Articles tagged with Medical Imaging
Researchers apply quantum mechanics to denoise medical images by separating localized signal from diffused noise. The method leverages physics-driven principles to automatically separate components of pixels in an image.
A new AI tool can learn to read medical images with far less data, cutting down the amount of required data by up to 20 times. The tool improves upon medical image segmentation, a labor-intensive task often performed by experts, and boosts model performance in settings with limited annotated data.
Researchers developed a radiotracer targeting CD24 protein on liver tumor cells, accurately detecting tumors in mice. PSMA PET/CT scans also tracked prostate cancer spread in patients, predicting shorter survival for those with interlesional progression.
Recent AI-based models, such as Asian Prostate Cancer Artificial Intelligence and Galen Prostate, optimize screening and reduce unnecessary biopsies. These models use multimodal clinical parameters and convolutional neural networks to detect prostate cancer and identify aggressiveness of cancer cells.
The 250,000-square-foot facility provides greater availability to high-quality integrated care, addressing the region's increasing demand for innovative diagnostic and treatment services. The pavilion brings together a broad range of nationally ranked clinical programs, including cancer clinics, neurology, and surgery.
Researchers have developed a noninvasive method for visualizing stents through skin using photoacoustic microscopy, potentially reducing the need for surgical access and X-ray exposure. The technique uses sound waves generated by light absorption to create high-resolution images of stents in various conditions.
A first-in-human study found that naloxone reduces opioid receptor availability by 40-50 percent in brain regions, but shows a greater reduction in women compared to men. This suggests sex-based differences in how men and women respond to opioid overdose treatments.
Researchers at the University of Illinois found that benign and cancerous breast calcifications have unique structures and formation processes. The study provides a new classification scheme and opens the possibility of treating benign calcifications using certain drugs.
A new study found that long COVID patients with abnormal cardiopulmonary PET/MR findings are at a higher risk of developing heart and lung diseases. The study included 98 patients with persistent cardiopulmonary symptoms after initial COVID infection and showed significant abnormalities in both PET/MRI and dual-energy CT scans.
The European Research Council has awarded three ERC Proof of Concept grants to Göttingen University professors, enabling the development of initiatives that can benefit Europe's economy and society. The projects focus on harnessing renewable energy, reducing chemical waste, and improving biomedical image analysis.
A new mouse study uses advanced OCT imaging to reveal the fallopian tube's pumping mechanism in transporting preimplantation embryos towards the uterus. The study sheds light on the biological mechanisms underlying reproductive challenges like infertility and ectopic pregnancy.
A new deep learning model enhances handheld 3D medical imaging by automatically tracking transducer motion without external sensors. The model produces more realistic 3D US images and can reconstruct blood vessel structures using ultrasound and photoacoustic data.
Researchers used AI model ChatGPT-4 to extract clinical variables from MRI and CT scans of nearly 1,000 adults with pancreatic cysts. The accuracy rate ranged from 97% for solid components to 99% for calcific lesions, comparable to human performance.
The UK Biobank has completed a groundbreaking imaging project, scanning the brains, hearts, abdomens, blood vessels, bones and joints of 100,000 volunteers to understand how diseases develop. The project is already improving patient care in the NHS and beyond, with over 1,300 peer-reviewed scientific papers published based on the data.
A study published in Radiology found that AI decision support systems improve breast cancer detection accuracy and visual search patterns among radiologists. With AI assistance, radiologists spend more time examining regions with actual lesions, leading to better performance and efficiency.
A new prototype imaging system combines light-emitting diodes (LEDs) with hyperspectral imaging technology to create detailed maps of tissue properties invisible to conventional cameras. The system shows promise for cancer detection during endoscopy, achieving real-time speeds and high-quality data comparable to reference systems.
A new computational method combines 4D flow MRI, CFD, and data assimilation to estimate blood flow in brain aneurysms with greater accuracy and efficiency. The approach focuses on the aneurysm region, reducing computational cost while improving flow estimation.
Rice University professor Lei Li has received a NSF CAREER Award to develop wearable medical imaging technology capable of visualizing deep tissue function in real time. The project aims to miniaturize hospital-grade imaging systems into compact, energy-efficient wearables.
Researchers at the University of Illinois Urbana-Champaign have developed a new non-invasive MRI approach that visualizes brain metabolism and detects metabolic alterations associated with brain diseases. The technique uses magnetic resonance spectroscopic imaging to provide insights into brain function and disease processes.
A new AI-assisted technique called PACT has been developed to help differentiate between suspicious and healthy tissue in breast imaging. The method, which combines light and sound into a single modality, performs as well as or better than conventional techniques like mammography and MRI.
A landmark national study in China identifies the most effective treatment strategies for unruptured brain aneurysms, analyzing over 874,000 clinical entries and 42,000 radiological scans. The trial aims to guide patient-specific treatment strategies and inform healthcare planning in China's aging population.
Researchers developed a classification system to accurately distinguish granulomas from peripheral lung cancers based on thin-section computed tomography (TSCT) features. Satellite lesions, halo sign, and calcification are indicative of granulomas, while well-defined solid nodules with lobulation raise suspicion for PLCs.
The Society of Nuclear Medicine and Molecular Imaging's Annual Meeting featured over 120 continuing education sessions on innovations in oncology, neurology, and cardiology. The meeting also showcased cutting-edge technology, including AI, theranostics, and novel imaging probes.
A cardiac magnetic resonance imaging (MRI) scan usually takes anywhere from 30 to 90 minutes. The AI-assisted model developed by Mizzou researchers can turn low-quality MRI heart scans into high-quality images in less time, while improving patient experience and reducing costs.
A new study involving 121 former elite rowers from Australia found that one in five develops atrial fibrillation, a condition that can lead to stroke and heart failure. The researchers identified genetic and clinical tools that enable early preventive strategies, highlighting the paradox that AFib is more common among fit athletes.
A novel PET imaging approach can accurately detect and monitor Mycobacteroides abscessus lung infections. The technique uses 11C-PABA PET to differentiate between bacterial infection and inflammatory diseases.
A new PET/CT imaging technique visualizes activated fibroblasts in the heart muscle, detecting multiple forms of cardiomyopathy. The method provides valuable insights into disease progression and helps improve risk stratification for patients with non-ischemic cardiomyopathy.
Jean-Luc C. Urbain has been named president of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), aiming to integrate radiopharmaceutical theranostics into clinical practice. As president, he plans to prioritize research, education, and patient safety to benefit patients worldwide.
A study found that modifiable risk factors like education, BMI, and hypertension can slow down the spread of Alzheimer's tau tangles. The research suggests that modifying these risk factors can help delay disease progression.
Heather Jacene, MD, has been elected as the new president-elect of SNMMI, with a focus on strengthening the organization and promoting nuclear medicine. She aims to create opportunities for member participation and multidisciplinary collaborations, while raising awareness of nuclear medicine's value to clinical colleagues and patients.
Dr. Gary Ulaner has been elected vice president-elect of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), committed to advancing nuclear medicine research and expanding educational activities for professionals. As part of his role, he aims to drive growth and funding for training new radiochemistry and physics professionals.
A novel molecular imaging agent targeting glypican-3 has demonstrated high sensitivity and specificity in detecting hepatocellular carcinoma (HCC), including tumors smaller than one centimeter. The agent provides high-contrast images of GPC3-positive liver tumors, offering a promising new tool for early diagnosis and staging of HCC.
Researchers used PET imaging to map brain inflammation in PAOS patients, finding distinct patterns that correlate with tau pathology and Parkinson-plus syndrome. The study provides new insights into neuroinflammation's role in disease progression and may lead to earlier diagnosis and targeted treatments.
A new PET radiotracer can detect a wide range of mold species linked to life-threatening infections in cancer and transplant patients. The imaging agent, 18F-FDS, has the potential to dramatically enhance diagnosis and monitoring of invasive mold infections.
A new peptide-based PET tracer outperforms FDG PET in measuring PD-L1 expression in head and neck cancers. The tracer's uptake strongly correlates with PD-L1 levels, suggesting its potential for personalized treatment strategies.
Researchers at the University of Missouri have developed a new imaging probe that can help surgeons accurately identify and remove aggressive brain tumors during operations. The tool, known as FA-ICG, uses near-infrared light to highlight tumor cells from within.
Researchers developed a novel PET tracer targeting phosphodiesterase 4B to visualize real-time brain inflammation. The tracer showed superior image quality and greater brain distribution compared to existing tracers, highlighting its potential for early diagnosis and personalized therapy in neurodegenerative diseases.
The Society of Nuclear Medicine and Molecular Imaging (SNMMI) has selected 7 new Fellows for their exceptional achievements in the field. The SNMMI Fellowship is a prestigious recognition of outstanding service to the society and excellence in scientific discovery, educational efforts, or clinical practice.
A newly developed cardiac PET imaging technique offers a simpler way to detect significant coronary artery disease by eliminating the need for complex scanning protocols. The technique has been shown to accurately estimate myocardial flow reserve during both exercise and pharmacologic stress, making advanced heart imaging more accessible.
Shannon Youngblood, a seasoned nuclear medicine professional, has been elected as President-Elect of the SNMMI Technologist Section. She aims to elevate visibility and recognition for nuclear medicine professionals through advocacy, promote diversity and inclusion in the workforce, and advance education and professional development. Wi...
Julie C. Price has been recognized for her groundbreaking work on PET imaging techniques and multimodal imaging for translational neuroscience. She aims to advance early detection of Alzheimer's disease-related tau protein deposition.
A novel integrated molecular imaging approach using dual PET/MR and PET/CMR techniques enables precise localization of heart damage and accurate identification of disease subtypes. This method also provides direct evidence supporting surgery as a cardio-protective intervention in patients with primary aldosteronism.
Cybil Nielsen has been elected as the new president of the SNMMI Technologist Section, with a focus on expanding educational programs, mentorship opportunities, and networking events. She aims to promote the recognition and advancement of nuclear medicine technologists within the healthcare landscape.
Wynn Volkert, a renowned expert in nuclear medicine, has been awarded the 2025 SNMMI Georg Charles de Hevesy Nuclear Pioneer Award. He made significant contributions to radiopharmaceutical development, including FDA-approved agents for brain and bone imaging.
Two new PET imaging agents have been developed to identify the histamine H3 receptor, which regulates learning, memory, and sleep. These novel tracers show high brain uptake, excellent specificity, and improved in vivo stability.
A new PET imaging technique has successfully visualized three radiotracers in a single scan, enabling a more comprehensive molecular profile of disease. This innovation offers the potential to deliver greater precision in both diagnosis and therapeutic assessment, particularly for complex diseases like cancer.
A new brain imaging platform combining upright PET scanning, AR eye tracking, and motion tracking enables researchers to study brain function in a more natural and dynamic way. This approach offers a more realistic view of brain activity, holding promise for earlier detection of cognitive disorders.
Advanced software is used to measure radiation dose distribution throughout the body, ensuring patient safety and tailoring treatments. Post-therapy imaging helps identify complications and guide clinical decisions, ultimately optimizing treatment outcomes and protecting patients.
Researchers found that low blood flow at rest may predict heart failure or death, while low stress flow may indicate heart attack risk. A new PET scan method also showed promise for Alzheimer's detection with high accuracy and minimal discomfort.
Researchers at ETH Zurich have developed a novel solution for image sensors, utilizing lead halide perovskite to capture every photon of light. This allows for improved color recognition and higher resolution, as well as advantages in hyperspectral imaging.
A team of scientists from Colorado State University and the University of São Paulo have developed a seismological solution to improve the resolution of ultrasound images for lung monitoring. This breakthrough could lead to improved critical care for patients, including continuous lung monitoring at the bedside. The technique uses seis...
Researchers at Colorado State University have demonstrated the reversal of embolism in a type of wild grass, which can recover from extended drought within 24 hours. This finding has significant implications for improving agricultural productivity and food security, as it could potentially be bred into crops to make them more resilient...
A collaborative research team led by KAIST has developed a groundbreaking technology that uses advanced optical techniques combined with an AI-based deep learning algorithm to create realistic 3D images of cancer tissue. This breakthrough paves the way for next-generation non-invasive pathological diagnosis.
A new study published in Radiology: Cardiothoracic Imaging has established the normal range of measurements that indicate a healthy heart's response to exercise. The research found that men's hearts are more responsive to exercise than women's, which can help diagnose heart conditions earlier and more accurately.
A novel screening approach called VEST uses virtual echocardiography to identify patients at high risk of pulmonary arterial hypertension, a life-threatening form of heart failure. The tool has been shown to generate accurate PAH risk scores without manual calculations and can guide timely referrals for expert care.
The American Association for Anatomy has awarded over $238,000 to nearly 200 individuals through various awards and scholarship programs. The organization recognizes outstanding achievements in research, education, and professional development, supporting career advancement and further education opportunities.
Researchers studied obesity's impact on breast cancer, linked imaging patterns to lung disease survival, and tracked hidden inflammation in COVID-19 patients using advanced PET imaging techniques.
New studies explore peptide receptor radionuclide therapy, targeted radiation for prostate cancer, and neuroendocrine tumor treatment. Targeted radiation boosts survival in colorectal liver cancer and bone metastases, while a new PET imaging tracer shows promise for detection.
A new study published in Radiology found that abbreviated breast MRI is an effective screening method for women with extremely dense breasts, detecting cancer while reducing scan times by up to 80%. The abbreviated protocol retains a high level of diagnostic accuracy comparable to the full protocol MRI.
A new study reveals that fine-tuned large language models (LLMs) greatly improve error detection in radiology reports, outperforming other NLP tools. The LLMs successfully identify various types of errors, including transcription and directional mistakes, providing a promising solution for medical proofreading.