Precision Imaging of Cardiac Function and Scar Size in Acute and Chronic Porcine Myocardial Infarction Using Ultral-high-field MRI

Precision Imaging of Cardiac Function and Scar Size in Acute and Chronic Porcine Myocardial Infarction Using Ultral-high-field MRI

Medicine, Medical Imaging, Cardiovascular System, Life Sciences, Biophysics,
ultrahigh field   myocardial infarction   cardiac function   porcine model   MRI   scar detection  

Precision Imaging of Cardiac Function and Infarct Scar Size: A Study with Ultrahigh-Field MRI in Acute and Chronic Porcine Models of Myocardial Infarction Research Background Cardiac magnetic resonance imaging (MRI) is an accurate and highly reproducible technique for assessing cardiac function and volume. In recent years, ultrahigh-field (UHF) MRI...

Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning

Information Science, Artificial Intelligence, Medicine, Pediatrics, Medical Imaging, Oncology,
multitask learning   pediatric low-grade gliomas   MRI   tumor segmentation   deep learning  

Improved Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning Background Introduction The segmentation of pediatric brain tumors is a critical task in tumor volume analysis and artificial intelligence algorithms. However, this process is time-consuming and requires the expertise of neuroradiologists. Although significant research ...

Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth

Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Medical Imaging, Oncology,
Bayesian inference   tissue heterogeneity   glioma   MRI   tumor growth prediction  

Personalized Prediction of Glioma Growth Using Bayesian Inference Introduction Glioblastoma is the most aggressive type of primary brain tumor, characterized by highly invasive tumor cells that spread to surrounding tissues. Conventional medical imaging techniques cannot precisely identify these diffuse tumor boundaries, leading to suboptimal clini...

Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in Gliomas from MRI

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurosurgery, Medical Imaging, Oncology,
gliomas   IDH prediction   multi-level features   MRI   feature fusion  

Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in MRI Background Glioma is the most common malignant primary brain tumor in adults. According to the 2021 World Health Organization (WHO) classification of tumors, genotype plays a significant role in the classification of tumor subtypes, especially the isocitrate dehy...

Contemporary Cohort of Cerebral Cavernous Malformations: Natural History and Utility of Follow-Up MRI

Medicine, Neurology, Neurosurgery, Medical Imaging,
natural history   cavernous malformation   MRI   symptomatic hemorrhage   imaging   vascular disorders  

Natural History and MRI Follow-up of Patients with Cerebral Cavernous Malformations Background Cerebral cavernous malformations (CCMs) are vascular malformations of the brain and spinal cord lined by endothelial cells and lacking smooth muscle. Due to the disruption of endothelial cell permeability and tight junctions, patients may present with foc...