課程名稱 |
醫學影像特論 Special Topics on Medical Imaging |
開課學期 |
105-2 |
授課對象 |
學程 神經生物與認知科學學程 |
授課教師 |
陳志宏 |
課號 |
EE5072 |
課程識別碼 |
921 U3090 |
班次 |
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學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期三7,8,9(14:20~17:20) |
上課地點 |
博理214 |
備註 |
總人數上限:15人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1052EE5072_ |
課程簡介影片 |
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核心能力關聯 |
本課程尚未建立核心能力關連 |
課程大綱
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課程概述 |
MRI has been widely used in brain studies. Numerous technologies, including functional MRI (fMRI), Diffusion imaging(DTI) have been applied to study cognitive processes in vivo. However, various pitfalls in MR experiments may result in misinterpretations and associated conclusions. The purpose of this course is to focus on fundamentals as well as experimental details so students can achieve accurate fMRI, diffusion imaging and the related electroencephalography (EEG) data for their hypothesis validation.
Students will learn (1) what the practical concerns are on EEG, fMRI and DTI and (2) how to perform post-processing to present these results. This course will place more emphasis on the realistic aspects in performing EEG and MRI experiments, although some theoretical aspects of these neuroimaging techniques will be covered also.
For optimal learning effects, fundamental MRI will be required as the prerequisite for this course. Students without MRI backgrounds need to discuss with instructors before taking this course.
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課程目標 |
MRI has been widely used in brain studies. Numerous technologies, including functional MRI (fMRI), Diffusion imaging(DTI) have been applied to study cognitive processes in vivo. However, various pitfalls in MR experiments may result in misinterpretations and associated conclusions. The purpose of this course is to focus on fundamentals as well as experimental details so students can achieve accurate fMRI, diffusion imaging and the related electroencephalography (EEG) data for their hypothesis validation.
Students will learn (1) what the practical concerns are on EEG, fMRI and DTI and (2) how to perform post-processing to present these results. This course will place more emphasis on the realistic aspects in performing EEG and MRI experiments, although some theoretical aspects of these neuroimaging techniques will be covered also.
For optimal learning effects, fundamental MRI will be required as the prerequisite for this course. Students without MRI backgrounds need to discuss with instructors before taking this course.
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課程要求 |
Prerequisite:
MRI Fundamentals
Grading for Database Systems:
Home work (30%)
Midterm (20%)
Final exam (20%)
Final project (30%)
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
待補 |
參考書目 |
Textbook: There is not a single up-to-date quantitative book containing most of the materials in this course, but several reference books are recommended in appendix I. |
評量方式 (僅供參考) |
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週次 |
日期 |
單元主題 |
第1週 |
2/22 |
General Introduction |
第2週 |
3/01 |
NMR basics—signal generation #1 |
第3週 |
3/08 |
Exp#1 : MRI physics 1 |
第4週 |
3/15 |
NMR basics—signal generation #2 |
第5週 |
3/22 |
Exp#2 : MRI physics 2 |
第6週 |
3/29 |
NMR basics—signal generation #3 |
第7週 |
4/05 |
Exp#3 : MRI physics 3 |
第8週 |
4/12 |
Experiment Discussion |
第9週 |
4/19 |
Midterm exam |
第10週 |
4/26 |
MR imaging , Gradient system, k space |
第11週 |
5/03 |
Exp#4 : MRI imaging |
第12週 |
5/10 |
Sequence basics |
第13週 |
5/17 |
Exp#5 : MRI sequencing |
第14週 |
5/24 |
MRI hardware-RF coils |
第15週 |
5/31 |
Review (discussion, Q&A) |
第16週 |
6/07 |
Exp#6 : RF Coils |
第17週 |
6/14 |
Final Project presentation |
第18週 |
6/21 |
Take Home Final Exam |
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