Implicit Modeling with Uncertainty Estimation for Intravoxel Incoherent Motion Imaging [PDF]
arXiv, 2018 Intravoxel incoherent motion (IVIM) imaging allows contrast-agent free in vivo perfusion quantification with magnetic resonance imaging (MRI). However, its use is limited by typically low accuracy due to low signal-to-noise ratio (SNR) at large gradient encoding magnitudes as well as dephasing artefacts caused by subject motion, which is particularly ...
arxiv
A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images [PDF]
arXiv, 2020 Arterial spin labeling (ASL) perfusion MRI provides a non-invasive way to quantify cerebral blood flow (CBF) but it still suffers from a low signal-to-noise-ratio (SNR). Using deep machine learning (DL), several groups have shown encouraging denoising results.
arxiv
Detection of perfusion ROI as a quality control in perfusion analysis [PDF]
in Proc. Science, Research, Development. Technics and Technology,
Berlin, Germany, Jan 30, 2018, pp.57-59, 2019 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
Combining multi-site Magnetic Resonance Imaging with machine learning predicts survival in paediatric brain tumours [PDF]
arXiv, 2020 Background Brain tumours represent the highest cause of mortality in the paediatric oncological population. Diagnosis is commonly performed with magnetic resonance imaging and spectroscopy. Survival biomarkers are challenging to identify due to the relatively low numbers of individual tumour types, especially for rare tumour types such as atypical ...
arxiv
Distinguishing between paediatric brain tumour types using multi-parametric magnetic resonance imaging and machine learning: a multi-site study [PDF]
arXiv, 2019 The imaging and subsequent accurate diagnosis of paediatric brain tumours presents a radiological challenge, with magnetic resonance imaging playing a key role in providing tumour specific imaging information. Diffusion weighted and perfusion imaging are commonly used to aid the non invasive diagnosis of paediatric brain tumours, but are usually ...
arxiv
Perfusion Linearity and Its Applications [PDF]
arXiv, 2010 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
Machine perfusion of the liver and bioengineering.
Journal of Hepatology, 2023 A. Schlegel +5 more
semanticscholar +1 more source
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation [PDF]
arXiv, 2019 Infarcted brain tissue resulting from acute stroke readily shows up as hyperintense regions within diffusion-weighted magnetic resonance imaging (DWI). It has also been proposed that computed tomography perfusion (CTP) could alternatively be used to triage stroke patients, given improvements in speed and availability, as well as reduced cost.
arxiv
The Journal of Heart and Lung Transplantation, 2023 N. Moeslund +8 more
semanticscholar +1 more source
Pump upgrade for machine perfusion at the Freeman Hospital in Newcastle [PDF]
, 2001 M. Gok +5 more
openalex +1 more source