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:
  1. Medical imaging modalities.
  2. Medical Image Visualization.
  3. Segmentation.
  4. Registration.
  5. Localization Systems.
  6. Robotics.
  7. 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

  1. introduction.pptx, and technical report reviewing image-guided interventions circa 2006.
  2. imaging.pptx, and Kaczmarz's algorithm.
  3. visualization.pptx, and the original marching cubes manuscript, and a manuscript describing an algorithm that deals with topological inconsistencies in the original algorithm.
  4. segmenation.pptx, and handout on edge detection.
  5. segmenation-II.pptx.
  6. registration.pptx.
  7. registration-II.pptx, and a handout on characteristics of symmetric matrices.
  8. tracking.pptx.
  9. robotics.pptx.
  10. Bringing it all together, download a no cost toy image-guided navigation system for windows platform, and a sample exam.

Exercises

  1. Ethics, one and only essay-like exercise.
  2. Cone-Beam CT reconstruction, data sets will be given in class (~4Gb).
  3. Visualization, data sets are available here. A skeleton GUI in C++ is available here. It is written using the FLTK toolkit.
  4. Paired-point rigid registration, both iterative and analytic methods.