Perivascular space Identification Nnunet for Generalised Usage (PINGU)

arXiv:2405.08337v1 Announce Type: new
Abstract: Perivascular spaces(PVSs) form a central component of the brain\'s waste clearance system, the glymphatic system. These structures are visible on MRI images, and their morphology is associated with aging and neurological disease. Manual quantification of PVS is time consuming and subjective. Numerous deep learning methods for PVS segmentation have been developed, however the majority have been developed and evaluated on homogenous datasets and high resolution scans, perhaps limiting their applicability for the wide range of …

abstract aging arxiv brain cs.ai cs.cv deep learning disease form identification images mri quantification space spaces type usage waste