Enhancing Passive Cavitation Imaging Using Pth Root Compression Delay, Sum, and Integrate Beamforming: In Vitro and In Vivo Studies

Application of pth Root Compression Delay, Sum and Integrate Beamforming in Passive Cavitation Imaging Academic Background Passive Cavitation Imaging (PCI) is a technique used to monitor bubble activity during ultrasound therapy, widely applied in treatment scenarios such as drug delivery and tissue ablation (e.g., Histotripsy). However, existing P...

Modeling Tissue Electroporation: Effects of Electric Field Direction Change Between Pulses and Increased Conductivity in Post-IRE Regions

Tissue Electroporation Modeling Research Background Introduction Electroporation is a phenomenon that occurs when cell membranes are exposed to short electrical pulses, increasing the permeability of the cell membrane to ions and macromolecules. Depending on the impact of electrical pulses on the cell membrane, electroporation can be classified as ...

Design, Fabrication and Test of a Lightweight 3.0 T Cryogen-Free MRI System

Design and Testing of a Lightweight 3.0 T Cryogen-Free MRI System Academic Background Magnetic Resonance Imaging (MRI), as a non-invasive, radiation-free imaging technology, has been widely used in medical diagnostics and scientific research. Especially in the fields of small animal studies and material analysis, high-field MRI systems can provide ...

Passive Beamforming Metasurfaces for Microwave-Induced Thermoacoustic Imaging

Passive Beamforming Metasurfaces for Microwave-Induced Thermoacoustic Imaging Academic Background Microwave-induced thermoacoustic imaging (MTAI) is an emerging medical imaging technology that combines the advantages of microwave and ultrasound imaging. It generates ultrasonic waves (i.e., thermoacoustic signals) by irradiating biological tissues w...

Two-source Validation of Online Surface EMG Decomposition Using Progressive FastICA Peel-off

Two-Source Validation Study of Online Surface Electromyogram Decomposition Academic Background Surface electromyogram (SEMG) signals are crucial representations of muscle activity and are widely used in fields such as sports rehabilitation, robotic control, and human-machine interaction. However, SEMG signals are challenging to decompose due to the...

Imitation Learning for Path Planning in Cardiac Percutaneous Interventions

Application of Imitation Learning in Path Planning for Percutaneous Cardiac Interventions Academic Background Cardiac valve diseases, particularly mitral regurgitation (MR), are the third most common type of valvular heart disease globally and have a higher incidence in the elderly population. MR is characterized by the incomplete closure of the mi...

Design and Evaluation of a Sensor-Instrumented Clutch Mechanism for Quasi-Passive Back Exosuits

Academic Background In modern work environments, especially in industries involving repetitive lifting and bending tasks, low back injuries are a common and costly occupational health issue. Statistics show that low back injuries account for 35% of all occupational musculoskeletal injuries in the United States. Although ergonomic controls (such as ...

Accelerated Simulation of Multi-Electrode Arrays Using Sparse and Low-Rank Matrix Techniques

Accelerating Multi-Electrode Array Simulation with Sparse and Low-Rank Matrix Techniques Academic Background Multi-electrode arrays (MEAs) play a crucial role in the field of neural stimulation, particularly in neural prosthetics such as retinal prostheses. These devices restore vision or treat neurodegenerative diseases by electrically stimulating...

Unsupervised Accuracy Estimation for Brain-Computer Interfaces Based on Selective Auditory Attention Decoding

Unsupervised Accuracy Estimation for Brain-Computer Interfaces Based on Selective Auditory Attention Decoding Academic Background In complex auditory environments, humans can selectively focus on a specific sound source while ignoring other interfering sounds—a phenomenon known as the “cocktail party effect.” Selective Auditory Attention Decoding (...

Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling

Multi-Material Decomposition Research Based on Spectral Diffusion Posterior Sampling Background Introduction In the field of medical imaging, CT (Computed Tomography) technology is widely used in disease diagnosis and treatment planning. In recent years, spectral CT has become a research hotspot due to its ability to provide energy-dependent attenu...