一、課程背景與目的：

This course helps students to learn the basic and latest concepts, algorithms, theories, and implementations in medical imaging. The course also introduces some applications in AI-based medical image analysis.

二、課程之大綱與講者：

•   X-ray imaging systems

•   Computed tomography (CT): reconstruction mathematics, multidetector CT and its applications

•   Magnetic Resonance Imaging (MRI): theoretical basis, imaging techniques and system layout

•   Nuclear Medicine: radioisotope imaging, Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET)

•   Ultrasound Imaging Systems

•   Medical image data format (Digital Imaging and Communications in Medicine, DICOM)

•   Image classification for chest X-ray via deep learning

•   Image segmentation on 3D CT images via deep learning

•   Image registration on 3D CT and MR images via geometry and optimization

三、課程詳細時間地點以及方式：

上課時間：2020/9/7-11 第七八九節

課堂參與，小考或作業：30%，個人或小組計畫：70%