Magnetic resonance imaging
A new study has shed light on the hierarchical network disruptions in Schizophrenia, providing a multi-level framework for understanding the brain's functional connectivity in this disorder. Researchers at the Plekhanov Russian University of Economics have used resting-state functional magnetic resonance imaging (fMRI) to investigate the brain's
Magnetic resonance imaging
A new study has shed light on the hierarchical network disruptions in Schizophrenia, providing a multi-level framework for understanding the brain's functional connectivity in this disorder. Researchers at the Plekhanov Russian University of Economics have used resting-state functional magnetic resonance imaging (fMRI) to investigate the brain's
Magnetic resonance imaging
US President Donald Trump's sudden revelation of undergoing an MRI and cognitive test has sparked fresh concerns about the secrecy surrounding his health. Trump, 79, shared the information with reporters aboard Air Force One, but refused to provide any further details. The revelation comes amidst criticism of Trump&
Magnetic resonance imaging
Researchers are working to develop new protocols for pediatric neuroimaging studies, which are critical for understanding brain development in early childhood. Early childhood is a period of significant developmental changes in the brain, marked by improvements in language, memory, and socioemotional skills. However, assessing changes in brain structure and function
Magnetic resonance imaging
Researchers are working to develop new protocols for pediatric neuroimaging studies, which are critical for understanding brain development in early childhood. Early childhood is a period of significant developmental changes in the brain, marked by improvements in language, memory, and socioemotional skills. However, assessing changes in brain structure and function
Magnetic resonance imaging
President Donald Trump revealed Monday that he had undergone an MRI during a recent evaluation at Walter Reed National Military Medical Center, but declined to provide any further information about the reason for the imaging test. The 79-year-old president's health has been a subject of concern in recent
Cancer
As part of a major modernization project, the Abbotsford Regional Hospital and Cancer Centre is undergoing a $4.95 million upgrade to its MRI department, featuring advanced technology to produce clearer images and detect various health conditions. The new refurbished MRI is expected to be operational next year and will
Electromagnetism
Researchers at Vanderbilt University Institute of Imaging Science have developed a novel co-simulation framework that enables fast and accurate optimization of passive resonators for magnetic resonance imaging (MRI) technology. The framework combines electromagnetic (EM) and RF circuit simulations to manipulate RF field distributions in MRI, significantly reducing computational burden while
Beijing University
Researchers at Peking University in Beijing, People's Republic of China, have developed a novel super-resolution approach that enables rapid and high-quality MRI data acquisition through an unsupervised learning framework. This methodology uses transformers to exploit long-range spatial dependencies present in images, allowing for improved signal-to-noise ratio and contrast-to-noise
Biomimetics
Researchers from National Yang Ming Chiao Tung University have developed a multifunctional theranostic system using biomimetic red blood cell membrane-coated FePt metal-organic framework nanoparticles, which enhances MRI diagnosis and targeted therapy for hepatocellular carcinoma (HCC). This innovative approach has the potential to bridge molecular biology and clinical imaging, advancing personalized
Artificial neural networks
Researchers from the University Hospital Center Vaudois have conducted a pilot study to investigate the resilience of neural networks in patients who have suffered from severe COVID-19. The study, published in Brain Sciences, assessed the activation patterns of neural networks in patients who had been hospitalized in intensive care units
Artificial neural networks
Researchers from the University of Naples Federico II in Naples, Italy, have made a breakthrough in the field of big data and cognitive computing, developing an automated method for bone segmentation in magnetic resonance imaging (MRI) scans. The method uses a 3D U-Net convolutional neural network to segment the femur,
