Synopsis of recent research by authors named "Xuanqin Mou"
- Xuanqin Mou's recent research primarily focuses on improving image quality in computed tomography (CT) imaging, particularly in the context of low-dose scans and minimizing radiation exposure while maintaining diagnostic accuracy.
- His studies explore advanced techniques such as objective image quality assessment methods, deep learning approaches for image restoration, and specific solutions addressing artifacts caused by factors like beam hardening and metal implants in CT images.
- Additionally, Mou emphasizes the development of machine learning techniques and novel algorithms to enhance CT reconstruction and quality assurance processes for various imaging modalities, showcasing a commitment to advancing medical imaging technology through innovative methodologies.
