Lecture by Prof. Dr. Nassir Navab
Type: Lecture Module IN2022
Programs: Informatics (Bachelor, Master), Informatics (Diploma: Praktische Informatik, Vertiefungsfach), Information Systems (Bachelor), Computational Science and Engineering (Master), TUM-BWL (Technikfach)
SWS: 2+2
ECTS: 5 Credits
Course Language: English
Further Information:
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This lecture teaches students to transfer their knowledge from the field of medical imaging and computer assisted interventions to practical algorithms. During the classes, the students get exposed to particular problems from segmentation, registration, navigation, tracking, and medical augmented reality and are then guided when implementing those algorithms themselves using MATLAB during the exercises.
The exercises take place in a lab room with MATLAB workstations.
Supervisor | Video Topic | Students |
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Diana Mateus | PCA (Taken) | Ralf Gutjahr Nikoleta Mouriki Siri Vea Gabriel Castrillon Juan Osorio |
ICP (Taken) | Sabahattin Giritli Kevin Merckx Ole Tommy Vorren Marat Faizov Roberto Camacho Barranco | |
Mehmet Yigitsoy | Mutual Information (Taken) | Jun Shen Yixiang Gong Zhengyu Shan Burcu Altinkaya Andrew Kravtsiv |
Similarity Metrics in Registration (Taken) | Olga Khrutska Lisa Bast Patrick Follmann | |
Maximilian Baust | Basic Level Sets | |
Pascal Fallavollita | Tracking Solutions in Medicine (Taken) | Stavroula Timioteraki Cemre Senesen Stefan Winzeck Eduardo Coello Faisal Ibne Mozher |
Optical vs. Video See Through HMD (Taken) | Priya Sarvachakan Sai Gokul Hariharan Nitin Deshpande | |
Patrick Wucherer & Philipp Stefan | Ray Casting (Taken) | Jihye Jang Laura Flores Tushar Upadhyay Tao Ye Nicola Leucht |
Abouzar Eslami | TRE/FRE Error Evaluations (Taken) | Markus Muller Yunchang Liang Liubov Merina |
False Positive/False Negative/ROC | ||
Amin Katouzian | Gausssian Filtering (Taken) | Mark Muth Volodymyr Chernii Katerina Mikaeva Alex Derntl Ivan Olefir |
Loic Peter | Random Forests (Taken) | Amandeep Kaur Stephanie Wartenburg Julian Völkel Maike Forberg |
Tobias Lasser | SVD and Applications (Taken) | Xiao Huang Xiao Xue Piotr Wojewnik Judith Zimmermann |
Rotations in Medical Imaging | ||
Christoph Hennersperger | Basic US Imaging (Taken) | Melanie Bernhardt Dominik Hagl Christian Buchmayr Franziskus Neuhoff Alexander Barthel |
TeachingForm | |
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Title: | Computer Aided Medical Procedures II |
Professor: | Prof. Dr. Nassir Navab |
Tutors: | Pascal Fallavollita, Peter Maday, Mehmet Yigitsoy |
Type: | Lecture |
Information: | 2+2 SWS, 5 ECTS Credits (Module IN2022) |
Term: | 2013SoSe |
Abstract: | 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 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 are explained in various classes. |