Articles tagged with Medical Imaging
Researchers developed a molecular agent that can target lung and other cancer cells for imaging and treatment, distinguishing between healthy and cancerous cells. The new approach uses a unique chemistry method to tune the reactivity of the molecule, avoiding off-target effects.
Researchers have trained a neural network to detect anomalies in medical images, adapting it to the nature of medical imaging and achieving better results. The new method uses weakly supervised training and can spot small-scale anomalies, accelerating the work of histopathologists and radiologists.
A deep learning algorithm from VUNO improved radiologists' sensitivity for detecting reticular opacity on chest radiographs in patients with mild to severe interstitial lung disease. The algorithm accuracy reached 98.5% and improved interobserver agreement, suggesting its potential for screening suspected ILD patients.
A recent study from Penn State and Lawrence Livermore National Laboratory has discovered a natural protein called lanmodulin that can recover and purify radioactive metals like actinium. The protein-based approach simplifies the purification process, reduces costs, and enables the production of higher-purity actinium.
Scientists developed a fluorescent spray that specifically targets and illuminates cancerous tissue, enabling precise tumor detection and removal during surgery. The innovative approach offers a solution to the challenge of distinguishing between healthy tissue and cancerous cells.
The USC Stevens INI is partnering with Vanderbilt University Medical Center and the University of Miami to merge Alzheimer's disease data from over 30 datasets, producing a large-scale, standardized set of clearly defined data. This harmonization will enable large-scale machine learning analysis to better characterize the genetic basis...
A retrospective cohort study of 27 patients with sarcoma lung metastases found high primary technical success rates for percutaneous image-guided microwave and cryoablation. The treatment modality and tumor location did not affect local progression, and smaller tumors showed lower cumulative incidence of local progression.
A prospective study found that liver stiffness measurements obtained by shear-wave elastography decreased significantly after image-guided intervention for chronic Budd-Chiari syndrome in children. Disease recurrence was typically associated with an increase in liver stiffness measurements compared to prior assessments.
Researchers developed a non-toxic, small-molecule probe that provides real-time visualization of disease progression, overcoming limitations of MRI and PET imaging. The probe binds copper ions and detects dysregulated levels, accurately identifying Wilson's disease and other maladies.
A recent study published in AJR found that gallbladder polyps can fluctuate significantly in size and number over time. The authors suggest revising guidelines to reflect this variability, with no cases of gallbladder carcinoma identified in patients who underwent cholecystectomy.
Scientists have developed a technique to enhance digital sensor capabilities beyond current limits, enabling applications in consumer photography, medical imaging, and space exploration. The new approach uses 'modulo' sampling to process a wider range of information, unlocking high dynamic range for sensors.
A Dartmouth research team has been selected to present their abstract on a new advancement in Cherenkov imaging at the ASTRO Annual Meeting. The work, which involves designing a color-sensitive camera to image Cherenkov emission from patients, allows for more accurate quantification of radiation delivery and safe treatment.
A team of neuroscientists at the Beckman Institute developed safety standards for multiband EEG-fMRI imaging, reducing heating risks and maintaining data quality. By establishing protocols to mitigate artifacts, they enabled the use of accelerated fMRI sequences with EEG recordings.
A single-center retrospective study found that preoperative thoracic CT findings can complement preoperative clinical risk factors to improve risk assessment for the need of postoperative mechanical ventilation. Bronchial wall thickening, pericardial effusion, and anteroposterior chest diameter were identified as independent predictors...
Researchers at UCLA have developed a computational technique powered by artificial intelligence that transforms images of tissue previously stained with H&E into new ones with added special stains. The process takes less than one minute per tissue sample, significantly improving diagnoses in medical conditions such as organ transpl...
A team of researchers is developing a smartphone-based device that can predict the size of aortic aneurysms and detect fluid overload in postpartum women. The device uses arterial waveforms, which can be easily recorded with a smartphone camera or smart scale, to provide a non-imaging solution for AA screening.
Researchers developed a new phosphorescent material inspired by wood's natural ability to faintly glow, using lignin trapped within a 3D polymer network. The material glows visibly for around one second and has potential applications in medical imaging, optical sensing, and textile industry.
A new study from University of California - San Diego suggests that protein deposits in the retina and brain may be a sign of Alzheimer's disease risk. Retinal imaging may potentially serve as an early biomarker for detecting AD risk, offering a non-invasive alternative to traditional brain scans.
Scientists from Osaka University create optical imaging system that can capture over a million cells in a single image, enabling simultaneous observation of centimeter-scale dynamics with micrometer resolution. This technology, termed 'trans-scale scope,' may accelerate research in fields such as neuroscience, oncology, and immunology.
A deep learning tool for sarcopenia assessment on CT scans shows similar utility in predicting hip fractures and death at both L1 and L3 vertebral levels. Muscle attenuation measurements performed better than muscle area assessments, likely due to the inclusion of intramuscular fat.
The researcher is investigating the inflammatory responses produced by exposure to chemical agents, comparing different chemical exposures at both whole-body and tissue levels. The study aims to develop a common treatment for chemical exposures and diagnose the responsible chemicals.
A team of Beckman researchers developed software to boost infrared imaging-based cancer diagnosis, enhancing image resolution and accelerating recording speeds. The software integrates data analysis and reduces limitations associated with IR imaging, making it faster and more accurate.
Researchers at University of Bonn found that fixing objects slightly away from the center of cone density improves overall vision. The observed image shift is due to the varying resolution across the human retina, with sharper areas in the fovea and less sharp areas in the periphery.
A retrospective study of over 3,900 patients found that warming iohexol 350 contrast media did not significantly reduce adverse reactions or extravasations. The results suggest that maintaining the agent at room temperature is non-inferior to warming it to body temperature before injection.
Researchers developed nanoscale sensors that can convert brain electrical activity into optical signals detectable outside the body. These sensors, called NeuroSWARM3, offer a non-invasive way to track brain activity and could one day enable people with physical disabilities to interact with the world and control wearable technology.
Researchers developed novel imaging approach to visualize eggs and embryos in live animals, revealing complex dynamics of egg and embryo transport. The findings have important implications for studies of fertilization, embryogenesis, and in vitro fertilization.
Scientists from the University of Tsukuba used radio-frequency imaging to detect nitrogen-vacancy defects in diamond with improved resolution. The technique, called spin-locking, enhances accuracy and sensitivity by shielding electron spin from random noise.
A team of researchers has developed a new imaging technique to visualize the chemical interactions between small animals and their microbes. This allows for a better understanding of how these interactions form and persist in animal tissues. The method, called chemo-histo-tomography, combines chemical imaging with micro-computed X-ray ...
Researchers have developed a new method to control scrambled light in optical fibres, allowing for high-resolution imaging of individual cells. This technology has the potential to guide biopsy needles and identify diseased cells within the body.
The Chan Zuckerberg Initiative (CZI) has awarded nearly $28 million in grants to support the development of next-generation electron microscopy techniques for visualizing proteins in cells. The awards will enable researchers to obtain unprecedented views of protein structure, quantity, distribution, and interactions at near-atomic reso...
Researchers developed AstroPath, a platform combining astronomy and pathology to analyze tumor microenvironments. It predicts response to anti-PD-1 therapy in melanoma patients, providing new insights into cancer treatment options.
Researchers have developed a new fluorescence microscopy technique that allows for high-resolution images of microcirculation in the brain without invasive surgical methods. This breakthrough has the potential to reveal new insights into neurological disorders and facilitate early detection and treatment.
An international team used Raman microspectroscopy and imaging to identify signatures in the elastic and collagen fibers of the aorta that indicate the presence of an aneurysm. The study found biomarkers for thoracic aortic aneurysms, which could enable early detection and potentially save lives.
A new algorithm corrects motion blur in single-photon images, allowing for high-quality pictures even with multiple objects moving independently. The approach accurately estimates individual object motion and groups pixels by similar motion, enabling deblurring of each region independently.
A team of scientists has developed a phonon probe that uses optical fibers to create high-resolution 3D images of biological cells and tissue. The device achieves lateral resolution of 2.5 μm and can measure object height with 45 nm precision, opening up new possibilities for non-destructive diagnostics.
Researchers from Tohoku University developed a novel imaging method to visualize respiratory activity of 3D tissue models. The method uses potential step-based electrochemiluminescence (ECL) imaging to track oxygen consumption and produce luminescent signals.
The American Roentgen Ray Society (ARRS) honors all members with the 2021 ARRS Gold Medal for their selfless service on the frontlines of the COVID-19 pandemic. The award recognizes their distinguished contributions to radiology and its impact on patient care.
Achuta Kadambi's article in Science explores how medical device physics can perpetuate bias across racial and gender lines. He suggests quantifying sample fairness and recalibrating performance metrics to address these issues.
Researchers investigated how observers perform in 2D and 3D image localization tasks, finding that they often treat volumetric images as stacks of independent 2D images. This leads to inefficiencies in target localization, especially for smaller targets in 3D images.
Researchers developed a multiwavelength OR-PAM system based on a single laser source, enabling simultaneous multicontrast imaging of hemoglobin concentration, blood flow speed, blood oxygen saturation, and lymphatic concentration. This innovation shortens imaging time and improves accuracy for functional imaging in biological tissues.
A Kanazawa University researcher has developed a method to speed up non-rigid point set registration, a fundamental problem in computing with extensive applications in autonomous driving, medical imaging, and robotic manipulation. The proposed technique reduces computing time for large point sets, outperforming state-of-the-art approac...
Scientists have developed a high-tech fluorescence microscopy technique allowing them to film cells inside the breast for the first time. This new protocol provides detailed instructions on how to capture hi-res movies of cell movement, division and cooperation in hard-to-reach regions of breast tissue.
Researchers have developed a novel method for producing highly efficient X-ray detectors using 3D aerosol jet-printing, enabling improved performance of medical imaging devices. The new detectors utilize perovskites and graphene, resulting in record sensitivity and a four-fold improvement over existing technology.
Researchers at UMass Lowell have developed a new 3D imaging technique that uses specialized dye to better visualize human tissue inside the body. The technology, funded by the Massachusetts Life Sciences Center, has the potential to revolutionize medical imaging and improve diagnosis accuracy for breast cancer and other diseases.
A new Position Statement from UK stakeholders highlights the limited evidence supporting routine follow-up brain tumor imaging. Researchers propose future studies to assess cost effectiveness, quality of life, and treatment response to determine the value of interval imaging.
Scientists at Martin-Luther-University Halle-Wittenberg have fully determined the internal structure of single-chain nanoparticles (SCNPs) for the first time. The study reveals a 'nano-pocket' that protects dye or other molecules, enabling new imaging techniques and biomedical applications.
A hybrid approach combining hardware- and computer vision-based tracking improves the accuracy of laparoscopic ultrasound imaging. By using a custom tracking mount with EM sensors and CV markers, the system can track the transducer's pose with high accuracy.
Researchers at Nagoya University have developed a new imaging technique that can assess the quality of high-energy muon beams. This innovation allows for better understanding and control of these beams in various applications such as non-destructive X-ray fluorescence spectroscopy and cancer radiotherapy.
Scientists have developed a new method for analyzing the structure of skin using T-rays, which can help diagnose and treat conditions like eczema and psoriasis. The technique measures the refractive index of skin to determine hydration levels, providing valuable information on skin thickness and properties.
Researchers at EMBL Heidelberg used 3D imaging techniques to visualize the replication cycle of SARS-CoV-2 in infected cells. The study reveals massive changes in cellular architecture, including the creation of mini replication compartments where viral genomes are amplified.
A new optical imaging technology called PANORAMA has been developed to detect and study nanoscale objects as small as 25 nanometers in diameter. This technology uses unscattered light to monitor changes in transmission and determine the target's characteristics, making it possible to view nanoparticles directly without labeling.
Scientists have developed a platform using DNA self-assembly to create 3D nanoscale architectures that can conduct electricity without resistance. These structures can be used in signal amplifiers, ultrasensitive magnetic field sensors, and other quantum devices.
Research by Matthew Staymates found N95 masks with exhalation valves ineffective at filtering respiratory droplets. Masks without valves block most droplets, making them a more effective choice for disease prevention.
Linked color imaging (LCI) is more effective than white light imaging (WLI) in detecting tumors in the upper gastrointestinal tract. Researchers found that LCI detected 1.67 more neoplastic lesions during the first examination, and reduced overlooked neoplasms compared to WLI.
Researchers developed a compact, low-cost system that enables fast 3D hyperspectral imaging. The system uses a monochrome camera to capture both depth information and color information, allowing for improved analysis of real-world scenes and objects.
Patients with COVID-19 show a higher prevalence of thromboembolism and solid-organ infarction compared to those without the disease. Hypercoagulability is suggested by increased findings in abdominal and extremity macrothrombi, necessitating radiologists to consider COVID-19 diagnosis.
Researchers at Penn State develop a new type of imaging that uses reconfigurable particle-based masks to take multiple shots of an object, improving disease diagnosis and microscopy. The technology may also lead to thinner cellphone cameras by minimizing the space requirement.
Scientists have developed biocompatible TeSex nano-alloys that eliminate toxicity and enhance theranostic performances for precision medicine. The nano-alloys enable high-efficacy photothermal therapy under multimodal imaging guidance.
Researchers at George Mason University are developing a contactless fingertip imaging system to detect COVID-19. The system utilizes sweat metabolite biometrics, which is non-invasive and potentially more accurate than current temperature checks.
Advanced X-ray imaging reveals details on ancient cat, bird and snake mummification, including possible causes of death and complex ritualistic behavior. The technique provides insights into conditions in which animals were kept and their relationships with humans.