Articles tagged with Medical Imaging
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
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Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Researchers found that increasing melanin levels in human skin reduces Cherenkov emission intensity, while blood concentration affects different color channels. The study suggests using multispectral signatures to correct attenuated signals based on patient's blood volume or skin color.
Researchers at the University of Sheffield have developed a new ultrasound method to measure tissue tension, which can indicate abnormal tissue, scarring, and cancer. This breakthrough technique uses sound waves to detect forces within soft tissue, enabling earlier disease diagnosis and potentially improving healthcare outcomes.
A team of POSTECH researchers has developed a deep learning-based multimodal fusion network for segmentation and classification of breast cancers using B-mode and strain elastography ultrasound images. The method achieved high accuracy in distinguishing benign from malignant lesions, outperforming conventional methods.
A new method for image reconstruction in electrical impedance tomography has been developed by Prof. DU Jiangfeng's team, enabling high-quality images without training data. This innovation provides crucial theoretical support for the application of electrical impedance tomography in various diseases.
Automated AI body composition tools achieved high technical adequacy rates (97.8-99.1%) in a large sample of external abdominal CT scans. The results support the generalizability and potential for widespread adoption of these tools, which can help build trust among radiologists and physicians.
Researchers created adaptive optical phantoms by combining multiple pigments to mimic target tissue's optical properties, successfully validating them in extensive experiments. The new platform enables broader band spectra for emerging hybrid modalities and novel instruments.
A new project aims to expand the network of European bioimage analysts and make cutting-edge techniques accessible globally. The initiative will support career development for young researchers and enhance collaboration among imaging and life science communities.
Researchers have developed a novel approach for imaging red blood cells and oxygenation using color TSFG microscopy, enabling label-free visualization of RBCs. The technique provides chemically specific contrast and can measure oxygenation dynamics in vivo, with potential applications in medical technology and biological studies.
Researchers at the Queensland Brain Institute developed a new ultrafast fMRI technique to study brain activity. The technique revealed that brain activity follows preferential circuits depending on cell type organisation, and blood signals can reflect network organisation and cell type distribution.
Researchers from the University of Tsukuba have found distinct changes in brain activity patterns that can differentiate between Alzheimer's disease and Lewy body dementia. These changes were present before symptoms emerged and could be detected using conventional MRI.
The Chan Zuckerberg Initiative grant will support advanced imaging training for over 2,000 scientists through a combination of hands-on events and online resources. Array tomography, an imaging technique that offers higher resolution and detailed molecular labeling, will be a key focus of the project.
Scientists at Göttingen University have created a novel approach to produce X-ray images in color from a single exposure, eliminating the need for focusing and scanning. This breakthrough method uses an X-ray color camera and a specially structured plate to capture the intensity pattern of fluorescing atoms in a sample.
Researchers developed a novel, calibration-free, and reconstruction-free imaging technique that directly obtains a clear image from a single shot of speckle images. The method uses real-time video imaging to build a three-dimensional image, taking slices through the speckles.
Researchers at Beckman Institute for Advanced Science and Technology will use a unique combination of MRI and mass spectrometry imaging techniques to study Alzheimer's disease on an unprecedented scale. By capturing detailed chemical information, they aim to understand the molecular-level changes that occur in aging brains and develop ...
A study found that nearly half of Medicare patients with non-small cell lung cancer do not receive the recommended FDG PET/CT imaging prior to radiation therapy, leading to decreased overall and cancer-specific survival rates. This lack of adherence is linked to greater mortality rates.
Researchers analyzed MRI images of Olympic athletes' injuries during the 2020 Tokyo Games and found that those with tendon tears were more likely to drop out. The study aims to improve injury management and prevention by understanding different types of muscle injuries and their outcomes.
A recent study from West Virginia University found that states permitting nurse practitioners to exercise full practice authority (FPA) tend to have a more diverse and racially aligned NP workforce. In FPA states, Black NPs serve 2.8% more Black Medicare beneficiaries than in non-FPA states.
Researchers found that individuals who were resistant to anaesthesia had fundamental differences in the fronto-parietal regions of the brain, which could be predicted prior to sedation. These brain differences may require higher doses of propofol for individuals to become nonresponsive.
KAUST researchers have designed and built novel organic scintillator materials for detecting X-rays at low doses, overcoming stability issues with existing ceramic or perovskite materials. The new approach uses heavy atoms to improve X-ray absorption capability and exciton utilization efficiency.
Researchers found that MMTV-NeuT/ATTAC mice treated with anti-PD-1 therapy developed increased tumor-associated macrophages, EMT, fibroblast proliferation, and enhanced extracellular matrix. These findings suggest potential therapeutic avenues to enhance PD-1 immune checkpoint sensitivity.
Researchers developed an innovative deep learning-based approach to classify epileptic seizures in near real-time, overcoming clinical limitations. The system uses action recognition with intelligent 3D cropping to distinguish between frontal and temporal lobes seizures or non-epileptic events.
The procedure requires thorough pre-procedural evaluation and assessment of anatomical and hemodynamic data. Long-term results indicate that TPVR can effectively restore RVOT function, while improving survival rates and reducing the need for reintervention across age groups. Vigilant testing is recommended to avoid rare but serious com...
Researchers from Nagoya University found that 5G network telemedicine is effective in providing telerehabilitation and teletreatment in a remote community. The study showed that 5G transmitted high-definition images with low latency, reducing the need for physical therapist visits and improving patient outcomes.
A new mesoscopic oblique plane microscopy method captures up to three times more resolvable image points than other similar systems, enabling whole-body volumetric recordings of neuronal activity and blood flow dynamics. The technique allows for single-cell tracking within the complete 3D circulation system for the first time.
A study published in the American Journal of Roentgenology found that reconstruction using BI64 kernel and 0.4-mm slice thickness yielded improved bronchial division identification and pulmonary fissure sharpness without loss in pulmonary vessel sharpness or pathology conspicuity.
Researchers developed a novel optical technique to directly monitor cerebral oxygen consumption and blood flow in real-time. The technique uses phosphorescent probes to track the brain's oxygen gradient, providing valuable insights into brain activity and metabolism.
A new deep learning model using conditional generative adversarial networks (cGANs) has been developed to diagnose bowel ischemia. The model achieved an accuracy of over 93% in segmenting ischemic intestine images, surpassing current subjective methods.
Researchers found variable voltages in breast cancer cell membranes, which may indicate an electrical communication network between cells. This discovery could lead to new treatments by disrupting this network, potentially making cancer cells easier to treat.
Researchers at Duke University have developed a new method called 3D Tracking and Imaging Microscopy (3D-TrIm) to capture real-time 3D footage of viruses approaching cells. This technique combines two microscopes in one, allowing scientists to study the early moments before infection begins and how viruses navigate complex barriers.
Researchers develop hybrid brightfield-darkfield transport of intensity approach, expanding accessible sample spatial frequencies and achieving 5-fold resolution increase. This method enables precise detection and quantitative analysis of subcellular features in large-scale cell studies.
Dual-energy CT (DECT) metrics provide insight into physiologic changes after lung cancer surgery, beyond PFTs and conventional CT. Lung perfusion ratio increases were greater after lobectomy than limited resection.
A new project aims to create more race-inclusive AI in medicine by developing a distributed, inclusive data collection and learning framework that relies on smartphone apps. The framework uses federated learning, which allows models to be trained on device data while protecting user privacy.
A deep learning algorithm trained on adult populations shows improved sensitivity for diagnosing thyroid nodules in children, with higher accuracy than traditional ACR TI-RADS. The study suggests the potential benefits of this new approach for evaluating thyroid nodules in younger patients.
A study published in the American Journal of Roentgenology found that large specialized referral centers for complex IVC filter retrievals achieved a 100% success rate and low adverse event rates. Prolonged filter dwell time was identified as an independent predictor of adverse events.
Researchers from Xi'an Jiaotong-Liverpool University found that brain stimulation combined with a nose spray containing nanoparticles can improve recovery after ischemic stroke. The treatment increased cognitive and motor functions, and weighed more quickly than those treated with TMS alone.
Researchers used advanced imaging techniques to understand the structure of bacterial propellers, which are made of a single protein. The study reveals that bacteria push themselves forward by coiling these appendages into corkscrew shapes, and that similar structures have evolved independently in archaea.
Reduced kidney function and increased urine albumin excretion are associated with brain volume reduction in regions typically affected by Alzheimer's disease and other dementia etiologies. Cognitive decline is common in patients with kidney disease, and this study provides new insights into the etiology and localization of brain damage.
Researchers developed lanthanide-doped fluoride nanoparticles that exhibit superior photostability, low toxicity and convenient device processability. These particles also show promising applications in biomedicine and optical information encoding, enabling broadband detection in theory.
A pilot study published in AJIC suggests that portable thermal imaging cameras can detect color changes reflecting drops in temperature after applying alcohol-based hand sanitizer. The findings have promise for improving hand hygiene practices among healthcare professionals.
A novel 937-nm laser source has been developed for multiphoton microscopy, enabling deep tissue imaging at depths of over 600 µm with only 10 mW of power. This breakthrough technology offers a good balance between sensitivity, penetration depth, and imaging speed.
Researchers at Washington University in St. Louis have invented a technique to generate Airy beams in water using 3D-printed binary acoustic metasurfaces, enabling broad applications in biomedical imaging and therapy.
Researchers at Mayo Clinic Comprehensive Cancer Center found that metabolic imaging, combined with traditional treatment response assessment methods, can provide critical information to guide therapy for pancreatic cancer patients. The use of positron emission tomography (PET) with 18-fluorodeoxyglucose (FDG) tracer adds significant pr...
The study found a significant increase in the use of single-encounter thoracoabdominopelvic CT examinations and minor injuries between 2011-18. In commercially insured patients, rates rose from 3.4 to 9.8 for single-encounter thoracoabdominopelvic CT per 1,000 trauma-related ED encounters.
Researchers developed a label-free Raman spectroscopy approach with enhanced sensitivity and speed, allowing for non-invasive imaging of biological samples. The new CARS microscopy system can acquire microscopic images and identify biomolecules with unprecedented resolution and speed.
A recent study by Massachusetts General Hospital found that urgent care centers can divert imaging tests away from emergency departments after spinal trauma, resulting in cost savings. The study analyzed data from May 2021 to August 2021 and estimated annual savings of $437,928.
A study published in the American Journal of Roentgenology found that combining deep-learning reconstruction with a subtraction technique yielded optimal diagnostic performance for detecting in-stent restenosis by coronary CT angiography. This approach reduced radiation exposure while maintaining high image quality.
Researchers at Washington University in St. Louis developed a new imaging tool that uses optical coherence tomography (OCT) and machine learning to detect and classify cancerous tissue samples with high accuracy. The technique, which was tested on patients in a trial, showed a 93% diagnostic accuracy rate.
A retrospective study found that patients with multiple architectural distortions on digital breast tomosynthesis were more likely to have high-risk pathology, but not significantly different frequencies of malignancy. Biopsy of all areas may be warranted for these patients.
Gwangju Institute of Science and Technology researchers have developed a rabbit-scale three-dimensional magnetic particle imaging system that can scan large volumes at high resolution. The system uses amplitude modulation to minimize peripheral nerve stimulation while maintaining high image quality.
A retrospective study of molecular breast imaging (MBI) findings suggests that the MBI lexicon's lesion descriptors can inform interpretation and guide the incorporation into the BI-RADS Atlas. The study found high positivity rates for malignancy among mass lesions, those with marked uptake intensity, and certain distribution patterns.
A study found that patients with a specific form of age-related macular degeneration are at significant risk for cardiovascular disease and stroke. Researchers discovered a strong association between the disorder's subretinal drusenoid deposits and high-risk vascular diseases.
A joint study by HKUST and HKUMed researchers has identified a broadly neutralizing antibody, ZCB11, that protects Syrian hamsters against all SARS-CoV-2 Omicron variants. The antibody demonstrates potent antiviral activities and can protect lung infection under both prophylactic and therapeutic conditions.
A multicenter study found that radiologists can accurately diagnose rickets and classic metaphyseal lesions (CMLs) with high interobserver agreement and diagnostic performance. The study highlighted the importance of considering age factors in diagnosis, as CMLs mostly occur in children younger than 6 months.
Researchers develop speckle-based compressive imaging technique to improve deep-tissue imaging in Alzheimer's disease studies. The method reduces pixel measurements needed, producing high-resolution images up to 11 times faster and three times bigger than traditional raster-scan approach.
A 5-tiered CT scoring algorithm, including mass-to-cortex corticomedullary attenuation ratio and heterogeneity score, showed substantial inter-observer agreement and moderate diagnostic accuracy for clear-cell RCC. The algorithm may represent a clinically useful tool for diagnosis in small solid renal masses.
The Journal of Nuclear Medicine has achieved an impact factor of 11.082, a 10% increase over last year's score of 10.057. This marks the highest impact factor in the journal's history, reflecting the growing importance of nuclear medicine as a whole.
Scientists studied embryonic development in fish and cartilaginous fish, revealing that the jaw shares a common developmental origin with the gill. The findings support the theory that the jaw evolved by modification of an ancestral gill, which was previously considered controversial.
A scoping review of knowledge graph applications in medical imaging analysis identifies increasing trend and potential future directions. The study highlights the effectiveness of prior knowledge in medical imaging tasks, but also reveals limitations, including limited annotated data and weak generalizability.
A newly developed small-molecular radiopharmaceutical pair has successfully visualized and treated melanoma in a preclinical study. The theranostic approach targets metabotropic glutamate receptor 1 (GRM1) found in many human solid tumors.
A prospective randomized study found that an AI support platform reduced chest CT interpretation times by 22.1%, saving approximately one hour per day for radiologists. The platform provided automated analysis of cardiac, pulmonary, and musculoskeletal findings, resulting in shorter interpretation times.