TeachingWs17CAMPLecture

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 Nicola Rieke

Time & Location

In general, lectures and exercises take place every
  • Tuesday from 2:15pm - 4:00pm in MI HS2 and every
  • Thursday from 2:15pm - 4:00pm in MI HS2.
Please refer to the schedule below for indiviual variations in case of public holidays, academic events, etc.

News

* Added Preliminary Schedule

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 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
Tue, 17/10/17 no lecture - - -  
Thu, 19/10/17 2:15pm - 3:45pm MI HS2 Lecture: Introduction to Python for Scientific Computing Dr. Ulrich Eck  slides, [1]
Tue, 24/10/17 2:15pm - 3:45pm MI HS2 Lecture: Introduction & A brief History of Radiology Prof. Nassir Navab  slides
Thu, 26/10/17 2:15pm - 3:45pm MI HS2 Exercise: 2D Medical Image Loading (DICOM) and Display Dr. Ulrich Eck  exercise00-solution.zip,
 exercise01-solution.zip,
 exercise02-solution.zip,
 data-exercise02
Thu, 02/11/17 2:15pm - 3:45pm MI HS2 Lecture: CT Reconstruction 1 Dr. Wolfgang Wein  slides
Tue, 07/11/17 2:15pm - 3:45pm MI HS2 Lecture: CT Reconstruction 2 Dr. Wolfgang Wein  slides
Thu, 09/11/17 2:15pm - 3:45pm MI HS2 Lecture: Basic Image Segmentation Nicola Rieke  slides  
Tue, 14/11/17 2:15pm - 3:45pm MI HS2 Exercise: Basic Image Segmentation Nicola Rieke  exercise03.zip,
 exercise03-solution.zip
 
Thu, 16/11/17 2:15pm - 3:45pm MI HS2 Lecture: Image Filtering 1 Abhijit Guha Roy    
Tue, 21/11/17 2:15pm - 3:45pm MI HS2 Exercise: Basic Image Filtering Abhijit Guha Roy    
Thu, 23/11/17 2:15pm - 3:45pm MI HS2 Lecture: Image Filtering 2 Dr. Guillaume Zahnd    
Tue, 28/11/17 2:15pm - 3:45pm MI HS2 Exercise: Combine Filtering and Segmentation Dr. Guillaume Zahnd    
Thu, 30/11/17 2:15pm - 3:45pm MI HS2 Lecture: Image Transformations Dr. Ulrich Eck    
Tue, 05/12/17 2:15pm - 3:45pm MI HS2 Exercise: Image Transformations Dr. Ulrich Eck    
Thu, 07/12/17 6:30pm - 8:00pm Interims Hoersaal 1 (5620.01.101) Mid-Term Exam Dr. Ulrich Eck    
Tue, 12/12/17 2:15pm - 3:45pm MI HS2 Lecture: MRI 1 Dr. Stephan Nekolla    
Thu, 14/12/17 2:15pm - 3:45pm MI HS2 Lecture: MRI 2 Dr. Stephan Nekolla    
Tue, 19/12/17 2:15pm - 3:45pm MI HS2 Lecture: 3D/2D registration methods for image-guided medical interventions Prof. Franjo Pernus    
Thu, 21/12/17 2:15pm - 3:45pm MI HS2 Exercises: 3D/2D registration methods for image-guided medical interventions Dr. Stefanie Demirci    
Tue, 09/01/18 2:15pm - 3:45pm MI HS2 Lecture: Rigid Image Registration Dr. Stefanie Demirci    
Thu, 11/01/18 2:15pm - 3:45pm MI HS2 Exercise: Rigid Image Registration Dr. Stefanie Demirci    
Tue, 16/01/18 2:15pm - 3:45pm MI HS2 Lecture: Feature-Based Registration      
Thu, 18/01/18 2:15pm - 3:45pm MI HS2 Exercises: Feature-Based Registration      
Tue, 23/01/18 2:15pm - 3:45pm NARVIS Lab Innenstadt Lab Visit NARVIS Dr. Ulrich Eck    
Thu, 25/01/18 2:15pm - 3:45pm MI HS2 Lecture: Motion Estimation/ Contour Tracking Dr. Guillaume Zahnd    
Tue, 30/01/18 2:15pm - 3:45pm MI HS2 Exercise: Motion Estimation/ Contour Tracking Dr. Guillaume Zahnd    
Tue, 01/02/18 2:15pm - 3:45pm MI HS2 Lecture: Frequency-based Filtering Shadi Albarqouni    
Tue, 06/02/18 2:15pm - 3:45pm MI HS2 Exercise: Frequency-based Filtering Shadi Albarqouni    
Tue, 08/02/18 2:15pm - 3:45pm MI HS2 Questions Dr. Ulrich Eck    
Tue, 13/02/18 1:30pm - 3:00pm MI HS1 End-term Exam Dr. Ulrich Eck    

Literature

[1] Numpy for Matlab users

TeachingForm
Title: Computer Aided Medical Procedures I
Professor: Prof. Nassir Navab, Dr. Ulrich Eck; Nicola Rieke
Tutors:  
Type: Lecture
Information: IN2021, 2SWS lecture, 2SWS exercise (6 ECTS)
Term: 2017WiSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.27 - 14 Nov 2017 - 15:12 - NicolaRieke

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