生醫影像暨放射科學概論
Introduction to Biomedical Imaging and Radiological Sciences
| 節 | 週五 |
|---|---|
1 08:00–08:50 | 生醫影像暨放射科學概論 YT104 2 節連堂 |
2 09:00–09:50 |
* 根據陽明交大上課時間表所列
This class is to make introductions for advanced level of biomedical imaging and radiological sciences. Each specific topic will be lectured by faculties of Department of biomedical imaging and radiological sciences, from radiation biology, radiation physics, radiation chemistry, molecular imaging, nuclear medicine, MRI and Programming, deep learning and AI, to clinical based radiation sciences. The contents are for master degree students.
radiation related courses in college level
The instructor will prepare the course materials and handouts based on their experience in various professional fields. Through lectures, student interactions, and the provision of case discussions, the instructor will help students understand the course content to achieve the teaching objectives.
Midterm exam 50%; final exam 50%
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to radiation therapyMolecular imaging of metabolic basis |
| 第 2 週 | Magnetic resonance imaging principles and applications |
| 第 3 週 | 中秋節放假 (Online course)- Production of PET Radiopharmaceuticals |
| 第 4 週 | Introduction of functional brain imaging |
| 第 5 週 | Introduction of immuno-imaging |
| 第 6 週 | Introduction to radiation therapy |
| 第 7 週 | Introduction to radiation safety |
| 第 8 週 | Midterm exam |
| 第 9 週 | Diagnostic radiopharmaceuticals |
| 第 10 週 | MRI for small animals |
| 第 11 週 | Introduction to therapeutic ultrasound |
| 第 12 週 | Liver Radioembolization |
| 第 13 週 | Molecular radiation biology |
| 第 14 週 | Artificial Intelligence in Radiology |
| 第 15 週 | Applications of deep learning neural network in medical imaging |
| 第 16 週 | Final exam |
| 第 17 週 | 彈性授課:生醫影像與放射相關文獻選讀Online course: Molecular Imaging in Immunotherapy (期末考範圍) |
| 第 18 週 | 彈性授課:生醫影像與放射相關文獻選讀Online course: Molecular Imaging in Immunotherapy (期末考範圍) |
Handouts provided by each lecturer