Medical Imaging
本课程系统讲授主流医学成像模态的物理原理与图像重建算法，涵盖X射线、CT、超声、MRI、PET与SPECT。学生学习投影重建、傅里叶变换、滤波反投影、迭代重建等核心算法，掌握图像质量评价、伪影识别与剂量优化方法。课程结合临床应用案例，培养学生医学图像处理与分析能力，为影像设备研发与放射科工作打下基础。
This course systematically covers physical principles and reconstruction algorithms of major medical imaging modalities, including X-ray, CT, ultrasound, MRI, PET, and SPECT. Students learn projection reconstruction, Fourier transforms, filtered back-projection, and iterative methods, with image quality evaluation, artifact identification, and dose optimization. Clinical cases build skills in medical image processing and imaging device R&D.
学生使用Python或MATLAB读取模拟投影数据，实现Ramp滤波与Shepp-Logan滤波的反投影重建算法，对比不同滤波器对图像分辨率与噪声的影响，并对重建结果进行客观评价与可视化展示。
Using Python or MATLAB, students load simulated projection data and implement filtered back-projection with Ramp and Shepp-Logan filters. They compare the effects of different filters on image resolution and noise, and present objective evaluation and visualization of reconstruction results.