AIMC Topic: Perfusion Imaging

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Deep Learning Detection of Penumbral Tissue on Arterial Spin Labeling in Stroke.

Stroke Dec 30, 2019
Background and Purpose- Selection of patients with acute ischemic stroke for endovascular treatment generally relies on dynamic susceptibility contrast magnetic resonance imaging or computed tomography perfusion. Dynamic susceptibility contrast magne...
Brain Ischemia Magnetic Resonance Angiography Cerebrovascular Circulation Perfusion Imaging Spin Labels Diffusion Magnetic Resonance Imaging Retrospective Studies Deep Learning Stroke Humans
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Temporally downsampled cerebral CT perfusion image restoration using deep residual learning.

International journal of computer assisted radiology and surgery Oct 31, 2019
PURPOSE: Acute ischemic stroke is one of the most causes of death all over the world. Onset to treatment time is critical in stroke diagnosis and treatment. Considering the time consumption and high price of MR imaging, CT perfusion (CTP) imaging is ...
Humans Neural Networks, Computer Algorithms Stroke Brain Ischemia Signal-To-Noise Ratio Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Cerebrovascular Circulation Perfusion Imaging
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Stacked Bidirectional Convolutional LSTMs for Deriving 3D Non-Contrast CT From Spatiotemporal 4D CT.

IEEE transactions on medical imaging Sep 2, 2019
The imaging workup in acute stroke can be simplified by deriving non-contrast CT (NCCT) from CT perfusion (CTP) images. This results in reduced workup time and radiation dose. To achieve this, we present a stacked bidirectional convolutional LSTM (C-...
Stroke Perfusion Imaging Four-Dimensional Computed Tomography Brain Female Aged Male Middle Aged Deep Learning Humans
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Support vector machine-based multivariate pattern classification of methamphetamine dependence using arterial spin labeling.

Addiction biology Jan 9, 2019
Arterial spin labeling (ASL) magnetic resonance imaging has been widely applied to identify cerebral blood flow (CBF) abnormalities in a number of brain disorders. To evaluate its significance in detecting methamphetamine (MA) dependence, this study ...
Perfusion Imaging Spin Labels Methamphetamine Case-Control Studies Amphetamine-Related Disorders ROC Curve Cerebrovascular Circulation Support Vector Machine Young Adult Imaging, Three-Dimensional Humans Magnetic Resonance Imaging Adult Brain Area Under Curve Male
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Improving Arterial Spin Labeling by Using Deep Learning.

Radiology Dec 21, 2017
Purpose To develop a deep learning algorithm that generates arterial spin labeling (ASL) perfusion images with higher accuracy and robustness by using a smaller number of subtraction images. Materials and Methods For ASL image generation from pair-wi...
Spin Labels Adult Magnetic Resonance Angiography Brain Neoplasms Humans Middle Aged Cerebrovascular Circulation Algorithms Male Perfusion Imaging Machine Learning Stroke Reference Values Retrospective Studies Female
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Learning of speckle statistics for in vivo and noninvasive characterization of cutaneous wound regions using laser speckle contrast imaging.

Microvascular research Apr 27, 2016
Laser speckle contrast imaging (LSCI) provides a noninvasive and cost effective solution for in vivo monitoring of blood flow. So far, most of the researches consider changes in speckle pattern (i.e. correlation time of speckle intensity fluctuation)...
Image Interpretation, Computer-Assisted Immunohistochemistry Blood Flow Velocity Laser-Doppler Flowmetry Microcirculation Perfusion Imaging Skin Reproducibility of Results Supervised Machine Learning Animals Regional Blood Flow Sarcoma 180 Predictive Value of Tests Mice Area Under Curve Wound Healing Male Data Interpretation, Statistical Disease Models, Animal Time Factors ROC Curve
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Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification.

The British journal of surgery Jan 27, 2021
Aged Aged, 80 and over Coloring Agents Colorectal Neoplasms Indocyanine Green Male Humans Perfusion Imaging Artificial Intelligence Middle Aged Female Intraoperative Period
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