TeachingWs16CAMPLecture

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. Maximilian Baust and Dr. Ulrich Eck

Time & Location

In general, lectures and exercises take place every
  • Tuesday from 2:15pm - 3:45pm in MI HS2 and every
  • Thursday from 2:15pm - 3:45pm in MI HS2.
Please refer to the schedule below for indiviual 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 and an end-term exam:
  • mid-term exam: Thursday, December 15th 2016, 6:00pm - 7:30pm, tba
  • end-term exam: Wednesday, February 8th 2017, 6:00pm - 7:30pm, MW 0001
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

In contrast to previous years, 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, 18/10/16 no lecture - - -  
Thu, 20/10/16 2:15pm - 3:45pm MI HS2 Lecture: Introduction to Python for Scientific Computing Dr. Ulrich Eck, Dr. Maximilian Baust  slides, [1]
Tue, 25/10/16 2:15pm - 3:45pm MI HS2 Lecture: Introduction & A brief History of Radiology Prof. Nassir Navab  slides
Thu, 27/10/16 2:15pm - 3:45pm MI HS2 Exercise: 2D Medical Image Handling and Display Dr. Ulrich Eck, Dr. Maximilian Baust  exercise00.zip,  exercise01.zip  exercise00-solution.zip,  exercise01-solution.zip
Tue, 01/11/16 no lecture - - -  
Thu, 03/11/16 2:15pm - 3:45pm MI HS2 Lecture: CT Reconstruction 1 Dr. Wolfgang Wein  slides
Tue, 08/11/16 2:15pm - 3:45pm MI HS2 Lecture: CT Reconstruction 2 Dr. Wolfgang Wein  slides
Thu, 10/11/16 2:15pm - 3:45pm MI HS2 Exercise: DICOM Data Handling and CT Basics Dr. Maximilian Baust  exercise02.zip,  data,  exercise02-solution.zip
Tue, 15/11/16 2:15pm - 3:45pm MI HS2 Lecture: Basic Image Segmentation Kristians Diaz  slides
Thu, 17/11/16 2:15pm - 3:45pm MI HS2 Exercise: Thresholding, Segmentation, Visualization Kristians Diaz  exercise05.zip,  exercise05-solution.zip
Tue, 22/11/16 2:15pm - 3:45pm MI HS2 Lecture: Image Filtering 1 Dr. Tingying Peng  slides
Thu, 24/11/16 2:15pm - 3:45pm MI HS2 Exercise: Basic Image Filtering Dr. Tingying Peng  exercise06.zip  exercise06-solution.zip
Tue, 29/11/16 2:15pm - 3:45pm MI HS2 Lecture: Image Filtering 2 Sailesh Conjeti  slides
Thu, 01/12/16 2:15pm - 3:45pm MI HS2 Exercise: Combine Filtering and Segmentation Sailesh Conjeti  exercise07.zip
Tue, 06/12/16 2:15pm - 3:45pm MI HS2 Lecture: Point-Based Registration Prof. Randy Ellis  slides  notes  appendix
Thu, 08/12/16 3:00pm - 4:30pm Narvis Lab Narvis Lab Visit Dr. Ulrich Eck  
Tue, 13/12/16 2:15pm - 3:45pm MI HS2 Exercises: Feature-Based Registration Oliver Zettinig  exercise08.zip,  exercise08-solution.zip
Thu, 15/12/16 6:00pm - 7:30pm tba Mid-Term Exam Dr. Maximilian Baust, Dr. Ulrich Eck  
Tue, 20/12/16 2:15pm - 3:45pm MI HS2 Lecture: MRI 1 Dr. Stephan Nekolla  slides
Thu, 22/12/16 2:15pm - 3:45pm MI HS2 Lecture: MRI 2 Dr. Stephan Nekolla  slides
Tue, 10/01/17 2:15pm - 3:45pm MI HS2 Lecture: 2D/3D Image-based Registration Prof. Franjo Pernus  slides
Thu, 12/01/17 2:15pm - 3:45pm MI HS2 Exercises: 2D/3D Image-based Registration Dr. Maximilian Baust  
Tue, 17/01/17 2:15pm - 3:45pm MI HS2 Lecture: Multi-modal Rigid Registration Prof. Nassir Navab, Salvatore Virga  slides
Thu, 19/01/17 2:15pm - 3:45pm MI HS2 Exercise: Multi-modal Rigid Registration Salvatore Virga  exercise11.zip,  exercise11-solution.zip
Tue, 24/01/17 2:15pm - 3:45pm MI HS2 Lecture & Exercise: Diffusion Filtering Dr. Maximilian Baust  slides  exercise12.zip  exercise12-solution.zip
Thu, 26/01/17 2:15pm - 3:45pm MI HS2 Recap: CT Reconstruction & DRR Generation Dr. Maximilian Baust  slides  exercise09.zip
Tue, 31/01/17 2:15pm - 3:45pm MI HS2 Lecture: Frequency-based Filtering Shadi Albarqouni  slides
Thu, 02/02/17 2:15pm - 3:45pm MI HS2 Exercise: Frequency-based Filtering Shadi Albarqouni  exercise13.zip  exercise13-solution.zip
Tue, 07/02/17 2:15pm - 3:45pm MI HS2 Questions Dr. Maximilian Baust, Dr. Ulrich Eck  
Wed, 08/02/17 6:00pm - 7:30pm MW 0001 End-term Exam Dr. Maximilian Baust, Dr. Ulrich Eck  

Literature

[1] Numpy for Matlab users

TeachingForm
Title: Computer Aided Medical Procedures I
Professor: Prof. Nassir Navab, Dr. Maximilian Baust, Ulrich Eck
Tutors:  
Type: Lecture
Information: IN2021, 2SWS lecture, 2SWS exercise (6 ECTS)
Term: 2016WiSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.52 - 02 Feb 2017 - 12:14 - ShadiAlbarqouni

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