Temporal Autocorrelation is Predictive of Age—An Extensive MEG Time-Series Analysis

Brain Age Prediction Study Based on MEG Time Series Academic Background With the extension of human lifespan, understanding changes in the brain throughout the life cycle has become increasingly important. The structure and function of the brain undergo significant changes with age, which not only affect cognitive functions but are also closely rel...

Deep Learning to Quantify the Pace of Brain Aging in Relation to Neurocognitive Changes

As the global aging problem intensifies, the incidence of neurodegenerative diseases (such as Alzheimer’s Disease, AD) is increasing year by year. Brain aging (Brain Aging, BA) is one of the significant risk factors for neurodegenerative diseases, but it does not completely align with chronological age (Chronological Age, CA). Traditional methods f...

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...

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 ...

Quantitative Ultrasonic Backscatter Evaluation of Elastic and Mechanical Properties in a Rabbit Tendinopathy Healing Model

Application of Ultrasound Backscatter Technique in Quantitative Tendon Characterization Academic Background Tendinopathy is a common musculoskeletal disease characterized by alterations in the microstructure, composition, and cellular organization of tendons, leading to pain and decreased function. Tendinopathy is typically initiated by overuse and...

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...

Optimal Sensor Selection for Motion-Corrected Supine Breast MRI with a Wearable Coil

Optimal Sensor Selection for Motion-Corrected Supine Breast MRI with a Wearable Coil

Study on Motion Correction for Supine Breast MRI Based on Wearable Coils Academic Background Magnetic Resonance Imaging (MRI) is a crucial tool in the diagnosis and monitoring of breast cancer. Currently, standard breast MRI is typically performed in the prone position, which helps to minimize motion artifacts caused by respiratory movement. Howeve...

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...

Deep Reconstruction Framework with Self-Calibration Mechanisms for Accelerated Chemical Exchange Saturation Transfer Imaging

Application of the Deep Reconstruction Framework with Self-Calibration Mechanisms (DEISM) in Accelerated Chemical Exchange Saturation Transfer Imaging Academic Background Chemical Exchange Saturation Transfer (CEST) imaging is a highly sensitive molecular magnetic resonance imaging technique capable of detecting biomolecules associated with various...

Self-Supervised Feature Detection and 3D Reconstruction for Real-Time Neuroendoscopic Guidance

Self-Supervised Feature Detection and 3D Reconstruction for Real-Time Neuroendoscopic Guidance

Research on Real-Time 3D Reconstruction and Navigation in Neuroendoscopy Based on Self-Supervised Learning Academic Background Neuroendoscopic surgery, as a minimally invasive surgical technique, is widely used in the treatment of deep brain lesions, such as endoscopic third ventriculostomy (ETV), choroid plexus cauterization, and cyst fenestration...