题目：Artificial intelligence velocimetry reveals in vivo flow rates,pressure gradients, and shear stresses in murine perivascular flows
Document source: PNAS 2023 Vol. 120 No. 14 e2217744120
code: none
INTRODUCTION: Diseases such as Alzheimer's disease and small vessel disease are associated with altered flow of watery fluid transported around cerebral blood vessels and around brain tissue. Understanding system function, failure, and potential recovery relies on high-fidelity, in vivo quantification of flow, pressure, and shear stress, which was previously unavailable. The authors show that artificial intelligence velocity measurements (AIV) combine sparse two-dimensional (2D) in vivo velocity measurements with neural networks of physical information to accurately infer high-resolution pressure and shear stress. AIV can also infer high-resolution three-dimensional (3D) velocities, allowing volumetric flow and electrical resistance to be quantified with high precision. Its unique capabilities make AIV a critical tool in understanding brain fluid flow to improve clinical outcomes.
main content:
-------------------------------------------
Welcome to like, collect and forward!
See you next time!