A study found that nearly half of Medicare patients with non-small cell lung cancer do not receive the recommended FDG PET/CT imaging prior to radiation therapy, leading to decreased overall and cancer-specific survival rates. This lack of adherence is linked to greater mortality rates.
A novel imaging agent, 68Ga-FAPI, has been shown to reduce the number of false-positive PET/CT findings among cancer patients recently vaccinated for COVID-19. This can help prevent costly follow-up and false management decisions for cancer patients.
The device converts pressure into structural colors, imaging gaseous properties. It has applications in environmental monitoring and healthcare.
Speckle-correlation imaging technique extends its field of view by considering a limited memory effect. Researchers proposed an algorithm to extrapolate the correlation in reconstruction, estimating object and decay simultaneously.
A new protocol for live imaging of adult C. elegans has been developed, extending imaging time to over two hours while avoiding heat stress in the specimen. This breakthrough allows for high-resolution imaging of cell dynamics and developmental processes.
The Beckman Institute has established a new national collaborative Biomedical Technology Research Resource to develop label-free optical imaging technologies. The center aims to create optical and computational imaging technologies that can serve as a resource for clinicians and researchers.
A study published in American Journal of Roentgenology found that a PACS tool improved completion rates of clinically necessary follow-up imaging. The tool identified socioeconomically disadvantaged patients at increased risk of failure, and referrer agreements played a crucial role in improving recommendations.
Researchers propose an optical imaging system for real-time hypoxia imaging in cancer treatment. The technique utilizes protoporphyrin IX to enhance contrast between tumors and healthy tissues, allowing for more effective surgical removal.
Interdisciplinary researchers at the Beckman Institute have received a four-year, $2M award from the National Institutes of Health to develop a device that can instantly enable real-time 3D ultrasound imaging. The device, named FASTER, is designed to improve high-quality medical imaging accessibility in diverse communities.
Researchers have developed a flexible endoscopic imaging probe using a bendable graded index (GRIN) lens, enabling 3D microscopic imaging of tissue. The new technology could shorten biopsy waiting times to minutes and enable real-time monitoring of tissue changes.
A novel 937-nm laser source has been developed for multiphoton microscopy, enabling deep tissue imaging at depths of over 600 µm with only 10 mW of power. This breakthrough technology offers a good balance between sensitivity, penetration depth, and imaging speed.
Rare-earth based materials are used for high-resolution brain imaging and efficient diagnosis of brain diseases through magnetic resonance imaging, computed tomography imaging, and fluorescence imaging technologies. Additionally, they can be used for targeted therapy, overcoming the blood-brain barrier.
A new study shows that PSMA PET/CT imaging can change treatment plans for nearly 50% of patients with prostate cancer recurrence after radical prostatectomy. The imaging technique detected disease in 46.9% of patients, leading to major changes in treatment plans, including recommendations for additional treatments.
Dielectric metalenses have made significant progress in compact imaging systems, offering aberration-correction and dispersion-engineering capabilities. However, challenges such as phase discretization, diffraction constraints, and crosstalk among sub-units need to be addressed for practical development.
A proof-of-concept study developed three machine learning models to predict posttreatment recurrence in early-stage hepatocellular carcinoma patients. The models achieved high accuracy using imaging data alone, while combining clinical data did not significantly improve performance.
The BAUS patch provides over 48 hours of robust adhesion and enables continuous imaging of internal organs and tissues. This breakthrough device overcomes challenges faced by existing stretchable ultrasound imaging devices.
A new AI-based dynamic brain imaging technology has been introduced by Carnegie Mellon University, which can map out rapidly changing electrical activity in the brain with high precision and speed. The technology uses deep learning approaches to translate scalp EEG signals back to neural circuit activity without human intervention.
A newly developed polarizer-embedded metalens microscope system achieves high-quality, wide-field imaging with a large depth-of-field, significantly expanding human eyesight to the microworld. The chip-scale device offers a thousand-fold reduction in volume and weight compared to traditional microscopes.
Gwangju Institute of Science and Technology researchers have developed a rabbit-scale three-dimensional magnetic particle imaging system that can scan large volumes at high resolution. The system uses amplitude modulation to minimize peripheral nerve stimulation while maintaining high image quality.
Researchers have developed a new algorithm to reconstruct incident light field from far-field speckles, enabling three-dimensional quantitative phase imaging with nanoscale axial sensitivity and lateral resolution. This technology paves the way for in vivo label-free characterization of cells and tissue with minimal invasiveness.
A new artificial intelligence probe has been developed to detect tumor malignancy through non-invasive imaging, utilizing elevated potassium ion concentrations in malignant tumors. The KDMN probe provides superior MRI contrast and fluorescence imaging performance, allowing for accurate detection of malignant tumors.
Researchers from Huazhong University of Science and Technology developed a miniaturized microfiber ultrasound sensor for photoacoustic imaging, improving sensitivity by one order of magnitude. The sensor achieves low noise equivalent pressure and broad response bandwidth, enabling high-resolution imaging with large depth capabilities.
By using the brain's visual response as feedback, researchers can reconstruct images of simple objects in real-time. The technique has potential applications in augmenting human capabilities and could one day be used to bring together human and artificial intelligence.
A joint team of scientists developed a terahertz spatial light modulator based on metasurface absorber and dual-frequency liquid crystal, enabling dual-color THz CS imaging. The auto-calibrated CS algorithm improves image fidelity, while frequency-switching enables Hadamard masks with negative element values.
A scoping review of knowledge graph applications in medical imaging analysis identifies increasing trend and potential future directions. The study highlights the effectiveness of prior knowledge in medical imaging tasks, but also reveals limitations, including limited annotated data and weak generalizability.
Dr. Simon R. Cherry received the 2022 Benedict Cassen Prize for his groundbreaking contributions to nuclear medicine instrumentation and molecular imaging. He was recognized for his pioneering advancements in small-animal PET, PET/MRI hybrid imaging, and total-body PET.
A HKUST research team developed a microscope combining 3PM with adaptive optics, achieving high-resolution imaging of neuronal structures in mouse cortices up to 750µm below the skull. This technology holds great potential to advance in-vivo imaging techniques and facilitate study of living brain.
Schwaiger received the SNMMI Georg Charles de Hevesy Nuclear Pioneer Award for his significant work in multimodal imaging and development of novel quantitative methods. His research interests included oncologic PET, thyroid endocrine, and neuroendocrine diseases.
Andrei Iagaru has received the inaugural Sam Gambhir Trailblazer Award from the Society of Nuclear Medicine and Molecular Imaging (SNMMI) for his outstanding contributions to transformative research and exceptional mentorship. He is recognized for his work in PET/MRI, PET/CT, and targeted radionuclide therapy.
A study using PET imaging found that severe obstructive sleep apnea is associated with abnormal heart blood flow reserve, increasing the risk of heart disease. The findings suggest that cardiac PET imaging can identify high-risk OSA patients.
A novel somatostatin-receptor targeting peptide has shown excellent imaging in patients with meningiomas, identifying previously undetected lesions. The new agent offers significant logistical advantages, including a longer half-life and large-scale production capabilities.
Scientists create genetically engineered mouse model that changes color in response to light, allowing them to isolate background noise from blood flow and enhance imaging techniques. This breakthrough enables researchers to observe internal physiology with unprecedented accuracy, paving the way for new treatments and therapies.
The new technique, 3D optical coherence refraction tomography (3D OCRT), produces highly detailed images revealing features difficult to observe with traditional OCT. It has the potential for biomedical research and eventually more accurate medical diagnostic imaging.
The JNM Molecular Imaging of Neurodegeneration Supplement provides an overview of molecular imaging techniques in neurodegenerative disorders. The supplement aims to improve early and differential diagnosis, as well as stratify and monitor therapy in these disorders.
Researchers have developed an imaging technique to capture information about brain tissue at the subcellular level, combining seven methods to visualize neural networks and individual cells. This approach allows for a complete picture of brain structure and function, overcoming challenges of imaging tissues at different scales.
The review highlights advances in fundamental visualization methods for medical images in 3D, including scalar, vector, and tensor data. Medical professionals can quickly locate proper techniques using a taxonomy of medical problems and examples of health applications.
A team of researchers has developed a novel method using infrared imaging to assess glymphatic function, which is crucial for understanding neurological conditions. The technique allows for the measurement of temporal dynamics of glymphatic functions and provides insights into brain fluid exchange and clearance.
The QUSTom project aims to develop a new medical imaging modality using ultrasound and supercomputing, improving breast cancer diagnosis and potentially replacing mammograms. The technology will offer superior image quality and better tumor monitoring, while being completely safe for patients.
A new AI-based localization technique enhances photoacoustic imaging speed and spatial resolution, reducing laser exposure and imaging time. The technology offers a solution for preclinical and clinical applications requiring fast and fine spatial resolution.
A research team at HKUST has developed a long-term in vivo imaging technique to study spinal cord injury, allowing for repeated and stable imaging without triggering inflammation. The breakthrough enables researchers to track microglia and understand their interaction with degenerating and regenerating axons.
Recent deep-learning-empowered spectral imaging techniques enable fast reconstruction within seconds, improving spectral resolution. The authors categorize methods into three groups based on light characteristics, facilitating further research.
A new AI-driven super-resolution technique, Ghost Imaging using Deep neural network Constraint (GIDC), increases spatial resolution to more than 10 times the diffraction limit. The method uses single-pixel measurements and a physics-enhanced deep neural network to restore high-quality images.
The new center aims to develop quantitative imaging markers to reduce subjectivity in medical image diagnosis and improve consistency. Researchers will explore cutting-edge imaging modalities and extract effective image features from existing clinical imaging modalities to aid in cancer detection and treatment.
A new deep learning approach, dynamic synthesis network (DSN), enables high-quality imaging through complex scattering media. DSN adapts to different scattering conditions by dynamically adjusting model weights and removing artifacts.
A research team has proposed a new approach to achieve background-suppressed tumor-targeted photoacoustic imaging, enabling deep-tissue tumor-specific imaging in vivo. The approach uses genetically engineered bacteria to deliver a photoswitchable chromoprotein to the tumor site, eliminating interference from blood background signals.
A new microscope allows for real-time aberration-free dynamic speckle microscopy using compressed time-reversal matrix technology. This enables almost real-time volumetric adaptive optical imaging with reduced data acquisition time and improved lateral resolution.
A team of scientists developed an AI-driven super-resolution technique called Ghost Imaging using Deep neural network Constraint (GIDC) to overcome the diffraction limit in long-distance imaging. GIDC uses single-pixel measurements and a physics-enhanced deep neural network to restore high-quality images.
Researchers at Beckman Institute have defined a mathematical framework for identifying hallucinations in biomedical images. This framework will enable researchers and radiologists to quantitatively assess their image reconstruction methods and prevent patient misdiagnosis.
The Society of Nuclear Medicine and Molecular Imaging has published appropriate use criteria (AUC) for prostate-specific membrane antigen (PSMA) PET imaging. The guidelines provide a framework for healthcare providers to determine the most effective use of PSMA PET scans in patients with suspected or known prostate cancer.
Scientists successfully image a single ion in an ion trap system on nanosecond timescale, achieving resolution beyond 175 nm. The technique also demonstrates sub-10nm positioning accuracy and time resolution of 50 ns.
Researchers developed a new photoacoustic imaging technique to visualize deep tissues using a contrast agent based on surfactant-stripped semiconducting polymer micelles. The method achieved the deepest penetration depth among PA preclinical studies, exceeding 5.8cm in tissue thickness.
Researchers created a 3D imaging system using multimode optic fibers, overcoming limitations of scrambling and enabling high-resolution imaging. The system can scan a scene at nearly 23,000 points per second and record near-real-time 3D video.
Researchers developed photoswitchable label proteins to visualize small numbers of cells in live organisms, enabling improved understanding of diseases like the immune system or tumor development. They also created sensors for optoacoustic and super-resolution imaging to visualize small molecules or ions at nanometer resolution.
Researchers developed a novel PSOCT method, polarization state tracing (PST), to image depth-resolved collagen organization within living tissues without damaging the sample. This allows for accurate clinical diagnosis and image-guided surgery, targeting precision medicine.
A new international study found that routine non-contrast computed tomography (CT) screening yielded similar outcomes to advanced imaging modalities like CT perfusion and MRI for eligible stroke patients. The data showed faster times to treatment for patients screened with less-costly, more accessible imaging technologies.
Researchers have proposed a wearable, flexible scanner to enable patients to move naturally during brain scans. The technology uses photoacoustic imaging to visualize the cerebral cortex without the need for sedation or confined spaces.
A study published in The Journal of Nuclear Medicine found that PSMA PET/CT is more accurate than conventional CT in detecting hepatocellular carcinoma metastases. This led to a change in management plans for nearly half of the patients, enabling them to receive effective treatment.
The study found that cardiac imaging methods became almost exclusively the domain of cardiologists, with reimbursement cuts reversing this trend. However, technological advances made competing exams appealing options, leading to a shift in utilization from cardiologist offices to hospital outpatient departments.
A new imaging technique using PET/MR and a PET tracer directed against CXCR4 shows high accuracy in detecting MALT lymphomas of the stomach, potentially reducing the need for repeated gastroscopies. The study found that [68Ga]Pentixafor PET/MR achieved 97% accuracy in detecting tumours compared to gastroscopy.
A new PSMA PET imaging technique can detect prostate cancer lesions throughout the body, enabling more precise treatment. The study shows that 64% of patients opted for alternative treatments after scanning due to detected metastasis outside the prostate.