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 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 (...
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 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 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...
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...
Machine Learning Study on the Relationship Between Heart Rate and Body Temperature in Pediatric Intensive Care Units Academic Background In the pediatric intensive care unit (PICU), heart rate (HR) and body temperature (BT) are crucial clinical indicators that reflect a patient’s physiological status. Although the relationship between HR and BT has...
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...
Research Report: The Role of Ketones in Cellular Physiology: Metabolic, Signaling, and Therapeutic Advances Academic Background For a long time, carbohydrate (CHO) intake has been considered a key factor in enhancing athletic performance during endurance exercise. The traditional view holds that a high-carbohydrate low-fat diet (HCLF) can increase ...
Study on the Role of KV7 Channels in Regulating Smooth Muscle Contraction in Mouse Corpus Cavernosum Academic Background Erectile dysfunction (ED) is a significant health issue that impacts the quality of life for men. Since the introduction of phosphodiesterase 5 (PDE5) inhibitors like Sildenafil in the 1990s, there has been notable progress in th...