A new study found that patient factors, including distance from hospital, age, and health insurance status, significantly impact follow-up imaging rates. The study also showed disparities in follow-up rates among different age groups, with younger and older patients having lower completion rates.
The Ryerson-led research team developed a technique called F-Mode, which enables selective enhancement of features in biological structures based on size. This breakthrough has significant potential in ophthalmology, neurosurgery, and disease detection.
Researchers developed a new 'multi-z' confocal microscopy system for imaging large groups of cells, enabling fast and detailed imaging across a wide field of view. The instrument captured cellular details at high speeds over a large 3D volume, providing unprecedented insights into how neurons interact during various behaviors.
The Marine Biological Laboratory (MBL) has received a $17 million award from the Chan Zuckerberg Initiative to fund a new imaging scientist. This funding will support the development of new imaging technologies and drive biological discoveries.
Diattenuation Imaging enables precise investigation of brain tissue by measuring polarization-dependent attenuation of light. The method distinguishes between regions with thin and thick nerve fibers, aiding in the study of neurodegenerative diseases like multiple sclerosis.
Researchers repurposed an algorithm from Netflix's movie preference prediction competition to create a method for acquiring classical Raman spectroscopy images of biological tissues at unprecedented speeds. This advance could make the simple, label-free imaging method practical for tumor detection or tissue analysis.
Researchers developed a new imaging method, called compressed optical-streaking ultra-high-speed photography (COSUP), that can capture images at speeds of up to 1.5 million frames per second using standard sensors. COSUP has potential applications in biomedical research, movie production, and scientific research.
MIT researchers have developed a new optical imaging system called DOLPHIN that can detect tiny tumors deep within living tissue. The system uses near-infrared light and hyperspectral imaging to pinpoint fluorescent probes, allowing for earlier cancer diagnosis and potentially more effective treatment.
Researchers developed Bright-field Holography to overcome limitations of holographic 3D imaging. The method combines the image contrast advantage of bright-field microscopy with the snapshot volumetric imaging capability of holography, allowing for rapid creation of images equivalent to those from a bright-field microscope.
Researchers have developed a novel PET/CT tracer that detects and characterizes blood clots in the legs, where conventional imaging has limitations. The new imaging agent may provide more accurate diagnoses and information on clot growth or embolization, leading to changes in clinical intervention.
A new, low-cost chip-based light-illuminating device enables fast and practical ghost imaging for applications like biomedical imaging and LIDAR. The device uses a compact optical phased array to generate random speckle patterns, allowing for higher sensitivity and faster imaging than traditional methods.
Researchers found that combining iodine-123 metaiodobenzylguanidine (123I-MIBG) SPECT imaging with cardiac magnetic resonance imaging (MRI) helps identify specific subsets of heart tissue more prone to arrhythmias. This approach enables physicians to achieve improved VT suppression and shorter procedure times.
Recent advancements in prostate imaging modalities have significantly enhanced the diagnosis of prostate cancer. Androgen receptor-based imaging is emerging as a promising approach for non-invasive detection using non-steroidal antiandrogen agents.
The Chan Zuckerberg Initiative is funding open-source software projects to improve image analysis and visualization in biomedicine. The projects will focus on developing and maintaining tools such as scikit-image, ImageJ, and CellProfiler to accelerate basic research and benefit the entire field.
A new study has discovered a promising approach to significantly lower doses of X-rays in 3D medical imaging, making it cheaper and safer. The technique, known as ghost imaging, uses a sensor instead of an X-ray camera to create 3D images.
Researchers have developed two new approaches to 3D imaging with X-rays, enabling unprecedented detail in disease-screening, materials development, and structural information of opaque objects. The methods, including ghost imaging and single-shot techniques, reduce X-ray doses and destroy samples, paving the way for cheaper, more readi...
Researchers used PSMA PET/CT to detect prostate cancer outside the prostate gland with higher sensitivity and specificity than standard imaging techniques. This improved accuracy enables more precisely targeted treatment, potentially increasing the chances of successful outcomes.
Researchers from NUS developed novel lead halide perovskite nanocrystals for high-sensitivity X-ray detection, reducing diagnostic radiation dose by 400 times. These nanocrystals also enable lower-cost and faster imaging technology with improved resolution.
The Society of Breast Imaging has partnered with Oxford University Press to launch the Journal of Breast Imaging, providing a platform for high-quality, evidence-based content on breast imaging. The journal aims to advance the field of breast imaging, improving patient care and outcomes.
A new study finds that mastectomies do not completely eliminate the need for postoperative imaging and biopsy. For 10% to 15.5% of patients, subsequent imaging is required, and 6-8% undergo biopsy, with low malignancy rates.
Researchers developed a hybrid nanoplatform that locates tumors using three different types of contrast simultaneously, facilitating multimodal molecular medical imaging. The platform overcomes the limitations of single image modality while maximizing their advantages.
A new preclinical study shows that PET imaging with the 18F-FAC radiotracer can image T cells in the liver, potentially reducing biopsies and improving treatment. The approach could lead to personalized treatment of patients with immune-related liver disease.
Dr. Robert Gillies, chair of Cancer Physiology and Radiology Research at Moffitt Cancer Center, receives the World Molecular Imaging Society's Gold Medal Award for his lifetime research in molecular imaging. His work focuses on understanding cancers as complex systems, leading to new cancer treatment options.
A Swedish study has successfully imaged the soft tissue of an ancient Egyptian mummy's hand using a novel CT technique called phase-contrast imaging. This technique enhances contrast and allows for detailed analysis of soft tissues, opening up new opportunities for paleopathology research.
PySight improves rapid 2D and 3D imaging of the brain with high spatiotemporal resolution, enabling scientists to better understand brain dynamics and discover new treatments. The open-source software integrates with state-of-the-art hardware, overcoming technical barriers to continuous 3D imaging.
A new imaging method targets cancer-associated fibroblasts to diagnose widespread tumors like breast, colon, and pancreas cancer with better accuracy and less inconvenience. The tracer shows high tumor uptake and image contrast, making it a promising strategy for detection and treatment of malignant tumors.
Researchers have developed nanoparticles that can be excited with ultralow-power laser light, emitting visible light for deep-tissue imaging. The findings hold promise for advanced imaging systems to pinpoint single cancer cells, guiding high-precision surgeries and radiation treatments.
A team of researchers has developed a photostable fluorescent labeling agent for single molecule, multicolor, and 3D deep imaging in the near infrared region. The new dye, PREX 710, allows for long-term bioimaging of blood vessels in mice brains.
The National Institute of Biomedical Imaging and Bioengineering (NIBIB) at NIH will convene experts in academia, industry, and government to discuss the state-of-the-art of AI applications for medical imaging. The workshop aims to improve quality, reproducibility, and reliability of AI in medical imaging.
Researchers have developed a new class of endoscopic imaging catheters that overcome the limitations of current systems, achieving higher resolution and functionality. The nano-optic endoscope incorporates metalenses into its design, enabling high-resolution imaging at extended depth of focus without complex optical components.
A new study finds that advanced imaging software can diagnose large vessel occlusion in stroke patients more accurately, reducing transfer delays and improving outcomes. By streamlining care, hospitals can provide EVT treatment sooner, leading to better patient recovery.
The Journal of Nuclear Medicine's impact factor increased by 12% in 2017, ranking fifth among medical imaging journals. Citations to the journal rose from 24,977 to 27,101.
The Pediatric NEXUS Head Computed Tomography Decision Instrument (DI) reliably guides blunt trauma imaging decisions and may decrease head CT imaging in low-risk pediatric populations. The study found that the decision instrument could significantly reduce head CT utilization by up to 34%.
A new PET imaging method evaluates the extent of rheumatoid arthritis inflammation by targeting translocator protein (TSPO) expression in joint lining tissue. The study demonstrates that TSPO PET can image not only synovial macrophages but also activated synovial fibroblasts, a critical process in RA pathogenesis.
A study published in Radiology found that cardiac hybrid imaging, combining CT and nuclear stress testing, is an excellent long-term predictor of adverse cardiac events. The imaging approach helps identify stenosis and perfusion, providing critical information for treatment decisions.
A new all-optical ultrasound imager has been demonstrated for video-rate, real-time 2D imaging of biological tissue. The system offers significant flexibility in switching between different imaging modes, such as 2D and 3D imaging, without the need to swap probes.
The Society of Nuclear Medicine and Molecular Imaging's 65th Annual Meeting showcased advancements in theranostics, quantitative nuclear imaging, and multimodality molecular imaging. Key findings include improved diagnostic accuracy and treatment options for various diseases, highlighting the potential for precision health.
Gambhir's work on multimodality molecular imaging has advanced nuclear medicine and healthcare. He has developed strategies to study gene and cell therapies, and his lab has more than 625 publications and over 40 patents pending.
A novel intelligent theranostic agent was designed to target tumors, with the ability to self-assemble in the tumor microenvironment and activate for therapy guided by photoacoustic imaging. The clusters showed high selectivity to the tumor microenvironment and eliminated tumor growth without subsequent recurrence.
Researchers have developed a novel nuclear medicine probe that can detect synaptic density loss in the brain, a key biomarker for neurodegenerative diseases like Alzheimer's. The probe, using positron emission tomography (PET) imaging, has high imaging characteristics and is suitable for clinical trials and commercialization.
Simon Cherry has made significant contributions to biomedical imaging instrumentation and technology development, including microPET and hybrid PET/MRI systems. He is widely recognized for his work on molecular imaging and has received numerous awards for his achievements.
Researchers developed a new NIR-II fluorescent molecule for dual fluorescence and photoacoustic imaging, offering high resolution and penetration depth for precise noninvasive brain-tumor diagnosis. The method demonstrated high sensitivity and specificity, accurately assessing tumor location and depth in brain tissue.
A novel PET imaging method uses antibody fragment probes to target immune cells, detecting inflammation in the bowel and potentially guiding biopsies. The technique has wide applications in various diseases and could unlock assessment of inflammation.
A study by UTHealth found that simple imaging on a non-contrast CT scan can be sufficient to determine thrombectomy treatment in stroke patients, achieving identical clinical outcomes as advanced imaging. This basic technique may broaden access to life-saving surgery for more patients, especially in remote areas.
Acute aortic syndrome is a group of conditions that can be challenging to diagnose due to similar clinical manifestations. Intravascular ultrasound imaging has been found to be useful in discerning the different forms of acute aortic syndrome, including aortic intramural hematoma.
A team of researchers at MIT has shown that an FDA-approved dye can be used for short-wave infrared imaging, producing clearer images of blood vessels and other body tissues. This breakthrough could enable doctors to visualize these structures with greater accuracy, leading to improved diagnosis and research.
Researchers created an integrated imaging approach that uses multiple techniques to study Staphylococcus aureus infections. This method revealed new insights into abscesses and the bacteria's response to their environment. The findings have implications for vaccine and therapeutic development, as well as culture-free diagnosis.
Using near infrared chemical imaging can help maintain the safety of pharmaceutical tablets by monitoring active ingredient concentrations in real time. This technique provides a larger sample area compared to spectroscopy, reducing the risk of missed segregation areas.
A novel nuclear medicine imaging agent targeting copper accumulation in tumors detects prostate cancer recurrence early in patients with biochemical relapse. The new imaging agent, copper-64 chloride (64CuCl2), has a higher detection rate than fluorine-18-choline-PET/CT in patients with low levels of PSA (<1 ng/ml).
A new study published in Radiology found that imaging services played a crucial role in managing Olympic athletes with sports-related injuries and disorders. The study showed that MRI was used for nearly 60% of all imaging performed for diagnosis, highlighting its importance in fast and relevant diagnoses.
Researchers developed an MRI technique that eliminates contrast agents, reducing unnecessary biopsies and detecting 98% of malignant lesions. The diffusion kurtosis imaging method provides a microscopic level picture of breast tissue, helping to clarify suspicious findings.
A new optical imaging system uses red and near-infrared light to identify breast cancer patients who are likely to respond to chemotherapy. The system analyzes blood flow dynamics in response to a single breath hold and has been shown to correctly identify responders in 92.3% of patients.
A new radiotracer, 18F-FDS, has been developed to identify and track bacterial infections in the lungs. The tracer was tested on mice with live bacteria or dead bacteria to induce inflammation, and it successfully differentiated between lung infection and inflammation.
The Society of Nuclear Medicine and Molecular Imaging has published appropriate use criteria (AUC) for somatostatin receptor PET imaging in neuroendocrine tumors. This AUC addresses several clinical scenarios for diagnosing neuroendocrine tumors (NETs).
The new total-body PET/CT scanner will advance clinical research and patient care by providing better imaging data from the whole body, reducing radiation exposure and increasing sensitivity. This technology has the potential to change cancer detection and staging methods, as well as improve diagnosis for other systemic conditions.
A new imaging technique allows for true 3D imaging at the nanoscale with a resolution of 30nm. This breakthrough has potential applications in fields like materials science, physics, and medicine.
A CCNY-led team has developed a novel molecular gel that enhances optical photon output for cancer imaging, improving detection sensitivity. The esculin-derived gel addresses current challenges in Cerenkov light imaging and offers potential as a topical application.
A team of computer scientists has developed a novel, compact single-shot hyperspectral imaging method that captures images using a conventional DSLR camera equipped with an ordinary refractive prism. The new method achieves quality images without compromising accuracy, making hyperspectral imaging practical for ordinary users.
INRS professor Jinyang Liang has designed an ultrafast, highly sensitive imaging microscope to study living animals. The new technology bridges the gap between biomedical, physics, and engineering fields.
Researchers develop an approach to super-resolution photoacoustic imaging using advanced statistical analysis, breaking the barriers of conventional imaging hardware. This technique offers a practical and low-cost option for improving biomedical imaging for research and diagnostics.