the sulci using a distance matrix after pairwise co-registration using an Iterative Closest Point algorithm. We applied non-linear dimensionality reduction to this matrix using the Isomap algorithm in order to capture the most discriminative shape features among the central sulci. We characterized the three most discriminative features over the group, and found that the sulci evolved consistently from a given feature at 30w PMA to the 40w PMA equivalent feature. We incidentally captured a feature that could coincide with the most discriminative adult feature, both visually and by its asymmetry in left and right sulcal distribution. These results captured the main shape features of the central sulcus in preterm infants and suggest that they are already encoded at 30w PMA.

Original languageEnglish
Title of host publicationSmart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis - 1st International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Proceedings
EditorsQian Wang, Alberto Gomez, Jana Hutter, Alberto Gomez, Veronika Zimmer, Jana Hutter, Emma Robinson, Daan Christiaens, Andrew Melbourne, Kristin McLeod, Oliver Zettinig, Roxane Licandro, Esra Abaci Turk
PublisherSpringer
Pages143-152
Number of pages10
ISBN (Print)9783030328740
DOIs
Publication statusPublished - 1 Jan 2019
Event1st International Workshop on Smart Ultrasound Imaging, SUSI 2019, and the 4th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019 - Shenzhen, China
Duration: 17 Oct 201917 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11798 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Smart Ultrasound Imaging, SUSI 2019, and the 4th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019
Country/TerritoryChina
CityShenzhen
Period17/10/1917/10/19

Keywords

  • Brain MRI
  • Central sulcus
  • Cortical development
  • Preterm infants

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