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...

Imaging Bioluminescence by Detecting Localized Haemodynamic Contrast from Photosensitized Vasculature

Imaging Bioluminescence by Detecting Localized Haemodynamic Contrast from Photosensitized Vasculature

Academic News Report: New MRI Technology Achieves Biological Fluorescence Imaging by Detecting Local Hemodynamics of Photosensitive Blood Vessels Academic Background Introduction Bioluminescent probes are widely used for monitoring biomedical processes and cellular targets in living animals. However, the absorption and scattering of visible light b...

Staged Bilateral MRI-Guided Focused Ultrasound Subthalamotomy for Parkinson Disease

MRI-Guided Staged Bilateral Focused Ultrasound Subthalamotomy for Parkinson’s Disease Background Parkinson’s Disease (PD) is a common neurodegenerative disorder, characterized mainly by motor symptoms such as tremor, rigidity, and bradykinesia. Traditionally, treatments for PD include medication and surgical interventions such as Deep Brain Stimula...

Cortical Networks Relating to Arousal Are Differentially Coupled to Neural Activity and Hemodynamics

Differences in Coupling Between Cortical Networks Related to Arousal in Neural Activity and Hemodynamics Academic Background In the absence of specific sensory inputs or behavioral tasks, the brain generates structured activity patterns. This organized activity is modulated by the state of arousal. The relationship between arousal and cortical acti...

Deep Geometric Learning with Monotonicity Constraints for Alzheimer’s Disease Progression

Using Monotonicity-Constrained Deep Geometric Learning to Predict Alzheimer’s Disease Progression Background Introduction Alzheimer’s Disease (AD) is a devastating neurodegenerative disorder that gradually leads to irreversible cognitive decline, eventually resulting in dementia. Early identification and progression prediction of this disease are c...