1 / 13

Advancements in Medical Image Computing: From Pairs to Triplets

This lecture series provides insights into medical image computing, focusing on the evolution from physician-physicist pairs to interdisciplinary physician-physicist-Computer Scientist triplets. Topics include Matlab introduction, filtering operations, segmentation, transformations, calibration, advanced registration, visualization, and navigation. The course aims to equip students with the ability to implement solutions for computer-aided medical procedures. Weekly organization includes problem introductions, guided implementations, supervised group work, and evaluation. Additional resources and information can be found at http://campar.in.tum.de/.

galvin-clarke
Download Presentation

Advancements in Medical Image Computing: From Pairs to Triplets

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Computer Aided Medical Procedures II Lecture with excercises 2+2 SWS / 5 ECTS

  2. From Inseparable pairs to Inseparable Triplets • After development of PET, CT and MR the “inseparable pairs” of Physician-Physicist were formed in almost all hospitals between 1970-1990! • Multitude of new systems, tools and large sets of heterogeneous data requires “inseparable triplets” of physicians, physicists, and Computer Scientist in order to provide SOLUTIONS!

  3. Intended Audience • Desired prerequisites: • Interest and basic knowledge in image processing (not necessarily acquired through CAMP lecture) • Interest in algorithmic/implementation aspects • Ability to work in small teams * Knowledge of Matlab is not required (but could be beneficial) • Benefits • Deep insight in medical image computing • Ability to implement solutions for computer aided medical procedures

  4. Topics • Introduction to Matlab (~ 1 week) • Filtering Operations (~ 2 weeks) • Segmentation (~ 2 weeks) • Transformations, Calibration, and Point-Based Registration (~ 3 weeks) • Advanced Registration (~ 2 weeks) • Visualization and Navigation (~ 1 week) • Conclusion and Exam (~ 1 week)

  5. Topics :: Segmentation Movies from J.A. Sethian (UC Berkeley), http://math.berkeley.edu/~sethian/

  6. Topics :: Segmentation Movie from Bernhard Geiger (Siemens Corporate Research)

  7. Topics :: Segmentation

  8. Topics :: Registration Screenshots by CAMP

  9. Screenshots by CAMP

  10. Topics :: Tracking/Visualization/Navigation

  11. Topics :: Tracking/Visualization/Navigation

  12. Weekly Organization • Problem introduction • Guided implementation • Matlab-equipped lab • Defined implementation goals • Supervised implementation in groups of 2 students • Evaluation

  13. Further Information • http://campar.in.tum.de/ • Teaching • Summer Term 2007 • Lectures • Computer Aided Medical Procedures II

More Related