Articles tagged with Magnetic Resonance Imaging
Researchers found higher brain iron levels associated with cognitive deterioration in Alzheimer's disease, suggesting a potential role for iron chelators in treatment. Iron deposition was linked to amyloid beta and neurofibrillary tangles, disruptors of cell function.
A new study suggests that a type of MRI scan used for heart disease can also pick out aggressive cancers in children. The T1-mapping technique measures how water molecules interact inside cells, allowing clinicians to understand the cellular make-up of tissue and spot early signs of treatment effectiveness.
Researchers developed a new quantum sensing technique that allows high-resolution NMR spectroscopy on small molecules in dilute solution, achieving femtomole molecular sensitivity. This breakthrough enables chemical analysis and magnetic resonance imaging at the level of individual biological cells.
A study finds that distal femoral cortical irregularities (DFCI) occur in over half of young competitive alpine skiers, primarily due to repetitive stress on tendon attachment sites. DFCI should not be mistaken for cancer or infection and are associated with increased bone remodeling and fibrous proliferation.
A new multi-institutional study found patterns of abnormal brain MRI findings in patients with severe COVID-19, including signal abnormalities in the medial temporal lobe and non-confluent multifocal white matter hyperintense lesions. The study suggests that imaging and neurological follow-up are crucial to evaluate prognosis.
Researchers at UT Southwestern Medical Center have developed new MRI techniques to more precisely target brain structures linked to Parkinson's disease and essential tremor. These methods, including diffusion tractography, aim to reduce adverse effects associated with previous treatments.
A new machine learning approach classifies gliomas into low or high grades with near-perfect accuracy, enabling clinicians to choose the most effective treatment strategy. Researchers developed the method using MRI scans from over 200 patients and achieved an accuracy rate of 97.54%, outperforming state-of-the-art approaches.
A new MRI scan algorithm can detect small changes in knee joints over time, enabling researchers to develop new treatments for arthritis. The algorithm creates a three-dimensional model of an individual's knee joint and automatically identifies areas of cartilage breakdown.
High-resolution imaging of human placenta reveals uniform oxygenation levels and efficient blood flow, while also discovering rapid draining from veins and utero-placental pump contractions that facilitate better circulation and fetal growth. These findings improve placental models and optimize MRI protocols for better diagnosis.
Researchers at UC Davis developed a new double-contrast technique that uses magnetic resonance imaging to detect small tumors in normal tissue. The technique, called two-way magnetic resonance tuning (TMRET), increases the signal contrast between tumors and surrounding tissue, enabling more sensitive detection of early-stage tumors.
Researchers found elevated levels of gadolinium in Tokyo river water, particularly near treatment plants, highlighting the need for new policies and removal technologies as MRI become more widespread.
A recent study presents an automatic method to detect and segment the intrauterine cavity using artificial intelligence and deep learning techniques on MRI data from 71 pregnancies. The proposed method achieves high segmentation performance, highlighting its potential for use in daily clinical practice as a surgical planning method.
A new technique uses magnetic core-shell iron nanowires to track live-cell location and migration in real-time over many days, with potential applications in cancer treatment and stem cell therapies. The nanowires can selectively kill cancer cells while also providing noninvasive medical imaging capabilities.
A new study developed a non-invasive molecular imaging approach using dynamic MRI to measure glucose level changes in the brain lymphatic system. This method helps identify Alzheimer's disease at early stages, allowing treatments to start promptly. The technique uses glucose as a 'tracer' and is compatible with existing MRI machines, m...
Researchers used magnetic resonance imaging to detect fetal brain impairments in rhesus macaques exposed to alcohol during pregnancy. The study suggests that early detection of fetal-alcohol syndrome could lead to timely therapy and improved outcomes.
Scientists at Sanford Burnham Prebys and Loma Linda University Health have demonstrated the promise of applying magnetic resonance imaging (MRI) to predict the efficacy of using human neural stem cells to treat a brain injury. The researchers found that rats with larger penumbra areas surrounding brain injury, which received human neur...
A new study suggests that machine learning and AI in medical image reconstruction algorithms can result in myriad artefacts and major errors, leading to false positives and false negatives. The effects were typically not present in non-AI based imaging techniques.
A study published in Brain found that a lag in blood drainage from the deep region of the brain is associated with ventriculomegaly and can be detected with MRI. The researchers identified this biomarker as a potential predictor for dementia and ventriculomegaly, which can be reversed by removing excess fluid.
Researchers demonstrated optical polarization and reading of electronic spin color centers in boron nitride. The study proposes a microscopic model of the center, a boron vacancy in a negative charge state, and shows potential for vander Waals materials in atomic-scale quantum technologies.
Researchers compare whole-body diffusion-weighted MRI to FDG PET and find significant agreement in tracking tumor response to therapy, raising the possibility of using DW MRI as a replacement for CT scanning.
A new AI algorithm can predict Alzheimer's disease risk with high accuracy using a combination of brain MRI scans, cognitive impairment tests, and demographic data. The algorithm also provides interpretable visualizations of individual disease risk, leading to more accurate diagnoses.
Researchers have developed an MRI scanning technique that enables the detection of sodium metal ions in batteries, providing unprecedented insights into their behavior during operation. This allows for the identification of failure mechanisms and the development of longer life and higher performing batteries.
A new randomized control trial will examine the effectiveness of Goal Management Training, a cognitive remediation strategy, in improving functional outcomes among first responders with PTSD. The study aims to understand changes in brain structure and function using magnetic resonance imaging.
Early alcohol exposure affects motor control brain regions in monkeys, and may be detectable via non-invasive in utero MRI. The study suggests that diagnostic tools for fetal alcohol syndrome could be developed as early as the third trimester.
A new approach to combine CT and MRI data in one 3D image helps solve uncertain findings in coronary artery disease diagnosis. The technique correlates specific stenoses with possible cardiac scar tissue and ischemia, guiding revascularization procedures.
A new study found that long-duration space travel can cause expansions in the brain's white matter and combined brain and cerebrospinal fluid volumes. The researchers also observed alterations to the pituitary gland, a pea-sized structure at the base of the skull, suggesting elevated intracranial pressure during spaceflight.
Researchers at Tohoku University have developed a technique to visualize stiffness in soft tissues using x-rays, offering greater resolution than current methods like ultrasound and MRI. This allows for the identification of smaller and deeper tissue problems, such as lesions, which can be indicative of early-stage diseases.
Researchers at the University of Montreal developed an AI technique to better define brain sections in newborns using MRI exams. This innovation enables quick, accurate, and reliable analysis of baby brains, supporting research on brain development and neuroprotection.
Researchers have created a device that uses sound waves to produce high-resolution images of the human brain, potentially revolutionizing brain imaging. The technology could be suitable for continuous monitoring of high-dependency patients and overcome obstacles with current MRI methods.
Assistant Professor Fabrizio Sergi at the University of Delaware received a NSF CAREER Award for his work on motor control and brain-body interaction using MRI-compatible robots. His research aims to improve neurorehabilitation practices for individuals with motor impairment, such as stroke survivors.
A new study published in Radiology: Cardiothoracic Imaging found that healthy men and women have distinct blood flow characteristics in their hearts. The research used 4D flow MRI to analyze gender differences in the left ventricle, revealing higher kinetic energy in men and greater strain in women.
Purdue University researchers have created a novel way of doing some medical imaging using formable and stretchable RF coils. The technology provides an excellent signal-to-noise ratio for enhanced MRI scanning, making it more comfortable and accessible for patients.
A study published in JAMA found abbreviated breast MRI to be more effective than digital breast tomosynthesis in detecting breast cancer in women with dense breasts. The test detected significantly more cancers and showed promise as a new screening tool for these patients.
Researchers at Case Western Reserve University and Cleveland Clinic have developed a new method to determine the relative life expectancy of glioblastoma patients using AI, MRI scans, and genomic analysis. This approach identifies patients who could benefit from experimental clinical trials.
Joint capsule edema and thickness at the axillary recess are useful predictors of stiff shoulders in patients with rotator cuff tears. MRI findings also show associations between tear size, location, and preoperative passive range of motion.
A new collaborative study has developed a way to measure microscopic axons using MRI, revealing unprecedented accuracy and opening up new research possibilities. The method overcomes the long-standing challenge of probing axons non-invasively inside a living brain.
A portable, low-field Magnetic Resonance Imaging (MRI) system has been developed to provide safe and practical brain imaging at a patient's bedside, according to preliminary research. The device used 85 stroke patients, with most completing the exam in under 30 minutes, while factors like claustrophobia halted some tests.
A team of researchers has created a novel organic and biodegradable compound for MRI contrast agents, eliminating the need for heavy metals like gadolinium. The new agent is developed by attaching an organic radical contrast agent to a plant virus and wrapping it in a protective chemical cage.
A UCLA-led study found that six blood proteins can be used to gauge a person's risk for cerebral small vessel disease, which affects an estimated 11 million older adults in the U.S. The test correlates with white matter changes in the brain and provides a more quantitative scale for evaluating the disease.
A recent study published in Scientific Reports found that daily smoking and heavy drinking may be associated with modest increases in relative brain age. Researchers used machine learning methods and MRI to analyze data from over 17,000 individuals and discovered a correlation between smoking habits and increased brain age.
A groundbreaking study published in PNAS used a multi-modal precision health platform to identify adults at risk of key health conditions, including cancer, heart disease, and neurological disorders. The study found that integrating whole-genome sequencing with advanced imaging and blood metabolites led to clinically significant findin...
Hyperpolarized 13C-Magnetic resonance imaging (HP 13C-MRI) reveals the conversion of pyruvate into lactate in breast cancer tumors, associated with higher tumor grades. The study suggests HP 13C-MRI as a noninvasive tool for characterizing and monitoring breast tumors.
Researchers from UMA developed a method using deep learning to increase brain image quality and detection of pathologies with increased accuracy. This breakthrough technique enables specialists to identify brain-related disorders more accurately and definitionally, reducing the need for additional tests.
Researchers found structural brain connectivity changes between migraine patients and healthy volunteers, as well as between episodic and chronic migraine patients. Strengthening connectivity was observed in areas implicated in migraine's pathophysiology, while weakening connectivity patterns were seen in the temporal lobe of migraine ...
Research reveals that early-life deprivation is associated with reduced total brain volume and altered brain structure, even after years of environmental enrichment. This study suggests that early adversity can have lasting impacts on adult brain development.
Researchers found that specific patterns of brain connectivity were associated with the development of attention-deficit/hyperactivity disorder (ADHD) and major depressive disorder. By examining brain architecture at age 7, the study identified potential links between brain development and later mental health symptoms in children.
A 1999 MRI study published in The BMJ found that the penis is shaped like a boomerang during sex, challenging previous assumptions. Additionally, it revealed that the size of the uterus does not increase during female sexual arousal, contrary to previous reports.
A recent study found that low back pain accounts for approximately one-third of new emergency department imaging in the US. Imaging utilization varies significantly by region, with patients in the southern US undergoing more imaging than those in the western US.
A study by Queen Mary University of London suggests regular cannabis use may be associated with an enlarged left ventricle and early signs of impaired heart function. However, further research is needed to confirm these findings and understand the cardiac impact of recreational cannabis use.
Researchers found that professional drummers have fewer but thicker fibres in the corpus callosum, a brain structure responsible for motor planning. This leads to more efficient brain organisation and better performance in drumming tasks. The study also revealed that drummers' brains are less active in motor tasks.
Physicists at UC Riverside have designed an experiment to demonstrate magnetic resonance using a compass, aligning with the need for accessible explanations of medical imaging. The project, developed by undergraduate students and local high school teachers, showcases a hands-on, table-top approach to improving scientific literacy.
Researchers develop new diagnostic techniques to detect a leaking blood-brain barrier and a new anti-inflammatory drug that slows or reverses age-related cognitive decline. The studies show promise for diagnosing and treating brain diseases, including Alzheimer's disease and dementia.
A new methodology to monitor patients with glioblastoma has been developed at the Universitat Politècnica de València, using Magnetic Resonance Images and biomarkers to track tumor growth and edema. The tool has been validated in a multicenter study involving seven European hospitals.
A study by Dr. Michael L. Lipton and colleagues discovered a significant correlation between oral contraceptive use and reduced hypothalamic volume in 50 healthy women. The findings suggest potential effects on mood regulation and emotional processing.
A new study reveals that concussion damage affects the way information is transmitted between brain hemispheres. Researchers found a delay in reaction time when processing words presented to the left visual field, indicating a problem with information crossing from one hemisphere to another.
A team led by Professor Sylvain Martel developed a robotic platform using the fringe field of an MRI scanner to guide medical instruments through deeper and more complex vascular structures. The approach has been successfully demonstrated in-vivo, opening up new horizons for minimally invasive procedures.
Researchers at the University of Pittsburgh are using advanced MRI technology to study the connection between small vessel disease and Alzheimer's disease, aiming to identify new prevention and treatment targets. The team will visualize cerebrospinal fluid flow in real-time, shedding light on pathways linking SVD and CSF clearance.
A new study presents a novel MRI-guided procedure that effectively treats prostate cancer with minimal side effects. The technique, called TULSA, uses therapeutic ultrasound to destroy diseased prostate tissue while sparing healthy nerve tissue.
Researchers identified key brain areas linked to limited sense of touch, including somatosensory cortex and prefrontal cortex. The study supports findings from previous research on body awareness and discovers new brain regions associated with touch perception.
Researchers found brain damage in obese adolescents related to inflammation, particularly in regions controlling appetite and emotions. The study used MRI to track white matter damage and correlated it with inflammatory markers such as leptin and insulin.