TeachingWs17CAMPLecture

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

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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

* Mid-Term Exam December 7th: Start Time is 18:30, Duration 60 Minutes (TUM Online might state 18-20h, which is incorrect)

* Please Note that the start-time for the lectures 21.12., 09.01., and 11.01. are scheduled at 2pm (15 minutes earlier - please be there in time)

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 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  slides
Tue, 21/11/17 2:15pm - 3:45pm MI HS2 Exercise: Basic Image Filtering Abhijit Guha Roy  exercise06.zip,
 exercise06-solution.zip
Thu, 23/11/17 2:15pm - 3:45pm MI HS2 Lecture: Image Filtering 2 Dr. Guillaume Zahnd  slides  
Tue, 28/11/17 2:15pm - 3:45pm MI HS2 Exercise: Combine Filtering and Segmentation Dr. Guillaume Zahnd  exercise07.zip
 exercise07solution.zip
 
Thu, 30/11/17 2:15pm - 3:45pm MI HS2 Lecture: Image Transformations Dr. Ulrich Eck  slides  
Tue, 05/12/17 2:15pm - 3:45pm MI HS2 Exercise: Image Transformations Dr. Ulrich Eck  exercise08.zip
 exercise08-solution.zip
 
Thu, 07/12/17 6:30pm - 7:30pm Interims Hoersaal 1 (5620.01.101) Mid-Term Exam (60 minutes) Dr. Ulrich Eck    
Tue, 12/12/17 2:15pm - 3:45pm MI HS2 Lecture: MRI 1 Dr. Stephan Nekolla  slides  
Thu, 14/12/17 2:15pm - 3:45pm MI HS2 Lecture: MRI 2 Dr. Stephan Nekolla  slides  
Tue, 19/12/17 2:15pm - 3:45pm MI HS2 Lecture: 3D/2D registration methods for image-guided medical interventions Prof. Franjo Pernus  slides  
Thu, 21/12/17 2:00pm - 3:30pm MI HS2 Exercises: 3D/2D registration methods for image-guided medical interventions Dr. Stefanie Demirci  exercise10.zip
 exercise10-solution.zip
 
Tue, 09/01/18 2:00pm - 3:30pm MI HS2 Lecture: Rigid Registration Dr. Stefanie Demirci  slides
 material
 
Thu, 11/01/18 2:00pm - 3:30pm MI HS2 Exercise: Rigid Registration Dr. Stefanie Demirci  exercise11.zip
 exercise11-solution.zip
 
Tue, 16/01/18 2:15pm - 3:45pm MI HS2 Lecture: Rigid Image Registration Prof. Nassir Navab  slides  
Thu, 18/01/18 2:15pm - 3:45pm MI HS2 Exercise: Rigid Image Registration Dr. Ulrich Eck  exercise12.zip
 exercise12-solution.zip
 
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: Frequency-based Filtering Dr. Shadi Albarqouni  slides  
Tue, 30/01/18 2:15pm - 3:45pm MI HS2 Exercise: Frequency-based Filtering Dr. Shadi Albarqouni  exercise13.zip
 exercise13-solution.zip
 
Tue, 01/02/18 2:15pm - 3:45pm MI HS2 Lecture: Motion Estimation/ Contour Tracking Dr. Guillaume Zahnd  slides  
Tue, 06/02/18 2:15pm - 3:45pm MI HS2 Exercise: Motion Estimation/ Contour Tracking Dr. Guillaume Zahnd  exercise14.zip
 exercise14solution.zip
 
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    
Fri, 2/3/18 12:30pm - 14:00pm TUM, Office 03.13.044 Exam Inspection Dr. Ulrich Eck    
Tue, 3/04/18 10:30am - 12:00pm Interims Hörsaal 2 (5620.01.102) Repeat Exam Dr. Ulrich Eck    

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: 2017WiSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.68 - 15 Oct 2018 - 08:43 - NassirNavab

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