Basic Information
The Main Medical Imaging Modalities (ct, X-ray, Mri, Ultrasound, Pet). Physial Principles in The Acquisition Process, The Advantages And Drawbacks of The Different Methods, The Various Expected Noise Degradations and Artifacts. Basic Principles of Tomography, Radon Transform, Fbp Method, Iterative Reconstruction. Medical Image Processing# Denoising, Segmentation, Registration, Organ Identification and Current Approaches to Computer Aided Diagnostics. Learning Outcome# at The End of The Courfse The Student Will Know The Common Medical Imaging Modalities and Their Basic Principals. Understand The Major Problems and Needs in Processing ,medical Imaging Data. Be Introduced to Some of Thed Well-established Algorithms To Solve These Problems.
Faculty: Electrical and Computer Engineering
|Undergraduate Studies
|Graduate Studies
Pre-required courses
46200 - Image Processing and Analysis
Related Books
- Handbook of medical image processing and analysis - Bankman, Isaac.
- Image processing, analysis, and machine vision - Sonka, Milan
- Image processing, analysis, and machine vision - Sonka, Milan
- Image processing, analysis, and machine vision - Sonka, Milan
- Introduction to medical imaging : physics, engineering and clinical applications - Smith, Nadine Barrie
Semestrial Information
Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Guy Gilboa
Notes
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מתרגל אחראי: בר וייס
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בודקת תרגילים: שירה ליפשיץ
Exams
Session A: 26-08-2024 Session B: 24-09-2024Registration Groups
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Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Guy Gilboa
Notes
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מתרגל אחראי: בר וייס
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בודקת תרגילים: סימה בוכבינדר
Registration Groups
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Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Guy Gilboa
Notes
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מתרגל אחראי: חמוד באסל
Exams
Session A: 11-07-2022 09:00 - 12:00- אולמן 100. 101. 102. 103. 104. 105. 202.
- אולמן 305. 309. 311.
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