一、課程說明(Course Desc<x>ription) 
<br>
<br>This course describes with the design and development process of imaging 
<br>instruments as biomedical devices. The goals are: 1) to provide a complete 
<br>overview of the medical device life cycle; 2) to revise imaging principals for 
<br>each main Medical imaging modalities (CT, MRI, ultrasound, optical methods); 3) 
<br>to understand the role phantoms play in system characterization and image 
<br>quality 
<br>analysis, i.e. spatial resolution, contrast, FOV, homogeneity, temporal 
<br>resolution etc; 4) software analysis for each of these characteristics would be 
<br>discussed, and the various assessment metrics considered.
<br>This course will be taught in English
<br>
<br>二、教學方式(Teaching Method) 
<br>
<br>Alongside traditional lectures, there will be a substantial portion of the 
<br>course 
<br>dedicated to dialog. This shall be achieved by posing open questions to 
<br>students, 
<br>and encouraging discussions amongst the class. 
<br>References:
<br>- “Biomedical devices: design, prototyping, and manufacturing” &#214;zel, Tugrul et 
<br>al. John Wiley & Sons, 2016.
<br>- “The phantoms of medical and health physics, Devices for Research and 
<br>Development” DeWerd, Larry Edited by Michael Kissick. Berlin: Springer, 2014.
<br>- “Advanced biomedical image analysis” Haidekker, Mark. John Wiley & Sons, 2010.
<br>- Hariri, Ali, Jorge Palma-Chavez, Keith A. Wear, T. Joshua Pfefer, Jesse V. 
<br>Jokerst, and William C. Vogt. "Polyacrylamide hydrogel phantoms for performance 
<br>evaluation of multispectral photoacoustic imaging systems." Photoacoustics 22 
<br>(2021): 100245.
<br>
<br>三、教學進度(Syllabus) 
<br>
<br>Week 1: Imaging instruments as Medical Devices
<br>Week 2: Medical Device Design Process overview
<br>Week 3: Verification, Validation, and the V model
<br>Week 4: GMP and QMS
<br>Week 5: Phantoms as QA tools
<br>Week 6: Imaging Principals - a review and role of phantoms
<br>Week 7: Project presentation (Part 1)
<br>Week 8: Midterm
<br>Week 9: Tissue mimicking material
<br>Week 10: Dosimeters, Computational Phantoms
<br>Week 11: Image analysis - Visualization and quantification metrics I
<br>Week 12: Image analysis - Visualization and quantification metrics II
<br>Week 13: Users perspective - Ergonomics and other considerations
<br>Week 14: Imaging Phantoms: Applications
<br>Week 15: Project presentation (Part 2)
<br>Week 16: Finals
<br>
<br>四、成績考核(Evaluation)
<br>
<br>40% Class attendance and participation
<br>10% Project presentation
<br>50% Midterm and Finals
<br>
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<br>生成式人工智慧倫理聲明 「有條件開放，請註明如何使用生成式AI於課程產出」
<br>
<br>基於透明與負責任的原則，本課程鼓勵學生利用AI進行協作或互學，以提升本門課產出品質。根據
<br>本校公布之「大學教育場域AI協作、共學與素養培養指引」，本門課程採取有條件開放，以下說明
<br>如何使用生成式AI於課程產出
<br>
<br>學生須於課堂作業或報告中的「標題頁註腳」或「引用文獻後」簡要說明如何使用生成式AI進行議
<br>題發想、文句潤飾或結構參考等使用方式。若經查核使用卻無在作業或報告中標明，教師、學校或相
<br>關單位有權重新針對作業或報告重新評分或不予計分。
<br>本門課授課教材或學習資料若有引用自生成式AI，教師也將在投影片或口頭標注。
<br>修讀本課程之學生於選課時視為同意以上倫理聲明