課程名稱 |
基礎生醫影像處理技術 Fundamentals of Biomedical Image Processing |
開課學期 |
105-1 |
授課對象 |
工學院 醫學工程學研究所 |
授課教師 |
陳中明 |
課號 |
Biomed7016 |
課程識別碼 |
548EM0400 |
班次 |
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學分 |
3 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期一2,3,4(9:10~12:10) |
上課地點 |
聯教館211 |
備註 |
本課程以英語授課。 總人數上限:20人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1051Biomed7016_ |
課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
Image processing is a basic tool for biomedical image analysis. Ranging from contrast enhancement to stereotatic surgery, image processing provides various levels of assistance to the biomedical researches and clinical applications. As an introductory course to the biomedical image processing, the aim of this course is to offer the entry-level graduate students the fundamental image processing techniques. The scope of this course will cover the basic transformation techniques, properties of various medical images, image acquisition, processing and rendering. In addition to the regular lectures, the students are required to exploit advanced techniques independently to reinforce learning. It will include one term project and a couple of paper studies.
Actual implementation of the image processing algorithms on the biomedical images will be emphasized in this course. Although it is not a pre-requisite, the students need to use Matlab as the programming tool for the homeworks. There will be about five homeworks for practice. One exam will be given toward the end of the class. The students will be asked to demonstrate the result of the term project by an oral presentation and a written report.
Topics
l Basic Transformation Techniques
l Basics of Medical Images
l Image Acquisition, Sampling, and Quantization
l Image Enhancement
l Image Segmentation
l Image Compression
l Volumetric Image Analysis
l Rendering Techniques
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課程目標 |
Getting acquainted with the fundamental image processing techniques for medical images |
課程要求 |
Calculus, matrix computation, Matlab |
預期每週課後學習時數 |
|
Office Hours |
另約時間 |
指定閱讀 |
無 |
參考書目 |
l Digital Image Processing, 3rd Ed., R. C. Gonzalez & R. E. Woods
l Fundamentals of Digital Image Processing, A. J. Jain
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評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Homeworks |
30% |
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2. |
Final Exam |
30% |
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3. |
Term Project |
40% |
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週次 |
日期 |
單元主題 |
第1週 |
9/12 |
Introduction(核心能力:2,3,4) |
第2週 |
9/19 |
Basic Transformation Techniques(核心能力:2,3,4) |
第3週 |
9/26 |
Basics of Medical Images(核心能力:2,3,4) |
第4週 |
10/03 |
Basics of Medical Images(核心能力:2,3,4) |
第5週 |
10/10 |
國慶日 |
第6週 |
10/17 |
Term project proposal 報告(核心能力:2,3)
Basic Transformation Techniques(核心能力:2,3,4) |
第7週 |
10/24 |
停課一次 |
第8週 |
10/31 |
Image Enhancement(核心能力:2,3,4) |
第9週 |
11/07 |
Image Enhancement(核心能力:2,3,4)
Homework 1,due Date: in class, Dec. 5, 2016 |
第10週 |
11/14 |
Filtering in the Frequency Domain(核心能力:2,3,4) |
第11週 |
11/21 |
Filtering in the Frequency Domain(核心能力:2,3,4) |
第12週 |
11/28 |
Image Restoration (核心能力:2,3,4)
Parameter Estimation:
Maximum Likelihood Estimation |
第13週 |
12/05 |
Image Restoration (核心能力:2,3,4) |
第14週 |
12/12 |
Image Restoration (核心能力:2,3,4) |
第15週 |
12/19 |
morphology-gonzalez-woods_ming (核心能力:2,3,4) |
第16週 |
12/26 |
morphology-gonzalez-woods_ming (核心能力:2,3,4) |
第17週 |
1/02 |
國定假日停課一次 |
第18週 |
1/09 |
Image Segmentation
(核心能力:2,3,4) |
第20週 |
1/16 |
Term project oral presentation (核心能力:2,3) |
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