校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

生醫影像原理與應用

Principles of Biomedical Imaging

學期
111-2
學分
3 學分
當期課號
132500
永久課號
BEIR30061
開課單位
生物醫學影像暨放射科學系
授課教師
詹明賢、吳駿一、高瑀絜、陳志成、林慶波、盧家鋒
校區
陽明
類別
選修
上課時間表
週五
7
15:30–16:20
生醫影像原理與應用
YB101
3 節連堂
8
16:30–17:20
9
17:30–18:20

* 根據陽明交大上課時間表所列

概述

1. To whom without background of imaging techniques: -> Understand the essence of digital images -> Understand the principles of image modalities 2. To whom with license of radiological technologist -> Apply the image processing methods -> Compare the imaging properties and evaluate their applications

先修科目

N/A

教學方式

Experts from various professional fields will be invited to introduce the basic working principles, technical characteristics, clinical application value, and precautions of relevant technologies. This course focuses on introducing the similarities and differences of different imaging techniques, enabling students to understand their clinical application timing. Furthermore, it will introduce common image processing methods to enhance the value of clinical images for diagnosis and therapeutic efficacy evaluation.

評分方式

Attendance and participation (30%) Midterm exam (30%) Final exam (40%)

週次計畫
週次主題
第 1 週Introduction (digital images, image quality, and basic image operations)
第 2 週Image Processing (I) (transformation, filtering, enhancement etc.)
第 3 週Image Processing (II) (processing in the frequency domain using FT etc.)
第 4 週Radiography
第 5 週X-ray CT (I) (data acquisition etc.)
第 6 週X-ray CT (II) (image reconstruction in 3D, clinical use etc.)
第 7 週US (image formation and Doppler imaging etc.)
第 8 週Midterm Exam
第 9 週MRI (I) (basic principles)
第 10 週MRI (II) (diffusion study)
第 11 週MRI (III) (perfusion study)
第 12 週MR (IV) (functional study)
第 13 週PET (I) (Nuclear medicine)
第 14 週PET (II) (Imaging and analysis)
第 15 週Discussion of multimodality imaging approaches
第 16 週Final Exam
第 17 週literature survey (X-ray, CT, MRI, PET, US)
第 18 週literature survey (Image applications, AI)
教科書

Fundamentals of Medical Imaging, 2nd Ed. (2009) Handbook of Medical Image Processing and Analysis, 2nd Ed (2008) Medical Image Analysis, 2nd Ed (2011)