The SNMMI Mars Shot Research Fund has awarded a $100,000 fellowship to Dr. Randy Ye for his research on FAPI PET imaging for detecting invasive lobular carcinoma. The study aims to assess the ability of FAPI PET and FDG PET to detect tumors and evaluate its impact on patient care.
Two new studies published in The Journal of Nuclear Medicine explore innovative approaches to treating melanoma with radiation therapy and enhancing brain PET imaging. A third study validates an AI network for brain tumor imaging, demonstrating promising results.
The new Keck Medicine of USC – Newport Beach Radiation Oncology and Imaging Center offers biology-guided radiation therapy, using up-to-the-minute signals to track and treat cancer cells in real time. The center is equipped with state-of-the-art technology and will be the first in Orange County to provide this treatment option.
Researchers at Waseda University developed a new technique using terahertz imaging to visualize the internal structure of the mouse cochlea with high resolution. The study successfully demonstrated the potential of THz imaging as a non-invasive diagnostic tool for auditory disorders and other medical applications.
The Chan Zuckerberg Initiative's CZ Biohub San Francisco and CZ Imaging Institute will join forces to develop novel imaging technologies that provide entirely new insights into human biology. This new Biohub aims to illuminate the dynamic architecture of living systems, making what was invisible visible, measurable and understandable.
Researchers explore new techniques to improve prostate cancer diagnosis and treatment, including dual-target PET/CT for enhanced lymph node staging and novel PSMA-targeted radioligands for more precise tumor targeting.
Researchers have developed a powerful imaging technology to study cellular metabolism, enabling the visualization of biomolecules' synthesis and turnover in live cells and organisms. Heavy-water probing allows for the tracking of metabolic dynamics, providing insights into aging and age-related diseases.
Researchers developed single-shot super-resolved fringe projection profilometry (SSSR-FPP) using deep learning to achieve 100,000 frames-per-second 3D imaging. This breakthrough offers new insights into ultra-fast dynamic processes and could revolutionize fields like mechanics and biology.
A nonlocal Huygens' meta-lens achieves high-quality-factor spin-multiplexing imaging with a high Q factor of 90. The proposed design enables simultaneous bright-field imaging and edge detection in the near-infrared region, improving imaging quality and accuracy.
PRISm is a form of Pre-Chronic Obstructive Pulmonary Disease (Pre-COPD) characterized by respiratory symptoms and reduced lung function. Imaging assessments, such as computed tomography scans and magnetic resonance imaging, play a crucial role in diagnosing and predicting the prognosis of PRISm.
Researchers at Tampere University and Kastler-Brossel Laboratory have demonstrated self-imaging of light in cylindrical systems, facilitating unprecedented control of light's structure. They also explore a new type of space-time duality, bridging different fields of optics.
Scientists achieved a quantum imaging breakthrough with an ultra-thin nonlinear metasurface, combining ghost imaging and all-optical scanning methods to reconstruct images with exceptional resolution. This approach eliminates the need for bulky nonlinear crystals and enables compact, highly tunable platforms for quantum imaging.
The project leverages super-radiance to enhance the brightness and emission rate of fluorophores, enabling high-throughput imaging and tracking of molecular processes. This could lead to breakthroughs in fields like cell biology, materials science, and nanotechnology.
The Society of Nuclear Medicine and Molecular Imaging has issued a new procedure standard/practice guideline for the use of fibroblast activation protein (FAP) PET, outlining indications, imaging procedures, and quality control/quality assurance procedures. The guideline aims to deliver diagnostic efficacy and study quality for patients.
Researchers found AI-based imaging technology improves disease diagnosis accuracy, particularly in cardiology, oncology, neurology, and ophthalmology. The technology also enhances diagnostic efficiency and reduces healthcare disparities by delivering high-quality diagnostics to underserved areas.
Researchers developed a novel technique called vectorial digitelligent optics for high-resolution non-line-of-sight imaging, overcoming traditional limitations such as intensity and shape deterioration. The new approach achieves improved resolution, image contrast, and signal-to-noise ratio in single- and multi-object NLOS imaging.
Elizabeth Hillman, a pioneer in imaging method development, is leading the new Department of Imaging Sciences at St. Jude Children's Research Hospital. The department aims to develop innovative new imaging and measurement approaches that will enable groundbreaking scientific studies and improve patient care.
Researchers review optical sectioning methods for 3D bioimaging, emphasizing coaxial and off-axis imaging techniques. The study reveals that off-axis imaging outperforms coaxial imaging in thick samples with detailed features close to the resolution limit.
A new imaging technique provides unparalleled view of bone marrow's intricate structure, focusing on LepR+ stromal cells. The technique combines tissue clearing and high-resolution confocal imaging, offering new insights into stem cell niches and skeletal tissue interactions.
Researchers developed a supramolecular probe with enhanced phosphorescence properties for biological imaging and sensing. The probe demonstrated outstanding stability, biocompatibility, and specificity in viscosity response, enabling real-time visualization of critical physiological processes in cells and in vivo biosensing.
A new study found that nearly half of high-risk prostate cancer patients have metastatic disease when evaluated with advanced PSMA-PET imaging, suggesting traditional imaging may underestimate cancer spread. This challenge the interpretation of previous studies like EMBARK trial, and support the inclusion of PSMA-PET for patient select...
Researchers have developed a novel imaging device called Nonlocal-Cam that extracts additional spectral and polarization information, empowering new applications in machine vision and microscopy. The camera leverages nonlocal dispersion in optically active materials to capture hidden data.
The inaugural workshop at Rice University's Center for Nanoscale Imaging Sciences brought together leading experts to explore advancements in cutting-edge imaging techniques. The event integrated diverse imaging modalities to uncover new insights into biological and materials systems.
Researchers introduce a new approach for megapixel-scale fluorescence microscopy through complex scattering media, resolving high-resolution images without requiring specialized equipment. This technique efficiently corrects distortions caused by light scattering, enabling clear imaging of dense targets.
Researchers explore innovative approaches to enhance imaging performance using metasurfaces, offering improved resolution, sharper images, and more accurate diagnostics. This technology has the potential to transform medical diagnostics and scientific discovery by overcoming limitations of conventional optical components.
A 10-year study found that short-term exposure to heat and air pollution was associated with an increase in medical imaging exams, particularly for chest, neuro, and musculoskeletal imaging. High temperatures had a greater impact on X-ray utilization, while high particulate matter levels were linked to increased CT scans.
A Chinese Medical Journal study reveals that patients with prostate cancer can undergo surgical removal without a pre-operative biopsy, using a combination of mpMRI and PSMA PET/CT imaging. This approach reduces costs and complications associated with traditional biopsy methods.
A new PACT system offers rapid imaging of living organisms, enabling the tracking of whole-body dynamics and disease progression. The system achieves spatial resolution of approximately 212 micrometers and enables the visualization of oxygen saturation across complex biological systems.
Researchers introduce a novel approach to multiplexed fringe projection profilometry using deep learning and frequency-domain multiplexing. This method achieves high-resolution and high-speed 3D imaging at near-one-order of magnitude-higher frame rates with conventional low-speed cameras.
The DEEPscope microscope combines two-photon and three-photon microscopy techniques to capture large-scale neural activity and structural details. Researchers achieved single-cell resolution imaging across extensive brain regions, observing over 4,500 neurons in deep cortical layers of transgenic mice.
The F.M. Kirby Research Center has driven critical breakthroughs in understanding the human brain in health and disease, aiding discoveries of effective diagnoses and interventions for various conditions.
Researchers at UCLA developed a new type of imaging technology that forms images in only one direction, enabling efficient and compact methods for asymmetric visual information processing and communication. The technology works exceptionally well under partially coherent light, achieving high-quality imaging with high power efficiency.
Compressed Ultra-Compact Femtosecond Photography (CUF) uses a super-dispersive metalens to capture transient events in a single image, overcoming conventional CUP technology's limitations. The system achieves ultrafast imaging at hundreds of trillions of frames per second with improved compactness and reliability.
Researchers introduce a novel computational holography-based method for high-resolution, non-invasive imaging through highly scattering media. The technique drastically reduces measurements required and corrects over 190,000 scattered modes using just 25 holographic frames.
Researchers have developed a new approach to infrared imaging using silicon metasurfaces, enabling broadband imaging across a wide spectrum. This breakthrough technology offers a promising solution for advanced infrared imaging applications, overcoming current limitations of bulky and power-hungry cameras.
A systematic review highlights common thoracic CT imaging findings in obese patients, including dynamic upper airway collapse and mosaic attenuation. The review also explores the potential link to fibrotic interstitial lung disease and discusses advancements in AI body morphometry for improved prognosis.
Researchers developed a new imaging technique using shortwave-infrared (SWIR) imaging to visualize the lymphatic system, improving resolution and sensitivity compared to traditional near-infrared (NIR) imaging. SWIR imaging with silver sulfide quantum dots offers superior image resolution and outperforms NIR-I imaging techniques.
Researchers have introduced DSFN to improve the speed and accuracy of diagnoses of retinal disorders. This AI-powered medical imaging technique combines retina images with vascular distribution information to accurately locate the fovea in complex clinical scenarios, enabling doctors to detect early signs of ocular diseases.
Researchers explore emerging role of Graph Filtration Learning (GFL) in revolutionizing HCC imaging analysis. GFL captures complex topological features inaccessible to traditional pixel-based methods.
A team of researchers developed a novel imaging system to address real-time monitoring challenges in ultrafast laser material processing. The Dual-Path Snapshot Compressive Microscopy (DP-SCM) system offers high-speed, high-resolution imaging capabilities.
MC-ISM offers a two-fold enhancement in three-dimensional resolution through pixel reassignment and further deconvolution post-processing. It also improves imaging speeds by 16 times over multifocal structured illumination microscopy.
A new scheme extends temporal ghost imaging to arbitrary wavelengths, enabling flexible operation in the mid-infrared. Computational TGI allows for scan-free imaging and studying ultrafast dynamics.
A new fluorescent imaging probe can non-invasively measure loss of smell, potentially eliminating biopsies used to diagnose anosmia. The tool targets the olfactory nerve, showing promise for diagnosing and treating smell disorders in patients.
A recent study by Harvard University researchers compares the effectiveness of one-photon (1P) versus two-photon (2P) voltage imaging in neural circuits. The study found that 2P excitation requires approximately 10,000 times more illumination power per cell compared to 1P excitation, posing significant challenges for 2P voltage imaging.
A novel light sheet fluorescence microscope, descSPIM, has been developed to facilitate 3D visualization of cleared tissues at a lower cost and with simplified design. The system successfully imaged various organs and tissues, including whole-brain samples and cancer models.
The policy statement offers guidelines for institutions and medical professionals to weigh benefits and risks of imaging in emergency departments. It includes recommendations for deferring imaging in children transferred to pediatric referral centers and using shared decision-making strategies when multiple reasonable choices exist. Th...
Carolyn J. Anderson has made significant contributions to the development of radiometal-based agents for diagnostic imaging and targeted radionuclide therapy of cancer, a field known as 'theranostics.' Her work led to the FDA approval of Lu-177 DOTATATE for treating neuroendocrine tumors.
A University of Houston researcher has developed a new method to detect cancer using PANORAMA imaging and fluorescent imaging, achieving a 98.7% accuracy rate. The method analyzes the number and cargo of small EVs in patients' blood samples, allowing for early detection and improved treatment efficacy.
Chinese researchers have developed a high-performance perovskite X-ray detector that offers improved spatial resolution, readout speed, and low-dose detection efficiency for medical imaging applications. The new detector uses a thick inorganic CsPbBr3 perovskite film printed on a dedicated CMOS pixel array.
Researchers have developed an efficient single pixel imaging scheme using a compact fiber laser array and untrained deep neural network. The system enables rapid speckle projection and reconstructs high-quality images, making it suitable for remote sensing and target detection applications.
A new study presents a safer, low-cost, and low-energy whole-body magnetic resonance imaging device that operates on standard wall power outlets without RF shielding. The device produces clear and detailed imaging comparable to high-power MRI devices, addressing unmet clinical needs in diverse healthcare settings worldwide.
A novel investigational PET imaging agent, <sup> 68 </sup> Ga-DPI-4452 (Debio 0328), has been shown to provide rapid and accurate visualization of lesions in clear cell renal cell cancer patients. The agent offers a superior alternative to standard CT imaging and could potentially be used as part of a theranostic pair.
Scientists at Harvard John A. Paulson School of Engineering and Applied Sciences have developed a compact, single-shot polarization imaging system that can provide a complete picture of polarization. The system uses two thin metasurfaces to capture the most complete polarization response of an object in real-time.
Researchers have developed a novel rigid endoscope system for visible-to-OTN hyperspectral imaging, enabling non-destructive imaging and visualization of lesions in normal tissues. The system demonstrated high accuracy in classifying molecular vibration information of various targets with an OTN wavelength range.
Researchers developed a new method to accelerate high-resolution ultrasound localization microscopy using deep learning, enabling faster and more accurate imaging of microvascular structures. The technique, called LOCA-ULM, improves spatial resolution and processing speed while maintaining sensitivity for functional imaging.
Researchers at NIH developed a novel AI-based method called P-GAN to improve next-generation imaging of cells in the retina. The technique reduces imaging acquisition and processing time by 100-fold, yielding greater contrast and improving image quality.
A new publication reviews optical scanning endoscopes based on a single multimode fiber, offering insights into their fundamental mechanisms, key performance metrics, and applications. The article discusses techniques to overcome modal scrambling properties and improves imaging resolution and contrast.
This novel approach combines data-driven deep learning with polarization imaging to extract higher-dimensional features and improve imaging quality. The integration of polarization information expands the application scope of existing intensity-based deep learning algorithms.
A team of scientists from MIT's McGovern Institute found that a new brain imaging method, DIANA, generates misleading signals instead of detecting neurons' rapid impulses. The study reveals that the trigger for the stimulator is causing artificial signals, which can disappear with slight variations in the imaging process.
Scientists use microprisms to track neuronal activity over multiple days with high resolution and throughput, gaining insights into how the brain adapts and changes over time.