Researchers improved an existing imaging technique with a machine learning framework, enabling near-real-time sensing through complex media like fog, blood, and dusty environments. The technology has potential applications in biomedical imaging, self-driving vehicles, quality control, and waste removal.
Researchers have developed a high-resolution light-sheet imaging system that can capture seizure propagation in the brain of larval zebrafish in 3D. The system allows for rapid volumetric imaging with real-time correction of aberrations, providing new insights into seizure mechanisms and brain function.
Researchers have developed a new ultra-low-light ghost imaging technique that achieves megapixel radiology with extremely low X-ray photon consumption. This approach has the potential to make medical X-ray diagnostics less risky and more accessible, especially for children, pregnant patients, and people needing frequent scans.
Researchers developed a novel dual-frequency fiber-array photoacoustic computed tomography (PACT) technology, enabling high-resolution imaging of the entire brain and centimeters deep. This innovation overcomes the limitations of conventional PACT systems, allowing for precise functional imaging and metabolism assessment.
A new multimodal fluorescence-phase microscopy (MFPM) system combines fluorescence excitation with label-free imaging, achieving precise spatial co-registration and maximizing data acquisition efficiency. This unified platform enables comprehensive biological investigations with enhanced imaging throughput.
Researchers have introduced laser reflective tomography to overcome the speed-resolution trade-off in NLOS imaging, achieving kilometer-scale high-resolution imaging without scanning mechanisms. This innovative approach combines single-point detection with multi-angle projection data for accurate scene reconstruction.
A team of scientists developed a minimalist optical system for achromatic imaging based on a monolithic integrated meta-axicon cluster. The novel imaging paradigm combines natural wideband consistency and computational imaging technology to achieve large-aperture, wide field of view (FOV), broadband achromaticity, and high resolution.
Pre-retrieval imaging is revolutionizing liver transplantation by improving graft selection, reducing uncertainty, and supporting better surgical planning. Imaging modalities like ultrasound, CT, and MRI offer distinct strengths and limitations in evaluating liver graft quality, vascular anatomy, and biliary variants.
Research on targeted radioactive gold nanoparticles shows promise against aggressive brain tumors. Ultra-high-resolution PET scanners provide detailed views of mouse brains. New imaging tracers target key drivers of prostate cancer growth.
The Society of Nuclear Medicine and Molecular Imaging (SNMMI) has announced the recipients of five Drs. Jane & Abass Alavi Mars Shot Research Awards, supporting studies on inflammatory bowel disease, artery inflammation, and other conditions.
A 28-year-old woman was misdiagnosed with intussusception due to imaging similarities, but surgical removal revealed a rare ileal leiomyoma. Histopathology and immunohistochemistry confirmed the diagnosis, emphasizing the importance of combining imaging, histopathology, and immunohistochemistry for accurate diagnosis.
Researchers have identified RET as a biomarker for neuroendocrine prostate cancer and developed a theranostic pair for PET imaging and radioligand therapy. The approach demonstrates high uptake in tumors and shows promise for treatment, offering an alternative to current PSMA-based imaging.
Dr. Martin G. Pomper has been awarded the 2026 Benedict Cassen Prize for his outstanding contributions to nuclear medicine, particularly in the development of PSMA-targeted agents. His work has led to significant advances in cancer diagnosis and treatment, including the creation of commercial PSMA-targeted PET agents.
Irène Buvat, a pioneering researcher, has received the SNMMI's George Charles de Hevesy Nuclear Pioneer Award for her groundbreaking work in molecular imaging quantification. Her contributions have led to improved diagnosis and treatment of cancer through the development of simulation and radiomics tools.
PSMA PET scans have been shown to detect bone metastases that conventional imaging misses, resulting in faster disease progression and worse overall survival. Patients with these undetected lesions are at a higher risk of progressing to treatment-resistant cancer and dying sooner.
Researchers developed a novel PET imaging approach to detect immune-related adverse events in patients receiving immunotherapy. The approach uses CCR2-targeted radiotracer to visualize both tumor progression and cardiac inflammatory responses. Co-treatment with itacitinib improved tumor response while reducing cardiac inflammation.
A new SPECT/CT imaging approach can accurately differentiate between inflammation and fibrosis in interstitial lung disease (ILD) patients. Researchers used the molecular imaging agent ⁹⁹ᵐTc-maraciclatide to visualize inflammation, which is crucial for determining treatment decisions.
Dr. Richard E. Carson has made significant contributions to the understanding and application of nuclear medicine, particularly in neuroscience and neuropsychiatric disorders. His work led to the development of diverse tracer kinetic modeling techniques and innovative imaging systems like NeuroEXPLORER.
A global report warns of a looming shortage of nearly 100 million cancer care workers by 2050, driven by rising cancer rates and workforce gaps. This will place significant strain on health systems worldwide, particularly in nursing and diagnostic roles.
The Society of Nuclear Medicine and Molecular Imaging recognized six new Fellows for their exceptional contributions to the field. The SNMMI Fellowship honors members who have demonstrated excellence in scientific discovery, educational efforts, or clinical practice.
Researchers have made significant breakthroughs in nuclear medicine, with studies revealing uneven radiation doses in tiny kidney structures, improving survival rates for prostate cancer patients through targeted radiation therapy, and developing a new PET imaging approach to detect abdominal cancer spread. These advancements aim to im...
Researchers at the University of Texas at Arlington are developing a new technology to enable clear, detailed imaging of biological structures far beneath the skin's surface. This innovation has the potential to improve disease detection and diagnosis, particularly in areas such as cancer and vascular diseases.
The article discusses how AI is unlocking hidden potential in multimodal ophthalmic datasets, enabling high-precision screening and early detection of eye diseases. It highlights the integration of various imaging modalities and non-imaging data types to provide a comprehensive diagnostic framework.
Recent research published in The Journal of Nuclear Medicine has made significant advancements in brain imaging and cancer treatment. A new wearable brain imaging system, SmartBrain, enables real-time imaging beyond the lab, capturing high-resolution images of brain activity without requiring patients to remain still.
A team of scientists developed a wafer-level-manufactured meta-aspheric lens that achieves simultaneous wide field-of-view, ultrathin form factor, and high imaging quality. The design enables compact near-infrared imaging systems with robust performance in eye tracking, blood vessel imaging, and computational pixel super-resolution tasks.
Researchers propose a novel THz metasurface-enabled platform for integrated sensing and imaging, overcoming limitations of slow sequential data acquisition. The system achieves 100% binary image reconstruction with nanosecond-scale accuracy, enabling real-time applications in security, semiconductor, and pharmaceutical sectors.
Researchers developed a new chelator to improve cancer imaging and therapy. Additionally, analyzing brain glucose uptake in patients with non–small cell lung cancer may help predict prognosis. A targeted PET imaging agent is also being developed to detect liver cancer more effectively.
Recent breakthroughs in terahertz imaging technology have improved resolution, stability, and reconstruction fidelity for various applications. The integration of deep learning algorithms and hardware innovation is expected to enhance real-time, high-precision, and portable applications.
Researchers have developed new PET tracers that can track synaptic density in epilepsy and monitor tau buildup in Alzheimer's disease. A novel PET tracer also maps cellular energy use across the body, enabling faster imaging approaches for studying mitochondrial function.
Researchers developed PCA-iSIM, a novel super-resolution microscopy system that enables high-resolution imaging of subcellular dynamics in living cells. The approach integrates PCA to extract dominant signal components and enhance robustness and precision in parameter estimation.
Recent studies published in The Journal of Nuclear Medicine have made significant advancements in the field. Researchers have developed a new tracer to detect active collagen turnover following myocardial infarction and evaluated folate-based radioconjugates for ovarian cancer imaging. Additionally, targeted radiotherapy shows promise ...
Scientists at the University of Warwick have developed a fully fibre-coupled terahertz imaging system that significantly improves the speed and clinical practicality of terahertz imaging. The system delivers near video-rate imaging with high spatial resolution, opening up possibilities for rapid, non-invasive diagnosis.
The study investigated the link between heart attack-induced inflammation and cognitive decline, as well as the potential of PET-based metabolic tumor volume to predict CAR T-cell therapy outcomes. Additionally, researchers combined advanced imaging with genetic profiling to explore hidden metabolic patterns in recurrent brain cancer.
Dr. David H. Ballard, MD, has been awarded a $100,000 grant from the SNMMI Mars Shot Research Fund to develop novel PET/MR imaging techniques for metabolic activity and inflammation in Crohn's disease. The study aims to improve biologically informed decision-making and guide treatment decisions.
Researchers developed a new multiview DNN structure to capture complex 3D anatomy and physiology from multiple imaging views, improving diagnostic accuracy for cardiovascular conditions. The approach demonstrated better performance than single-view DNNs and provided a viable alternative for other medical imaging modalities.
Generative AI in medical imaging enables data synthesis, image enhancement, and modality translation to improve diagnosis and treatment outcomes. The review discusses challenges and future prospects, including convergence with large-scale foundation models and multimodal information for holistic understanding.
Researchers develop method for far-field superresolution imaging by disrupting spatial shift-invariance assumption in classical imaging systems. The new method, k-space superoscillation, achieves imaging resolution more than twice the diffraction limit without post-processing, outperforming traditional real-space superoscillatory systems.
Intravital mesoscale optical imaging enables high-resolution visualization across large fields of view, but faces challenges such as scattering and photobleaching. Advanced techniques like computational imaging and real-time processing are being developed to overcome these limitations.
Researchers have developed a new PSMA-targeted PET tracer that shows promise in early human studies, providing strong tumor uptake and favorable radiation dosimetry. Additionally, advanced dynamic PET imaging has been used to track heart amyloid buildup more precisely, detecting significant reductions after six months of tafamidis ther...
Researchers developed a new imaging technique using shortwave infrared imaging to visualize injectable filler materials during laryngoplasty, improving treatment accuracy and confirming correct placement. The technique has potential applications in identifying vocal fold pathologies and differentiating tissue layers.
Researchers are testing new targeted radiation approaches for early colorectal cancer, HER2-positive breast cancer, and advanced prostate cancer. Imaging tools track treatment movement and help evaluate dosing and safety.
The AI-enhanced OC-PAM system allows for longitudinal tracking of organoids, evaluating drug response and viability. It also detects rare cells within dense spheroids using radiomics-based analysis.
Scientists have developed a new technique that combines rotational ultrasound tomography (RUST) with photoacoustic tomography (PAT) to create 3D color images of soft tissues and blood vessel function. This method has the potential to enhance breast tumor imaging, monitor nerve damage caused by diabetes, and brain imaging.
A statewide partnership in Michigan led to a significant increase in patients receiving follow-up imaging after aortic aneurysm repair. This resulted in a reduced likelihood of dying within one year of surgery and improved detection of early problems that can lead to device failure or future complications.
Recent studies published in The Journal of Nuclear Medicine explore the use of interim PET scans to predict treatment response and survival in patients with large B-cell lymphoma. Additionally, a phase 2 trial evaluates the safety and effectiveness of a radiopharmaceutical targeting prostate-specific membrane antigen (PSMA) in advanced...
Researchers developed an innovative noninvasive technique that combines ultrasound and photoacoustic imaging to capture images of both tissue and blood vessels. The technology has the potential to address current gaps in medical imaging, providing faster and more comprehensive imaging at meaningful depths.
Researchers develop a new fabrication approach to produce multi-element optical components for super-resolution imaging, enabling customized imaging systems. The technique uses consumer-grade 3D printers and low-cost materials, producing high-performance lenses at a cost of less than $1 each.
Researchers developed new imaging approaches using specialized amino acid PET tracers to visualize aggressive breast, lung, and glioma cancers. The studies showed promising results, highlighting the potential of these tools for future cancer imaging and guiding targeted therapies.
FLIM microscopy enhances spatial and temporal resolution through multimodal imaging approaches, outpacing traditional methods. Persistent challenges need to be addressed for high-speed live-cell imaging.
The Singapore-MIT Alliance has launched a new research center to develop the world's first wearable ultrasound imaging system, enabling real-time monitoring of chronic conditions like hypertension and heart failure. The system will be validated through clinical trials at Tan Tock Seng Hospital.
Researchers have achieved perfect transfer functions in Coherent Diffractive Imaging (CDI) with various numerical apertures, pushing the imaging resolution to the Abbe diffraction limit. Their computational framework, RFD, solves the high-NA CDI problem for the first time, achieving a record-high imaging resolution of 0.57λ.
Researchers developed a physically consistent model for single-pixel imaging, capturing multiple degradations and improving image resolution and fidelity. The method outperforms competing approaches under real-world complex degradations, offering robustness and superiority in practical environments.
Recent studies explore new PET/CT imaging methods for prostate cancer staging and detection. Researchers assess improved performance of these advanced scans in detecting lymph node or bone spread, as well as their impact on treatment plans. Additionally, researchers examine the effectiveness of peptide receptor radionuclide therapy (PR...
Researchers proposed a neural array imaging system to overcome limitations of metalenses, achieving high-quality imaging with reduced thickness. The system uses an array of small-aperture metalenses, enabling accurate image reconstruction and task-level visual perception.
Several studies examine imaging tools for detecting prostate cancer, testing new PET tracers for spotting aggressive tumors. Researchers also explored a new scan to detect gastrointestinal stromal tumors and improved imaging agents for pancreatic cancer diagnosis.
A nationwide analysis found that roughly 25% of patients with Bell's palsy received CT or MRI scans within 30 days of diagnosis, not aligned with current guidelines. This study highlights the need for initiatives to align clinical practice with evidence-based guidelines, promoting early treatment and minimizing unnecessary imaging.
Researchers have created a method for simultaneous imaging of DNA and RNA in living cells using harmless infrared light, allowing for high-precision detection of all stages of cell death. This breakthrough enables the early detection of cellular damage that leads to aging or death.
Medical imaging foundation models revolutionize cancer precision medicine by integrating multimodal data, AI algorithms, and large language models. They enhance diagnostic accuracy and clinical interpretability, facilitating personalized therapy and intelligent clinical decision support.
The Center for Computational and AI-enabled Imaging Sciences brings together experts to develop AI-powered medical imaging applications that integrate information from different imaging types. This may include identifying previously unknown early indicators of disease onset.
Researchers propose FedM2CT, a federated metadata-constrained method that enables simultaneous reconstruction of multivendor CT images with different imaging geometries and sampling protocols in one framework. The framework outperforms competing methods on objective metrics, achieving higher PSNR/SSIM and lower RMSE.