Exploration of Coincidence Detection of Cascade Photons to Enhance Preclinical Multi-Radionuclide SPECT Imaging

Exploration of Coincidence Detection of Cascade Photons to Enhance Preclinical Multi-Radionuclide SPECT Imaging

Exploration of Coincidence Detection of Cascade Photons to Improve Multi-Nuclide SPECT Imaging Radiopharmaceutical Therapy (RPT) has garnered increasing interest in recent years, especially in SPECT imaging involving the simultaneous use of multiple tracers. Traditional imaging methods are prone to scattering and crosstalk from different energy γ-r...

Whole Reconstruction-Free System Design for Direct Positron Emission Imaging from Image Generation to Attenuation Correction

Whole Reconstruction-Free System Design for Direct Positron Emission Imaging from Image Generation to Attenuation Correction

Background Introduction A hundred years ago, Hevesy first proposed using radioactive tracers as biological markers in plants, later validated through experiments in rats. This discovery propelled the development of nuclear medicine and molecular imaging in the biomedical field, making it possible to quantitatively visualize biological processes at ...

Evoked Component Analysis (ECA): Decomposing the Functional Ultrasound Signal with GLM-Regularization

Evoked Component Analysis (ECA): Decomposing Functional Ultrasound Signals Based on GLM Regularization Background The analysis of functional neuroimaging data aims to uncover spatial and temporal patterns of brain activity. Existing data analysis methods mainly fall into two categories: fully data-driven analysis methods and methods that rely on pr...

Joint B0 and Image Reconstruction in Low-Field MRI by Physics-Informed Deep-Learning

Joint B0 and Image Reconstruction in Low-Field MRI by Physics-Informed Deep-Learning

Low-Field MRI Image Reconstruction Using Physics-Informed Deep Learning Background: The application of magnetic resonance imaging (MRI) technology in low-field magnetic resonance imaging has gained increasing attention in recent years. Low-field MRI, due to its low cost and simplified maintenance, is considered to have a broad application prospect ...

Ultrasound-Guided Mechanical High-Intensity Focused Ultrasound (Histotripsy) Through an Acoustically Permeable Polyolefin-Based Cranioplasty Device

Research Report: Feasibility Study of Intracranial Focused Ultrasound Ablation under Ultrasonic Guidance through Polyolefin-Based Cranial Implants Academic Background Histotripsy is a non-thermal, non-invasive cancer tumor ablation technology. When applied intracranially, it is limited by the skull’s significant absorption and reflection of ultraso...

A High Signal-to-Noise Ratio Spatial Encoding Technique for Magnetic Particle Imaging

Space-Specific Mixed Excitation Technique for High Signal-to-Noise Ratio Spatial Encoding in Magnetic Particle Imaging Background Introduction Magnetic Particle Imaging (MPI) is an emerging, radiation-free tracer imaging technology that visualizes the spatial distribution of superparamagnetic iron oxide nanoparticles (SPIOs) to achieve high-sensiti...

Mechanosensitive Ion Channels Piezo1 and Piezo2 in Vivo Mediate Motor Response During Transcranial Focused Ultrasound Stimulation of Rodent Cerebral Motor Cortex

Mechanosensitive Ion Channels Piezo1 and Piezo2 in Vivo Mediate Motor Response During Transcranial Focused Ultrasound Stimulation of Rodent Cerebral Motor Cortex

Piezo1 and Piezo2 Mechanosensitive Ion Channels Regulate the Response of Rodents to Transcranial Focused Ultrasound Stimulation of the Motor Cortex Academic Background Transcranial Focused Ultrasound (TFUS) neuromodulation is a non-invasive, deep brain stimulation technique that shows great potential in the study of neural circuits and the treatmen...

A Cervical Elastography System Based on Transvaginal Ultrasound Imaging

A Method for Quantifying Cervical Elasticity During Pregnancy Based on Transvaginal Ultrasound and Pressure Measurement Background and Motivation Preterm birth (delivery before 37 weeks of gestation) is a major cause of neonatal morbidity and mortality. Due to the high risks associated with preterm birth, many pregnant women with preterm symptoms n...

TGFuse: An Infrared and Visible Image Fusion Approach Based on Transformer and Generative Adversarial Network

TGFuse: An Infrared and Visible Image Fusion Approach Based on Transformer and Generative Adversarial Network

TGFuse: A Transformer and Generative Adversarial Network-Based Method for Infrared and Visible Image Fusion Background Introduction With the development of imaging devices and analysis methods, multimodal visual data is rapidly emerging, with many practical applications. In these applications, image fusion plays a significant role in helping the hu...

Advancing Hyperspectral and Multispectral Image Fusion: An Information-Aware Transformer-Based Unfolding Network

Advancing Hyperspectral and Multispectral Image Fusion: An Information-Aware Transformer-Based Unfolding Network

Information-aware Transformer Unfolding Network for Hyperspectral and Multispectral Image Fusion Background Introduction Hyperspectral images (HSIs) play a crucial role in remote sensing applications such as material identification, image classification, target detection, and environmental monitoring, due to their spectral information across multip...