Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation
Recently developed methods for rapid continuous volumetric two-photon microscopy facilitate the observation of neuronal activity in hundreds of individual neurons and changes in blood flow in adjacent blood vessels across a large volume of living brain at unprecedented spatio-temporal resolution. However, the high imaging rate necessitates fully automated image analysis, whereas tissue turbidity and photo-toxicity limitations lead to extremely sparse and noisy imagery. In this work, we extend a recently proposed deep learning volumetric blood vessel segmentation network, such that it supports temporal analysis. With this technology, we are able to track changes in cerebral blood volume over time and identify spontaneous arterial dilations that propagate towards the pial surface. This new capability is a promising step towards characterizing the hemodynamic response function upon which functional magnetic resonance imaging (fMRI) is based.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
GPU-Accelerated RSF Level Set Evolution for Large-Scale Microvascular Segmentation
Microvascular networks are challenging to model because these structures are currently near the diffraction limit for most advanced three-dimensional imaging modalities, including confocal and light sheet microscopy. Thi…
GPUSemantic SegmentationA Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy
Ultrasound Localization Microscopy can resolve the microvascular bed down to a few micrometers. To achieve such performance microbubble contrast agents must perfuse the entire microvascular network. Microbubbles are then…
Deep LearningDVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction
Maps of brain microarchitecture are important for understanding neurological function and behavior, including alterations caused by chronic conditions such as neurodegenerative disease. Techniques such as knife-edge scan…
DecoderSegmentationSemantic SegmentationTransthoracic super-resolution ultrasound localisation microscopy of myocardial vasculature in patients
Micro-vascular flow in the myocardium is of significant importance clinically but remains poorly understood. Up to 25% of patients with symptoms of coronary heart diseases have no obstructive coronary arteries and have s…
ManagementSuper-ResolutionFast and selective super-resolution ultrasound in vivo with sono-switchable nanodroplets
Perfusion by the microcirculation is key to the development, maintenance and pathology of tissue. Its measurement with high spatiotemporal resolution is consequently valuable but remains a challenge in deep tissue. Ultra…
Super-Resolution