TeachingWs18CAMPLecture

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Computer Aided Medical Procedures I

Administrative Information

Responsible for Module: Prof. Nassir Navab
Organization: Dr. Ulrich Eck and Dr. Guillaume Zahnd

Time & Location

Tuesdays and Thursday, at 2:00pm - 4:00pm, in MI HS2
Please always refer to the schedule for individual last-moment variations in case of public holidays, academic events, etc.

Narvis Lab Visit

In order to register for the NARVIS lab visit, please send us a registration e-mail using this link. Please do not alter the subject!!!

Overview

Computer science is playing an important, increasing role in medical practices. Medical imaging companies are no more asked by physicians to only produce images of anatomy. Instead, they are asked to design software and hardware systems to provide complex computer-aided solutions for diagnosis, intervention and therapy. There are more and more opportunities for computer science graduates to contribute to the development and deployment of medical solutions. Within the operating rooms, there is an increasing need for the integration and visualization of heterogeneous data acquired by numerous sensors.

This course on computer aided medical procedures (CAMP I) exposes the students to the challenges of building the operating rooms of the future. The main focus of the course is in imaging technologies especially intra-operative imaging as well as the visualization of this data. Techniques like segmentation and registration will be explained in various classes. CAMP I will be continued in the summer semester with the lecture CAMP II which focusses an advanced concepts such as ultrasound imaging, machine learning, etc.

Examination

There will be two examinations, a mid-term exam (Thursday 20/12/2018) and an end-term exam (TBA)

Please refer to the general information regarding the registration process as well as the respective deadlines. Please also note that we have no influence on the registration process which means that we cannot register you for any examination for instance.

Both exams will be written and closed book, i.e. no material is allowed. Apart from the field trips, all lectures and exercises, will be relevant for the exam. The mid-term exam is not mandatory and you will not receive a grade for it. You can only pass or fail. In case you pass, you receive a grade bonus of 0.3 for your end-term exam. However, the bonus is only valid in case you pass the end-term exam. In particular, this means that the bonus will not help you to pass the examination.

Furthermore, please note that there will be a repeat examination as CAMP I is a required module for the Master's program Biomedical Computing (BMC). Please refer to the general information page regarding the respective examination periods and deadlines.

Exercises

All programming exercises will be conducted in python 3. More specifically, we will rely on the ANACONDA distribution. In addition to this, we recommend you to install PyCharm as IDE.

Course Schedule

Date Time Room Type Lecturer Material
Tuesday 16/10/2018 14:00 - 16:00 MI HS2 Lecture - Introduction & Opening
Lecture - Study Design
Dr. Guillaume Zahnd  camp_intro
 study_design
Thursday 18/10/2018 14:00 - 16:00 MI HS2 Lecture & Exercise - Introduction to Python Magda Paschali  exercise
 exercise_solution
Tuesday 23/10/2018 14:00 - 16:00 MI HS2 Lecture - A brief History of Radiology Prof. Nassir Navab  slides
Thursday 25/10/2018 14:00 - 16:00 MI HS2 Lecture - Image transformation Dr. Ulrich Eck  userstudy_ad
 imagetransformations
Tuesday 30/10/2018 14:00 - 16:00 MI HS2 Exercise - Image transformation Alexander Winkler  exercise_image_transformation_01
 exercise_image_transformation_02
 solution_image_transformation_01
 solution_image_transformation_02
Tuesday 6/11/2018 14:00 - 16:00 MI HS2 Lecture - Computed tomography 1/2 Dr. Wolfgang Wein  slides
Thursday 8/11/2018 14:00 - 16:00 MI HS2 Lecture - Computed tomography 1/2 Dr. Wolfgang Wein  slides
Tuesday 13/11/2018 14:00 - 16:00 MI HS2 Lecture - Basic image filtering Dr. Guillaume Zahnd  image_filtering_part_1
Thursday 15/11/2018 14:00 - 16:00 MI HS2 Exercise - Basic image filtering Amal Lahiani  exercise + solution basic filtering
Tuesday 20/11/2018 14:00 - 16:00 MI HS2 Lecture - Advanced image filtering Dr. Guillaume Zahnd  image_filtering_part_2
Thursday 22/11/2018 14:00 - 16:00 MI HS2 Exercise - Advanced image filtering Sai Gokul Hariharan  exercise advanced filtering
 solution advanced filtering
 slides exercise advanced filtering
 
Tuesday 27/11/2018 14:00 - 16:00 MI HS2 Lecture - Morphological image filtering Dr. Guillaume Zahnd  image_filtering_part_3  
Thursday 29/11/2018 14:00-18:00 NARVIS NARVIS Lab Visit Dr. Ulrich Eck    
Tuesday 4/12/2018 14:00 - 16:00 MI HS2 Exercise - Morphological image filtering Hasan Sarhan  exercise morphologic filtering
 solution morphologic filtering
 
Thursday 6/12/2018 14:00 - 16:00 MI HS2 Lecture - Image segmentation 1/2 Dr. Guillaume Zahnd  image_segmentation_part_1  
Tuesday 11/12/2018 14:00 - 16:00 MI HS2 Exercise - Image segmentation 1/2 Fernando Navarro  front propagation exercise & solution  
Thursday 13/12/2018 14:00 - 16:00 MI HS2 Lecture - Image segmentation 2/2 Dr. Guillaume Zahnd  image_segmentation_part_2  
Tuesday 18/12/2018 14:00 - 16:00 MI HS2 Exercise - Image segmentation 2/2 Hendrik Burwinkel    
Thursday 20/12/2018 18:15 - 19:45 MI HS1 Mid-term exam Dr. Ulrich Eck, Dr. Guillaume Zahnd    
Tuesday 8/1/2019 14:00 - 16:00 MI HS2 Lecture - Feature-based registration Prof. Nassir Navab    
Thursday 10/1/2019 14:00 - 16:00 MI HS2 Lecture - Intensity-based image registration Prof. Nassir Navab    
Tuesday 15/1/2019 14:00 - 16:00 MI HS2 Lecture - Magnetic resonance imaging 1/2 Dr. Stephan Nekolla    
Thursday 17/1/2019 14:00 - 16:00 MI HS2 Lecture - Magnetic resonance imaging 2/2 Dr. Stephan Nekolla    
Tuesday 22/1/2019 14:00 - 16:00 MI HS2 Exercise - Feature-based registration Roger Soberanis    
Thursday 24/1/2019 14:00 - 16:00 MI HS2 Exercise - Intensity-based image registration Roger Soberanis    
Tuesday 29/1/2019 14:00 - 16:00 MI HS2 Clinical application (neuro-surgical navigation) 1/2 TBA    
Thursday 31/1/2019 14:00 - 16:00 MI HS2 Clinical application (neuro-surgical navigation) 2/2 TBA    
Tuesday 5/2/2019 14:00 - 16:00 MI HS2 TBA TBA    
Thursday 7/2/2019 14:00 - 16:00 MI HS2 Q&A Dr. Ulrich Eck, Dr. Guillaume Zahnd    
TBA TBA MI HS1 Exam Dr. Ulrich Eck, Dr. Guillaume Zahnd    
TBA TBA TBA Exam inspection Dr. Ulrich Eck, Dr. Guillaume Zahnd    
TBA TBA TBA Repeat exam Dr. Ulrich Eck, Dr. Guillaume Zahnd    

Literature

[1] Numpy for Matlab users


TeachingForm
Title: Computer Aided Medical Procedures I
Professor: Prof. Nassir Navab, Dr. Ulrich Eck, Dr. Guillaume Zahnd
Tutors:  
Type: Lecture
Information: IN2021, 2SWS lecture, 2SWS exercise (6 ECTS)
Term: 2018WiSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.45 - 13 Dec 2018 - 17:39 - GuillaumeZahnd

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