Special Topics in BME (ECE 8485): Elements of Image-Guided Interventions
Course Description
This course will introduce the students to the technical aspects of image-guided interventions. The topics covered
include:
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Medical imaging modalities.
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Medical Image Visualization.
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Segmentation.
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Registration.
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Localization Systems.
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Robotics.
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System integration and design of navigation systems.
Each of these topics merits a course of its own. Consequentially, the topics will be covered at a high level with some subjects explored in more detail.
Students will learn the fundamental algorithms which will allow them to explore the subjects in more detail providing a solid understanding of the
challenges and the current state of the art in each domain.
Course Logistics
Instructor: Dr. Ziv Yaniv
Prerequisites: Sound mathematical knowledge (linear-algebra, calculus, algorithm design and analysis), proficient with MATLAB or C++. Prior courses that will give students an advantage
include robotics, computer graphics, image processing, and medical image analysis.
Grading System: Homework 4-5 exercises (40%), Final Project (40%), Final Exam (20%).
Modification to exercise due dates: All exercises can be submitted until April 19, 2012. A deduction of 10 points will be applied on a weekly basis, starting
after the original due date of the exercise (1day to 1week late: -10, 1week+1day late to 2weeks: -20, ...).
Time and Place: Thursday 6:10pm - 8:40pm, K 2020 room 9
Textbook: Applied Medical Image Processing: A Basic Course, W. Birkfellner, Taylor & Francis 2010. ISBN: 978-1439824443
Presentations and Handouts
- introduction.pptx, and technical report reviewing image-guided interventions circa 2006.
- imaging.pptx, and Kaczmarz's algorithm.
- visualization.pptx, and the original marching cubes manuscript, and
a manuscript describing an
algorithm that deals with topological inconsistencies in the original algorithm.
- segmenation.pptx, and handout on edge detection.
- segmenation-II.pptx.
- registration.pptx.
- registration-II.pptx, and a handout on characteristics of symmetric matrices.
- tracking.pptx.
- robotics.pptx.
- Bringing it all together, download a no cost toy image-guided navigation system for windows platform, and a sample exam.
Exercises
- Ethics, one and only essay-like exercise.
- Cone-Beam CT reconstruction, data sets will be given in class (~4Gb).
- Visualization, data sets are available here.
A skeleton GUI in C++ is available here. It is written using the
FLTK toolkit.
- Paired-point rigid registration, both iterative and analytic methods.