Researchers developed a wearable device for non-invasive monitoring of hemodynamic indicators like heart rate, blood pressure, and oxygen saturation. The photoacoustic imaging watch offers valuable insights into disease diagnosis and treatment.
A new method for phase-modulated stimulated Raman scattering tomography enables rapid, label-free 3D chemical imaging of live cells and tissues. This technique improves lateral resolution and imaging depth compared to conventional methods.
Using intravascular imaging to guide stent implantation significantly improves survival and reduces adverse cardiovascular events compared to angiography-guided PCI. The study found a 25% reduction in all-cause death, 45% reduction in cardiac death, and improved outcomes for patients with coronary artery disease.
The European Alliance of Associations for Rheumatology (EULAR) has introduced new guidelines for imaging in the diagnosis and management of crystal-induced arthropathies. The recommendations prioritize patient-centered care, emphasizing the importance of medical history, laboratory results, and physical examination alongside imaging fi...
A team of scientists from the Beckman Institute has received a $3 million grant to develop diagnostic tools and imaging agents for the early detection of Alzheimer's disease. They will use a combination of PET and MRI scans to target smaller beta-amyloid peptides and other signs of neuroinflammation and oxidative stress.
A new technique developed at INRS pushes back some of the limits of infrared imaging for rare-earth doped nanoparticles. The SWIR-PLIMASC system enables high-sensitivity and high-speed imaging, allowing for accurate information to be derived from photoluminescence lifetimes.
A new technology uses meta-optical devices to perform thermal imaging, providing richer information about imaged objects. The approach can be used for various applications such as autonomous navigation, material identification, security, and medical imaging.
Ashok Veeraraghavan, a Rice University professor, has won the Edith and Peter O'Donnell Award in Engineering from the Texas Academy of Medicine, Engineering, Science and Technology. His research focuses on making invisible objects visible through imaging technology that tackles challenges beyond current technologies.
The Society of Nuclear Medicine and Molecular Imaging has published a new procedure standard/practice guideline for estrogen receptor imaging of breast cancer patients using FES PET. The guideline aims to promote the appropriate use of FES PET and enhance research, providing advantages in assessing tumor ER expression and predicting re...
Researchers created a new brain imaging method that allows diagnosis of mild traumatic brain injuries (mTBI) even when existing imaging techniques don't show structural abnormalities. The technique uses immune cells to carry imaging agents into the brain, increasing correctly diagnosed mTBI cases and improving patient care.
A new framework has been established for standardized imaging of diffuse gliomas using amino acid PET, enabling the evaluation of treatment success and improving therapies. The RANO group has developed criteria that enable reliable imaging of tumor activity and extent.
Researchers developed a novel phase imaging technique using intensity correlation measurements that is immune to phase instability. This method can capture high-resolution images of transparent and optically thin samples, such as cell cultures, with improved accuracy.
Researchers developed a method to measure microvascular changes in the skin using AI and optoacoustic imaging technology, enabling non-invasive assessment of diabetes severity. The study identified 32 significant changes in blood vessels, which can be used to monitor disease progression.
A research team developed an efficient method to capture high-resolution images of moving objects using Fourier ptychographic imaging technology. By leveraging image registration techniques and advanced algorithms, they successfully reconstructed high-resolution images equivalent to those obtained with large-aperture detection, overcom...
Researchers developed an X-ray imaging technique that produces detailed images of living organisms at high resolution while minimizing radiation exposure. This advance enables small organisms to be studied over longer periods, revealing new insights into dynamic processes.
The new system enables infrared non-line-of-sight imaging, improving safety and efficiency for unmanned vehicles and robotic vision applications. Spatial resolution of less than 2 cm achieved at both 1560 and 1997 nm wavelengths.
A new machine learning-based adaptive optics method, MLAO, enhances microscopy imaging by requiring fewer sample exposures and coping with high noise levels, random sample motions, and blinking events. The approach provides physical insights into the imaging process, enabling better understanding of aberrations and internal workings.
The Marine Biological Laboratory (MBL) has been awarded $4.3 million by the Massachusetts Life Sciences Center to expand its imaging capabilities. The grant will support the procurement of two state-of-the-art microscopes that can perform advanced imaging techniques, including 2D and 3D reconstruction from electron and light microscopy.
Researchers at Johns Hopkins University have developed a new algorithm to filter out unwanted signals in medical images of darker skin tones, producing significantly sharper images. This breakthrough aims to mitigate bias in imaging technologies and improve surgical navigation and medical diagnostics for patients with diverse skin tones.
High-throughput terahertz imaging has made significant progress, enabling real-time imaging applications. Computational methods such as digital holography, spatial encoding, and diffractive processing have improved image resolution and capabilities.
A new AI model integrates imaging and non-imaging patient data for improved diagnostic performance on chest X-rays. The multimodal model outperformed other models for diagnosing up to 25 conditions, showing potential as an aid to clinicians in high-pressure diagnoses.
Researchers have developed DeepMB, a neural network that reconstructs high-quality optoacoustic images about 1,000 times faster than state-of-the-art algorithms. This enables clinicians to access optimal MSOT image quality in real-time, positively impacting clinical studies and patient care.
Dr. Wang's research aims to extract effective disease biomarkers from large-scale brain imaging studies using advanced statistical learning approaches and scalable computing tools. The goal is to improve diagnosis, prognosis, and treatment accuracy for Alzheimer's Disease and related dementias.
A team of scientists has developed a chip-integrated metasurface-based Full-Stokes polarimetric imaging sensor inspired by the mantis shrimp eye, achieving high accuracy and large field of view. The sensor operates at visible wavelengths with ultra-compact footprint and CMOS compatibility.
A new imaging technique called quantitative photoacoustic tomography (QPAT) has the potential to provide high-quality images of cancerous tissues. By combining ultrasound and optical tomography, QPAT can help doctors make more accurate diagnoses in shorter time frames.
The European Society of Cardiology calls for competency-based cardiac imaging delivery to enhance effective and efficient patient care. This approach enables cardiologists to deliver high-quality imaging services, select the most appropriate modality for each clinical scenario, and provide informed decision-making.
A research team at USTC realized single-pixel imaging of single living cells using 3D light-field illumination, achieving a resolution of up to 2.7 μm laterally and 37 μm axially. This breakthrough enables volumetric imaging of microscopic objects with high-performance 3D SPI.
A study found that PSMA PET/CT can accurately diagnose advanced prostate cancer in elderly patients without the need for a biopsy. The procedure reduced the number of biopsies and associated complications, while providing clinical suspicion-based staging data.
Researchers at UBC Okanagan's Integrated Optics Laboratory develop imaging systems that apply terahertz radiation, enabling fast and accurate characterization of biological specimens. This technology holds promise for improving diagnostic imaging and detecting carcinogenesis.
Quantum ghost imaging allows 3D imaging on a single photon level, enabling the lowest photon dose possible. The technique can be applied to image materials and tissues sensitive to light or drugs without risk of damage.
A new complex-domain neural network enhances large-scale coherent imaging by exploiting latent coupling information between amplitude and phase components. The technique reduces exposure time and data volume significantly while maintaining high-quality reconstructions.
PSMA PET imaging provides prognostic information on cancer recurrence risk before treatment, improving personalized treatments and guiding surgical plans. The tool outperforms current standard tests in predicting biochemical recurrence, a critical factor in determining cancer-specific mortality.
A newly developed P-VAE framework could speed up computational imaging by reducing the number of measurements required, making it suitable for applications such as scientific discovery and medical imaging. Researchers applied P-VAE to LED microscopy and computed tomography, achieving improved reconstruction with sparse measurements.
A novel, easy-to-synthesize contrast agent platform has been developed for photoacoustic imaging, significantly increasing the depth and precision of imaging. This technology also limits safety risks and enhances image quality, targeting specific tissues and organs with higher accuracy.
Umar Mahmood, a prominent researcher and leader in the field of nuclear medicine and molecular imaging, has been awarded the first annual SNMMI Minoshima-Pappas Transformational Leadership Award. His work focuses on developing new imaging methods for disease process examination and early therapeutic response assessment.
Researchers developed a computational technique combining genomic and tau PET imaging data to identify four subtypes of Alzheimer's disease. The integrated approach also revealed top genes associated with each subtype. This personalized diagnostic technique has potential for broad utility across various diseases.
Henry VanBrocklin, a professor at the University of California, San Francisco, has been recognized for his decades-long research on novel radiopharmaceuticals and their applications in medical imaging. He is being honored with the prestigious Paul C. Aebersold Award for his contributions to nuclear medicine.
Researchers found that ChatGPT 4 can accurately identify appropriate imaging services for breast cancer screening and breast pain. The AI model outperformed its predecessor, ChatGPT 3.5, in providing evidence-backed guidelines for radiologists.
A novel imaging agent has been developed to non-invasively detect pulmonary fibrosis in its early stages. The agent targets extracellular matrix fibers and has shown significant uptake in lungs with pulmonary fibrosis, matching histological results. This breakthrough could lead to earlier detection and better monitoring of the disease.
Researchers created a new method, RESORT, to image and analyze living systems in unprecedented detail. The technique combines benefits of super-resolution fluorescence and vibrational imaging, allowing for high spatial resolution and analysis of complex interactions.
A study found that patients with transient ischemic attack (TIA) who received incomplete neurovascular imaging were at higher odds of experiencing a stroke within 90 days. The research, published in the American Journal of Roentgenology, used Medicare claims data to analyze TIA emergency department encounters.
Researchers have developed an unsupervised learning-based optical fiber imaging system that can recover high-fidelity images from degraded or scrambled speckle patterns without paired labeling. The system, named Restore-CycleGAN-GALOF, achieves nearly artifact-free and robust full-color image transport through a meter-long optical fibe...
The new spectrometer designs provide high spectral resolution and low spatial resolution, enabling the study of the Earth's atmosphere or other planets' atmospheres. The designs combine desirable features from several existing designs, reducing size and cost.
A new technique called speckle structured illumination endoscopy (SSIE) achieves super resolution in images acquired during endoscopy with a wide field of view and large depth of field. SSIE outperforms existing high-resolution endoscopic systems, which typically have limited field of view and depth of field.
A team of researchers from the University of Oklahoma and Yale University has developed a super-resolution imaging platform technology to visualize nanoparticles within cells. The technique, called expansion microscopy, enables 3-D imaging with resolutions as low as 10 nanometers, allowing for safer and more efficient nanomedicines.
A team of experts identified 29 sources of bias in AI/ML models for medical imaging, including data collection, preparation, and deployment. The study provides a comprehensive roadmap for mitigating these biases and ensuring fairness, equity, and trust in AI/ML models.
A study presented at the ARRS Annual Meeting reveals institutional variability in projection order and image acquisition timing for CEM protocol. Earlier-obtained recombined imaging is significantly preferred for cancer lesion characterization, with a trend towards prioritizing imaging the side of pathology.
Researchers developed a dual-modality imaging technique combining photoacoustic and super-resolution ultrasound imaging to detect physiological and biochemical abnormalities. The new method provides comprehensive diagnostic information at a lower cost than traditional techniques.
EACVI 2023 is a patient-focused, multimodality imaging event that showcases the latest advancements in echocardiography, CMR, nuclear cardiology, and cardiac CT. The congress highlights novel treatments for long COVID, new technologies such as robotic imaging, fusion imaging, and AI.
Researchers developed a new reconstruction method for 3D imaging using integrated circuits, enabling non-destructive nanoscale imaging. The approach uses X-ray ptychographic tomography and deep learning to reduce acquisition time and improve fidelity, with potential applications in IC imaging, biology, and material science.
Researchers have developed a multidisciplinary approach using a new microscope, artificial intelligence algorithm, and voltage indicators to better measure brain activity. The technique enables the imaging of up to 100 neurons at a time, far surpassing previous limits.
Researchers developed innovative contrast-enhancing agents to tackle limitations of photoacoustic imaging, including low SNR, image contrast, and targeted delivery. The study suggests promising strategies such as photoswitching agents, near-infrared-II agents, and micromotor agents.
A novel lensless radiomicroscope has been developed for nuclear medicine imaging, offering high-resolution images of cells with a field of view over 500 times larger than current technology. The instrument is made from off-the-shelf parts and costs less than $100, making it accessible to more labs.
Researchers develop photo-acoustic chemical imaging to map tumor chemical makeup, predicting radiation therapy efficacy. The method uses nanoparticles to sense specific chemicals in tumor tissue, providing real-time high-resolution chemical maps.
A POSTECH research team has developed a deep-learning approach to enhance resolution and speed in photoacoustic computed tomography (PACT) imaging. The technique enables high-resolution, real-time whole-body imaging of animals and monitors tissue movement in the heart, kidney, and brain.
The Society of Nuclear Medicine and Molecular Imaging (SNMMI) and the European Association of Nuclear Medicine (EANM) have published a new procedure standard/practice guideline for somatostatin receptor (SSTR) PET imaging in patients with neuroendocrine tumors. The guideline focuses on improved sensitivity, lower radiation dose, and sh...
A new study reveals that phase-contrast X-ray imaging can visualize smallest airways and their obstructions, potentially detecting early-stage lung disease. This technique could provide better resolution and contrast than conventional radiography, enabling subtle pathological changes to be seen.
Researchers developed high-throughput Raman microscope for rapid large-area imaging hundreds of times faster than traditional approach. The new technique enables label-free molecular analysis and multiplex chemical imaging, holding promise for efficient medical diagnoses and drug development.
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.
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.