Results 41 to 50 of about 2,976,436 (174)

The Effect of Normothermic Machine Perfusion on the Immune Profile of Donor Liver

Frontiers in Immunology, 2022
Background Normothermic machine perfusion (NMP) allows viability assessment and potential resuscitation of donor livers prior to transplantation.
A. Lee, A. Edobor, Maria Lysandrou, Vikranth R. Mirle, Amira S. Sadek, L. Johnston, Ryan Piech, R. Rose, J. Hart, Beth Amundsen, M. Jendrisak, J. Millis, J. Donington, M. Madariaga, R. Barth, Diego di Sabato, K. Shanmugarajah, John Fung   +17 more
semanticscholar   +1 more source

A Meta-Analysis and Systematic Review of Normothermic and Hypothermic Machine Perfusion in Liver Transplantation

Journal of Clinical Medicine, 2022
Background: The gap between the demand and supply of donor livers is still a considerable challenge. Since static cold storage is not sufficient in marginal livers, machine perfusion is being explored as an alternative. The objective of this study was to
Joseph Mugaanyi, L. Dai, Changjiang Lu, S. Mao, Jing Huang, Caide Lu   +5 more
semanticscholar   +1 more source

Unsupervised learning for vascular heterogeneity assessment of glioblastoma based on magnetic resonance imaging: The Hemodynamic Tissue Signature [PDF]

arXiv, 2020
This thesis focuses on the research and development of the Hemodynamic Tissue Signature (HTS) method: an unsupervised machine learning approach to describe the vascular heterogeneity of glioblastomas by means of perfusion MRI analysis. The HTS builds on the concept of habitats.
arxiv  

UniToBrain dataset: a Brain Perfusion Dataset [PDF]

arXiv, 2022
The CT perfusion (CTP) is a medical exam for measuring the passage of a bolus of contrast solution through the brain on a pixel-by-pixel basis. The objective is to draw "perfusion maps" (namely cerebral blood volume, cerebral blood flow and time to peak) very rapidly for ischemic lesions, and to be able to distinguish between core and penumubra regions.
arxiv  

Predicting Early Allograft Function After Normothermic Machine Perfusion

Transplantation, 2022
Background. Normothermic ex situ liver perfusion is increasingly used to assess donor livers, but there remains a paucity of evidence regarding criteria upon which to base a viability assessment or criteria predicting early allograft function.
C. Watson, R. Gaurav, C. Fear, L. Swift, L. Selves, C. Ceresa, S. Upponi, R. Brais, M. Allison, C. Macdonald-Wallis, Rhiannon Taylor, A. Butler   +11 more
semanticscholar   +1 more source

Estimating regional cerebral blood flow using resting-state functional MRI via machine learning [PDF]

, 2019
Perfusion MRI is an important modality in many brain imaging protocols, since it probes cerebrovascular changes in aging and many diseases; however, it may not be always available. Here we introduce a method that seeks to estimate regional perfusion properties using spectral information of resting-state functional MRI (rsfMRI) via machine learning.
arxiv   +1 more source

A comprehensive mathematical model for cardiac perfusion [PDF]

arXiv, 2023
We present a novel mathematical model that simulates myocardial blood perfusion by embedding multiscale and multiphysics features. Our model incorporates cardiac electrophysiology, active and passive mechanics, hemodynamics, reduced valve modeling, and a multicompartment Darcy model of perfusion.
arxiv  

SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion [PDF]

The IEEE International Symposium on Biomedical Imaging (ISBI 2018), 2019
With substantial public concerns on potential cancer risks and health hazards caused by the accumulated radiation exposure in medical imaging, reducing radiation dose in X-ray based medical imaging such as Computed Tomography Perfusion (CTP) has raised significant research interests. In this paper, we embrace the deep Convolutional Neural Networks (CNN)
arxiv  

Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression [PDF]

arXiv, 2019
Purpose: Arterial Spin Labeling (ASL) is a quantitative, non-invasive alternative to perfusion imaging with contrast agents. Fixing values of certain model parameters in traditional ASL, which actually vary from region to region, may introduce bias in perfusion estimates.
arxiv  

Generative Model-Based Ischemic Stroke Lesion Segmentation [PDF]

arXiv, 2019
CT perfusion (CTP) has been used to triage ischemic stroke patients in the early stage, because of its speed, availability, and lack of contraindications. Perfusion parameters including cerebral blood volume (CBV), cerebral blood flow (CBF), mean transit time (MTT) and time of peak (Tmax) could also be computed from CTP data.
arxiv