AIMC Topic: Perfusion

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Deep-Learning-Based Preprocessing for Quantitative Myocardial Perfusion MRI.

Journal of magnetic resonance imaging : JMRI Nov 11, 2019
BACKGROUND: Quantitative myocardial perfusion cardiac MRI can provide a fast and robust assessment of myocardial perfusion status for the noninvasive diagnosis of myocardial ischemia while being more objective than visual assessment. However, it curr...
Magnetic Resonance Imaging Perfusion Retrospective Studies Deep Learning Image Processing, Computer-Assisted Humans
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Exploring the relationship between the speed-resolved perfusion of blood flux and HRV following different thermal stimulations using MSE and MFE analyses.

PloS one Jun 5, 2019
Our previous study employed the classic laser Doppler flux (LDF) to explore the complexity of local blood flow signals and their relationship with heart rate variability (HRV). However, microcirculation blood flow is composed of different velocity co...
Male Fuzzy Logic Regional Blood Flow Entropy Perfusion Heart Rate Female Temperature Adult Humans
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Experience With Hypothermic Machine Perfusion in Expanded Criteria Donors: Functional Outcomes.

Transplantation proceedings Sep 18, 2018
UNLABELLED: Hypothermic machine perfusion (HMP) decreases delayed graft function (DGF) and improves 1-year graft survival in expanded criteria donors (ECDs). Time of HMP could be associated with incidence of DGF.
Odds Ratio Middle Aged Perfusion Aged Cohort Studies Proportional Hazards Models Graft Survival Humans Adult Delayed Graft Function Cryopreservation Male Multivariate Analysis Tissue Donors Kidney Transplantation Logistic Models Female
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Improved perfusion pattern score association with type 2 diabetes severity using machine learning pipeline: Pilot study.

Journal of magnetic resonance imaging : JMRI Aug 5, 2018
BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with alterations in the blood-brain barrier, neuronal damage, and arterial stiffness, thus affecting cerebral metabolism and perfusion. There is a need to implement machine-learning methodolog...
Humans Cognition Disorders Linear Models Brain Female Diabetes Mellitus, Type 2 Male Brain Mapping Machine Learning Imaging, Three-Dimensional Prospective Studies Aged Middle Aged Perfusion Insulin Resistance Severity of Illness Index Longitudinal Studies Aged, 80 and over Pilot Projects Magnetic Resonance Imaging Cross-Sectional Studies
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Pharmacokinetic evaluation of intrapleural perfusion with hyperthermic chemotherapy using cisplatin in patients with malignant pleural effusion.

Lung cancer (Amsterdam, Netherlands) Dec 21, 2016
OBJECTIVES: Malignant pleural effusion (MPE) has a poor prognosis. Most patients are treated with tube thoracostomy and sclerotherapy, although its success rate is around 64%. We have investigated intrapleural perfusion with hyperthermic chemotherapy...
Hyperthermia, Induced Infusions, Intralesional Perfusion Pleural Effusion, Malignant Humans Cisplatin Pleural Cavity Prospective Studies Mesothelioma Female Pleural Neoplasms Middle Aged Aged Thoracic Surgery, Video-Assisted Lung Neoplasms Platinum Adult Male
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Supervised and unsupervised learning for lung perfusion data segmentation in electrical impedance tomography.

Biomedical physics & engineering express Jun 13, 2025
: Effective lung gas exchange relies on the balance between alveolar ventilation and perfusion, which can be disrupted in mechanically ventilated patients. Lung perfusion assessment using electrical impedance tomography (EIT) typically involves a sud...
Animals Perfusion Electric Impedance Neural Networks, Computer Support Vector Machine Lung Acute Lung Injury Swine Algorithms Unsupervised Machine Learning Tomography Image Processing, Computer-Assisted Supervised Machine Learning
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[Segmentation method of myocardial perfusion bull-eye for the degree of loss of cardiac ischemia].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2021
As one of the non-invasive imaging techniques, myocardial perfusion imaging provides a basis for the diagnosis of myocardial ischemia in coronary heart disease. Aiming at the bull-eye image in myocardial perfusion imaging, this paper proposed a branc...
Ischemia Humans Perfusion Myocardial Ischemia Neural Networks, Computer Image Processing, Computer-Assisted
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Retrospective Detection and Suppression of Dark-Rim Artifacts in First-Pass Perfusion Cardiac MRI Enabled by Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
The dark-rim artifact (DRA) remains an important challenge in the routine clinical use of first-pass perfusion (FPP) cardiac magnetic resonance imaging (cMRI). The DRA mimics the appearance of perfusion defects in the subendocardial wall and reduces ...
Humans Retrospective Studies Image Interpretation, Computer-Assisted Artifacts Myocardial Perfusion Imaging Deep Learning Magnetic Resonance Imaging Perfusion
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Deep Learning-Based Segmentation and Uncertainty Assessment for Automated Analysis of Myocardial Perfusion MRI Datasets Using Patch-Level Training and Advanced Data Augmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
In this work, we develop a patch-level training approach and a task-driven intensity-based augmentation method for deep-learning-based segmentation of motion-corrected perfusion cardiac magnetic resonance imaging (MRI) datasets. Further, the proposed...
Deep Learning Uncertainty Magnetic Resonance Imaging Heart Perfusion
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Forward Model and Deep Learning Based Iterative Deconvolution for Robust Dynamic CT Perfusion.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Perfusion maps obtained from low-dose computed tomography (CT) data suffer from poor signal to noise ratio. To enhance the quality of the perfusion maps, several works rely on denoising the low-dose CT (LD-CT) images followed by conventional regulari...
Perfusion Neural Networks, Computer Tomography, X-Ray Computed Signal-To-Noise Ratio Deep Learning
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