Researchers at Keck School of Medicine and Caltech demonstrate a new way to produce highly detailed images of the human brain using functional photoacoustic computerized tomography (fPACT). This technology has the potential to be less expensive, more portable, and accessible to patients with implants.
Kakshine is a new DNA fluorescent dye with unprecedented versatility, enabling super-resolution imaging of mitochondrial DNA in living cells and deep tissue imaging. Its applications include electrophoresis, quantitative PCR, and flow cytometry, making it a promising tool for DNA analysis.
Amino acid PET imaging improves diagnosis of recurring brain metastases and assesses patient response to new treatments. This non-invasive technique helps physicians optimize treatment strategies for patients with melanoma and lung cancer.
Researchers developed a miniature light-sheet generator that can be implanted into a living animal's brain, enabling high-speed and high-contrast imaging of brain activity. The technology uses nanophotonic technology to create ultrathin silicon-based photonic neural probes that emit multiple addressable thin sheets of light.
Smartphone-based imaging systems can guide diagnosis and treatment with portable, user-friendly biomedical imaging. Emerging technologies like multispectral and quantitative fluorescence imaging offer promising diagnostic applications.
A new positron emission tomography (PET) tracer targeting inflammation has been shown to be safe and effective in identifying early stages of rheumatoid arthritis. The tracer rapidly clears from blood circulation and has a low radiation dose, making it suitable for patient imaging studies.
The International Conference on Nuclear Cardiology and Cardiac CT (ICNC-CT) showcases cutting-edge research and clinical applications in cardiovascular imaging. The conference highlights advancements in machine learning, imaging techniques, and artificial intelligence to improve patient care.
Researchers developed a new noise-suppression technique that reduces noise photon counts by at least 50 times, enabling accurate 3D imaging up to 201.5 km with single-photon sensitivity. The technique is achieved through optimized transceiver optics and coating the telescope for high transmission.
A new recurrent neural network framework enables fast and efficient 3D imaging of fluorescent samples, reducing scan times by ~30-fold. The approach uses few 2D images to reconstruct 3D images, mitigating photo-bleaching challenges in live sample experiments.
Researchers created a quadruple fusion optical and ultrasound imaging system, integrating four modalities: ultrasound, photoacoustic, optical coherence tomography, and fluorescence imaging. The system uses a transparent ultrasound transducer to produce high-quality images without limitations.
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.
Swollen lymph nodes after COVID-19 vaccination can be managed with proper documentation and follow-up care. Imaging centers should document vaccination information to avoid unnecessary biopsies.
Researchers identified 23 cases of axillary adenopathy after COVID-19 vaccination, with 13% being symptomatic. The study highlights the importance of considering vaccination date and laterality in assessing imaging-detected axillary adenopathy.
Radiological images confirm that COVID-19 can trigger autoimmune reactions leading to rheumatoid arthritis flares and other musculoskeletal disorders. Imaging helps explain prolonged symptoms and directs patients to the right physician for treatment.
Researchers used positron emission tomography (PET) imaging with 18F-fluoroestradiol to predict response to a novel treatment for ER-positive, HER2-negative metastatic breast cancer patients. The study found that higher baseline 18F-fluoroestradiol uptake was associated with longer progression-free survival.
A UK-based study using diffusion weighted imaging and machine learning successfully classified common types of pediatric brain tumors, enabling faster and more accurate diagnosis. This non-invasive method has the potential to treat childhood brain tumors more efficiently with favorable outcomes.
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.
A study found that Black and Hispanic children are less likely to undergo medical imaging tests compared to White children. The disparity is attributed to both unnecessary testing in White children and underuse in minority children, potentially due to implicit bias among providers.
The new journal, Biological Imaging, provides an interdisciplinary forum for quantitative and computational imaging in life sciences, covering topics like microscopy, image acquisition, and machine learning. The journal aims to drive cross-fertilization across research applications and inspire innovative work.
Researchers from King's College London found that whole-body magnetic resonance imaging (WBMRI) detects more myeloma cases than traditional PET/CT tests. The study showed that WBMRI allowed for critical treatment to be initiated earlier in 24% of cases, resulting in improved patient outcomes.
Scientists have developed Repeat DNA-Paint, a new technique that overcomes DNA-PAINT's drawbacks to improve super-resolution imaging. This allows for clearer molecular detail with light microscopy, enabling direct observation of biological functions in health and disease.
A new study expands the 64Cu-DOTATATE PET imaging time window to three hours post-injection, detecting similar numbers of lesions as a one-hour scan. The extended imaging time allows for more flexible routine imaging of patients with neuroendocrine neoplasms.
Artificial neural networks enhance signal-to-background ratio in near-infrared imaging, sharpening blurred images. The technology has potential to improve diagnostics and image-guided surgery in the clinic.
Drs. Kelil and Jaimes will investigate personalized breast cancer risk assessment and fetal diffusion tensor imaging to improve conventional risk prediction models and characterize normal brain development in fetuses with congenital heart disease. Their studies aim to harness cutting-edge MRI processing tools to correct for fetal motion.
A proof-of-concept study found that 68Ga-pentixafor PET imaging effectively diagnoses and manages rare CNS B-cell lymphoma by targeting the CXCR4 biomarker. The imaging modality showed excellent contrast characteristics between lymphoma lesions and surrounding healthy brain tissue.
A new method, nnU-Net, has been developed to configure self-learning algorithms for a large number of different imaging datasets, enabling the interpretation of three-dimensional imaging data and distinguishing between tumor and non-tumor tissue.
Researchers at ESRF and UCL are developing a transformational X-ray tomography technology to scan whole human bodies with unprecedented resolution. They aim to enable cellular-level imaging, which could help understand complex diseases like COVID-19.
The Chan Zuckerberg Initiative (CZI) has awarded nearly $32 million in funding to support biomedical imaging researchers and technology development. The grants will focus on visualizing proteins in cells at near-atomic resolution to better understand health and disease.
The new PSMA PET imaging technique has been shown to detect significantly more prostate lesions than current standard-of-care techniques. This breakthrough could lead to better treatment outcomes and more precise care for men with prostate cancer.
Research finds that women with food and housing insecurity are at risk of undiagnosed breast cancer due to lapses in follow-up appointments. The study, presented at the Radiological Society of North America meeting, found that these unmet social needs lead to longer intervals between diagnostic imaging and biopsy.
The EACVI - Best of Imaging 2020 event showcases cutting-edge research on cardiac imaging, featuring sessions on COVID-19 management and women's heart health. Experts will discuss the use of imaging techniques in patients with COVID-19 and explore fundamental differences between men and women in certain diseases.
Researchers have developed an ultracompact metalens array that enables wide-field microscope imaging with large field of view and high resolution. The metalens-integrated imaging device (MIID) achieves compact architecture and working imaging distance in the hundreds of micrometers, paving the way for real-world applications.
The article reviews AI-assisted chest imaging analysis methods for COVID-19 diagnosis, demonstrating the potential of deep learning-based techniques. Establishing a database for public research and extracting lesions accurately are crucial to improve performance.
The new compact VNIR/SWIR imaging spectrometer offers improved spatial and spectral analysis capabilities, enabling applications in atmospheric science, ecology, geology, agriculture, and forestry. The instrument's small size and modular design make it suitable for airborne vehicles and planetary exploration missions.
A new brain imaging technology, BrainPhys, has been developed to support optimal neuronal function and viability in live imaging experiments. This breakthrough could lead to better personalised medicine for brain disorders such as Parkinson's, brain cancer, and childhood dementia.
A Winship Cancer Institute study shows that advanced molecular imaging with fluciclovine improves disease-free survival rates for patients with recurring prostate cancer after prostatectomy. The trial found a 12% better cancer control rate at three years, persisting at four years.
A new radiolabeled molecule, [18F]3F4AP, shows promising results in detecting and characterizing brain injury. The tracer binds to potassium channels exposed in demyelinated neurons, making it a potential tool for imaging multiple sclerosis and other neurodegenerative conditions.
This article discusses the integration of ultrasound imaging in medicine and biology, enabling advanced techniques such as molecular imaging and therapy. The use of ultrasound contrast agents and microbubble cavitation has opened up new opportunities for intracellular delivery and cancer treatment.
A new intraoperative imaging technique, Cerenkov luminescence imaging (CLI), can accurately assess surgical margins during radical prostatectomy by detecting prostate cancer tissue at the resection margin. CLI has shown high diagnostic accuracy in detecting tumor cells and positive surgical margins.
Scientists have developed a new imaging technology to study the brain's deep structures at high resolution. The technology, called adaptive optics two-photon endomicroscopy, enables in vivo imaging of deep brain structures and sheds light on brain functions.
Researchers at RMIT University developed a hyper-efficient broadband photodetector that can see all shades of light, shrinking it by 1,000 times while maintaining speed and low-light sensitivity. The device has potential applications in biomedical imaging, motion detection, and fibre optic communication.
The SNMMI Wagner-Torizuka Fellowship provides extensive training and experience for Japanese physicians in nuclear medicine and molecular imaging. The program has graduated 30 fellows since its inception and supports the worldwide advancement of nuclear medicine and molecular imaging.
UT Dallas researchers developed a proof-of-concept model that quantifies thermal characteristics of breast cancer, detecting temperature differences and increased blood flow. The study aims to improve digital infrared thermal imaging for monitoring breast cancer and its treatment.
The Journal of Medical Imaging and Radiation Sciences special issue shares stories about interpersonal skills beyond technical aspects to care for patients during medical imaging and radiation therapy procedures. Guest Editor Sue Robins curated this issue as a learning experience for technologists, therapists, and patients alike.
The NIH Medical Imaging and Data Resource Center (MIDRC) is a collaborative effort to develop new AI-powered diagnostic tools for COVID-19. The center aims to accelerate the development of personalized therapies by analyzing medical images and clinical data, leading to improved patient outcomes.
The new method uses a non-traditional imaging approach to achieve fast imaging speeds with high spatial resolution. It demonstrates the technique by creating an x-ray movie of a blade rotating at 100,000 frames per second.
The University of Chicago will host a new COVID-19 medical imaging resource center, creating an open-source database with thousands of medical images to aid in understanding and treating the disease. The center will also provide a framework for researchers to develop machine intelligence tools and systems.
Researchers at Beckman Institute develop label-free imaging to evaluate fertility in sperm samples, enabling faster and more accurate analysis. The technique uses phase imaging with computational specificity to predict parameters critical to fertility.
The new micro-CT imaging technology has the potential to transform the landscape of imaging by lowering radiation doses and improving image resolution. The system detects how X-rays bend and measure absorption and phase changes for high contrast visibility.
A new molecular imaging approach using PET/MRI has been developed to precisely identify the location of pain generators in chronic pain patients. This approach resulted in a significant modification of management plans for nearly half of the patients, with some receiving invasive procedures.
Peter S. Conti, MD, PhD, received the 2020 Benedict Cassen Prize for his pioneering work in radiopharmaceuticals and clinical PET applications for cancer imaging. The award recognizes his contributions to advancing nuclear medicine and molecular imaging.
Carolyn J. Anderson, PhD, has been recognized for her pioneering work in radiometal-based radiopharmaceuticals for diagnostic imaging and targeted radiotherapy of cancer and other diseases. Her research focuses on developing imaging agents for upregulated receptors on immune cells involved in inflammation related to lung diseases.
Researchers developed a novel photoacoustic imaging method using clinically-approved carbon nanoparticles to trace lymph nodes and guide fine needle aspiration biopsies. The technique improved image quality and accuracy for breast cancer staging, offering a promising alternative to existing methods.
The Rochester Institute of Technology is developing a low-cost spectral imaging system to help libraries and museums uncover obscured text on historical documents. The system aims to make imaging capability more accessible to curators, archivists, and librarians, enabling them to get more out of their collections.
A new radiotracer, 68Ga-DOTA-JR11, has shown excellent imaging performance in detecting liver metastases and providing important information to guide treatment. The study found that 68Ga-DOTA-JR11 performed better than 68Ga-DOTATATE PET/CT in detecting liver lesions, with a higher tumor-to-background ratio.
The Ireland-based NPIC will provide enhanced research data for clinical trials aiming to improve patient outcomes in various diseases, including cancer, neurology, and psychiatry. The Centre's imaging infrastructure will be open to all researchers, supporting collaboration between academia, industry, and not-for-profit institutions.
Researchers at Hong Kong University of Science and Technology developed an adaptive optics two-photon excitation fluorescence microscopy system for high-resolution in vivo fluorescence imaging of mouse retina. This breakthrough enables detailed study of retinal structures and dynamics, shedding new light on neurodegenerative diseases.
A retrospective study found bowel abnormalities in 31% of COVID-19 patients, with thickening and ischemic findings more common in ICU patients. The study suggests that SARS-CoV-2 may play a role in causing bowel or vascular injury, and further research is needed to clarify the cause of these findings.
A new molecular imaging technique, PSMA PET/CT, is more accurate than conventional medical imaging in detecting prostate cancer spread. The approach helps doctors tailor treatments by identifying disease extent at diagnosis.
A University of Colorado Cancer Center study found that African American patients were half as likely as non-Hispanic whites to receive PET-CT imaging for non-small cell lung cancer, while Hispanics received it 70% as frequently. This disparity may be due to limited access to specialized imaging equipment and unconscious bias.