White matter extension of the Melbourne Children's Regional Infant Brain atlas: M‐CRIB‐WM

Alexander, Bonnie; Yang, Joseph Yuan-Mou; Yao, Sarah Hui Wen; Wu, Michelle Hao; Chen, Jian; Kelly, Claire E.; Ball, Gareth; Matthews, Lillian G.; Seal, Marc L.; Anderson, Peter J.; Doyle, Lex W.; Cheong, Jeanie L.Y.; Spittle, Alicia J; Thompson, Deanne K.

doi:10.1002/hbm.24948

Cited by 10 publications

(23 citation statements)

References 68 publications

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“…The atlas also includes detailed WM parcellation maps: (i) the map with the major WM tract ROIs based on the definitions from the recently introduced M-CRIB-WM neonatal atlas (Alexander et al, 2020) and (ii) the map of the regions associated with the high γ signal change rates during the normal WM maturation process. We tested the applicability of these parcellation maps for region-specific atlas-based studies on comparison between the term and preterm cohorts.…”

Section: Running Titlementioning

confidence: 99%

“…In structural-only MRI datasets segmentation is normally performed by atlas-based methods (Makropoulos et al, 2014). In the WM atlas-based analysis, the parcellation maps for the single-subject or population-average WM DTI atlases (Oishi et al, 2011;Feng et al, 2019;Alexander et al, 2020) were created by 2D manual delineation based on DTI directionally-encoded colour maps for single subject or population-averaged templates. Label propagation based on DTI channel-guided registration has been widely used in neonatal brain studies (Kersbergen et al, 2014;Rose et al, 2014;Wu et al, 2017;Claessens et al, 2019;Feng et al, 2019).…”

Section: Region Specific Analysismentioning

confidence: 99%

“…Furthermore, the atlas includes two parcellation maps: (i) the major WM tract regions (Alexander et al, 2020) refined using probabilistic tractography in the template and (ii) the map of the transient WM regions with high maturation rates during neonatal period. To ensure accuracy of spatial alignment, we propose a multi-channel (MC) registration (Uus et al, 2020) guided by spatially-weighted structural, diffusion (ODFs) MRI and cortical segmentation (Makropoulos et al, 2018) channels.…”

Section: Contributionsmentioning

confidence: 99%

“…6. The label annotation information follows the original annotations in Alexander et al (2020). week PMA.…”

Section: D Multi-channel Atlas Of Normative Neonatal Brain Developmentmentioning

confidence: 99%

“…The WM parcellation map in the atlas reference space. The 54 ROIs are based on the structures defined in the M-CRIB-WM atlas(Alexander et al, 2020). The corresponding TDI map highlights the WM pathway regions.…”

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confidence: 99%

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Multi-channel 4D parametrized Atlas of Macro- and Microstructural Neonatal Brain Development

Uus

Grigorescu

Pietsch

et al. 2021

Preprint

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Structural and diffusion MRI provide complimentary anatomical and microstructural characterization of early brain maturation. The existing models of the developing brain in time include only either structural or diffusion channels. Furthermore, there is a lack of tools for combined analysis of structural and diffusion MRI in the same reference space. In this work we propose methodology to generate multi-channel (MC) continuous spatio-temporal parametrized atlas of brain development based on MC registration driven by both T2-weighted and orientation distribution functions (ODF) channels along with the Gompertz model (GM) fitting of the signals and spatial transformations in time. We construct a 4D MC atlas of neonatal brain development during 38 to 44 week PMA range from 170 normal term subjects from developing Human Connectomme Project. The resulting atlas consists of fourteen spatio-temporal microstructural indices and two parcellation maps delineating white matter tracts and neonatal transient structures. We demonstrate applicability of the atlas for quantitative region-specific comparison of 140 term and 40 preterm subjects scanned at the term-equivalent age. We show multi-parametric microstructural differences in multiple white matter regions, including the transient compartments. The atlas and software will be available after publication of the article.

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Section: Running Titlementioning

confidence: 99%

Section: Region Specific Analysismentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

“…6. The label annotation information follows the original annotations in Alexander et al (2020). week PMA.…”

Section: D Multi-channel Atlas Of Normative Neonatal Brain Developmentmentioning

confidence: 99%

mentioning

confidence: 99%

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Multi-channel 4D parametrized Atlas of Macro- and Microstructural Neonatal Brain Development

Uus

Grigorescu

Pietsch

et al. 2021

Preprint

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Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts

Uus¹,

Ayub²,

Gartner³

et al. 2022

Lecture Notes in Computer Science

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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 [?,?] and neurodevelopment scores [?]. 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 [?] was then used for assessment of the differences between term and preterm cohorts (200 subjects) from the developing Human Connectome Project (dHCP) (dHCP) project [?] in terms of the ROI-specific volumetry and microstructural diffusion MRI indices.

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A populational connection distribution map for the whole brain white matter reveals ordered cortical wiring in the space of white matter

Lee

2022

NeuroImage

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White matter extension of the Melbourne Children's Regional Infant Brain atlas: M‐CRIB‐WM

Cited by 10 publications

References 68 publications

Multi-channel 4D parametrized Atlas of Macro- and Microstructural Neonatal Brain Development

Multi-channel 4D parametrized Atlas of Macro- and Microstructural Neonatal Brain Development

Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts

A populational connection distribution map for the whole brain white matter reveals ordered cortical wiring in the space of white matter

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