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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) |
Build up a body of knowledge in mathematics, science and Mechatronics Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. |
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2) |
Identify, formulate, and solve complex Mechatronics Engineering problems; select and apply proper modeling and analysis methods for this purpose. |
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3) |
Design complex Mechatronic systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. |
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4) |
Devise, select, and use modern techniques and tools needed for solving complex problems in Mechatronics Engineering practice; employ information technologies effectively. |
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5) |
Design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Mechatronics Engineering. |
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6) |
Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Mechatronics-related problems. |
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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. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions. |
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8) |
Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. |
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9) |
Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Mechatronics Engineering applications. |
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10) |
Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. |
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11) |
Acquire knowledge about the effects of practices of Mechatronics Engineering on health, environment, security in universal and social scope, and the contemporary problems of Mechatronics engineering; is aware of the legal consequences of Mechatronics engineering solutions. |
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