Deep-learning segmentation of peri-sinus structures reveals changes across the human lifespan with implications for neurofluid circulation
Le résumé fourni par la source
Motivation: Peri-sinus structures such as the parasagittal dural space (PSD) and intravenous arachnoid granulation (AG) play an important role in regulating the CSF circulation. Goal(s): To investigate the volume of the PSD and AG in children and adults (age range=5-100 years). Approach: We refined and applied a novel deep-learning algorithm to estimate volumetric measures of PSD and intravenous AG in a large dataset (n=1,815) using 3D T2-weighted MRI. Results: Data confirm sex effects on PSD and AG volumes and indicate a more rapid growth in early life with an increase of 0.9 cm3 and 0.64 mm3 per year before plateauing in mid-adulthood. Impact: Analysis provides new insight into PSD and AG changes in a large dataset of healthy control participants. Findings demonstrate developmental PSD and intravenous AG changes, which may serve as an exemplar for normal vs. unhealthy aging across the lifespan.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Deep-learning segmentation of peri-sinus structures reveals changes across the human lifespan with implications for neurofluid circulation
- Date Crossref
- 26/11/2024
- Éditeur
- ISMRM
- Type
- proceedings-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.