Administrative InformationResponsible for Module: Prof. Nassir Navab
Organization: Dr. Seong Tae Kim, Dr. Ulrich Eck, and Dr. Thomas Wendler
TimeTuesdays at 2:15pm - 4:00pm in Online Lecture (Please find access information in Moodle) Thursday at 2:00pm - 4:00pm in Online Lecture
AnnouncementIf you have a problem in accessing Moodle, please send an email to Dr. Seong Tae(firstname.lastname@example.org) so that we can help you to enroll in the Moodle.
OverviewComputer 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.
Course ScheduleThis course is managed with TUM Moodle.
ExercisesAll 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.
Literature Numpy for Matlab users