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...

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-scale and Multi-level Feature Assessment Framework for Classification of Parkinson’s Disease State from Short-term Motor Tasks

Academic Background Parkinson’s Disease (PD) is the second most common chronic neurodegenerative disease, primarily affecting individuals aged 65 and above. With the global population aging, the prevalence of Parkinson’s disease is projected to increase from 7 million in 2015 to 13 million by 2040. Currently, the diagnosis of Parkinson’s disease ma...

A Quantitative Comparison of Electrode Positions for Respiratory Surface EMG

A Quantitative Comparison Study of Electrode Positions for Respiratory Surface Electromyography Academic Background Respiratory surface electromyography (SEMG) is a non-invasive technique used to record the electrical activity of respiratory muscles. It is widely applied in analyzing respiratory effort, patient-ventilator asynchrony, and respirator...

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...