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Week |
Subject |
Related Preparation |
| 1) |
Wk 1. Introduction to medical imaging technology, systems, and modalities. Brief history; importance; applications; trends; challenges. |
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| 2) |
Wk 2. X-Ray physics; X-Ray generation, attenuation, scattering; dose; Basic principles of CT; reconstruction methods; artifacts; CT hardware |
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| 3) |
Wk 3. Picture archiving and communication system (PACS); Formats: DICOM; Radiology Information Systems (RIS) and Hospital Information Systems (HIS) |
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| 4) |
Wk 4. Basic image processing algorithms; Thresholding; contrast enhancement; SNR characteristics; filtering; histogram modeling |
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| 5) |
Wk 5. Fundamentals of visualization; surface and volume rendering/visualization; animation; interaction |
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| 6) |
Wk 6. Mathematics of MR; spin physics; NMR spectroscopy; imaging principles and hardware; image artifacts |
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| 7) |
Wk 7. Midterm Examination. Discussion and solutions of the questions. |
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| 8) |
Wk 8. Histogram-based methods; Region growing and watersheds; Markov Random Field models; active contours; model-based segmentation |
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| 9) |
Wk 9. Multi-scale segmentation; semi-automated methods; clustering-based methods; classification-based methods; atlas-guided approaches; multi-model segmentation |
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| 10) |
Wk 10. Intensity-based methods; cost functions; optimization techniques |
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| 11) |
Wk 11. Imaging methods; mathematical principles; resolution; noise effect; 3D imaging; positron emission tomography; single photon emission tomography; ultrasound imaging; applications |
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| 12) |
Wk 12. Current technology in medical image search, content-based image retrieval, new trends: ontologies. Applications. |
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| 13) |
Wk 13. Validation, Image Guided Surgery, Image Guided Therapy, Computer Aided Diagnosis/Diagnostic Support Systems |
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| 14) |
Wk 14. Evaluation of Course Projects |
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Program Outcomes |
Level of Contribution |
| 1) |
Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems. |
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| 2) |
Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. |
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| 3) |
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) |
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| 4) |
Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively. |
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| 5) |
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems. |
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| 6) |
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. |
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| 7) |
Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. |
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| 8) |
Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. |
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| 9) |
Awareness of professional and ethical responsibility. |
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| 10) |
Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. |
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| 11) |
Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |
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