Results 61 to 70 of about 497,841 (322)
Detection of perfusion ROI as a quality control in perfusion analysis [PDF]
In perfusion analysis automated approaches for image processing is preferable due to reduce time-consuming tasks for radiologists. Assessment of perfusion results quality is important step in development of algorithms for automated processing. One of them is an assessment of perfusion maps quality based on detection of perfusion ROI.
arxiv
Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke [PDF]
Purpose: In this study we investigate whether a Convolutional Neural Network (CNN) can generate clinically relevant parametric maps from CT perfusion data in a clinical setting of patients with acute ischemic stroke. Methods: Training of the CNN was done on a subset of 100 perfusion data, while 15 samples were used as validation.
arxiv
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi+4 more
wiley +1 more source
Perfusion Linearity and Its Applications [PDF]
Perfusion analysis computes blood flow parameters (blood volume, blood flow, mean transit time) from the observed flow of contrast agent, passing through the patient's vascular system. Perfusion deconvolution has been widely accepted as the principal numerical tool for perfusion analysis, and is used routinely in clinical applications.
arxiv
In this study, a new type of bioactive glass fiber ‐based composite magnesium phosphate bone cement is prepared and verified that its mechanical strength and biological properties. In addition, the cement may have played a biologically active role in the Notch and HIF signaling pathways.
Yuzheng Lu+12 more
wiley +1 more source
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning [PDF]
In this work, we present a novel convolutional neural net- work based method for perfusion map generation in dynamic suscepti- bility contrast-enhanced perfusion imaging. The proposed architecture is trained end-to-end and solely relies on raw perfusion data for inference. We used a dataset of 151 acute ischemic stroke cases for evaluation.
arxiv
Time‐Controlled Dual Targeting to Program Systemic and Intercellular Transfer of Therapeutic Effects
Aspirin‐liposomes loaded onto monocytes enable inflammation‐triggered targeting and efficient hand‐over of aspirin to inflamed cells. Monocytes uptake a significant portion of aspirin‐liposomes, prolonging therapeutic action. This approach enhances anti‐inflammatory effects through intercellular transfer, demonstrating a translational strategy for ...
Seung Eun Yu+6 more
wiley +1 more source
To Perfuse or Not to Perfuse Kidneys Donated after Cardiac Death [PDF]
ispartof: American Journal of Transplantation vol:11 issue:2 pages:409 ...
Jochmans, Ina+3 more
openaire +5 more sources
In this work, melt electrowriting is used to fabricate a 3D printed scaffold design that generates engineered cardiac tissues with in‐plane contraction, mimicking natural myocardium. It is shown that these tissues display advanced maturation and functionality.
Olalla Iglesias‐García+23 more
wiley +1 more source
Variability in triggers for mechanical left ventricular unloading in VA-ECMO: A literature search
Background: Venoarterial Extracorporeal Membrane Oxygenation (VA-ECMO) is a means of supporting the lungs or the heart and lungs in patients with hemodynamic compromise that is refractory to conventional measures.
Calhoun Anthony+4 more
doaj +1 more source