Medical Image Processing for Interventional Applications Interventional imaging is a highly topical subject in
medical imaging in
which real-time applications and automated image analysis
requirements
demand advanced imaging algorithms. Nontrivial image
features have to be
extracted for further processing and often the image
impression can be
improved to a significant extent.
Extending the vhb online course "Medical Image Processing
for Diagnostic
Applications" (MIPDA), the mathematical and technical
tools for
segmentation, time-dependent reconstruction, differential
imaging and
many other methods are prepared and presented in a
profound, flexible
and easy-to-learn fashion in the new format of an online
course.
E-learning has developed into an important tool in adult
education. This
project includes the creation of high class digital
learning material
that prepares international students to start their own
research in
medical image processing.
Including topics such as feature detection, image
enhancement, deep
learning, segmentation, and non-rigid registration, the
student will
learn about theory, train mathematical concepts, and
implement relevant
algorithms. The course contents are always motivated by
their clinical
applications.
Among other things, the course features lecture videos
and online
testing of exercise submissions. In the final stage, this
course will be
added to the vhb portfolio as an ECTS credited course. | Project manager: Prof. Dr.-Ing. habil. Andreas Maier
Project participants: Dipl.-Math. Frank Schebesch
Keywords: medical image processing; e-learning; image enhancement; segmentation; medical image reconstruction; non-rigid registration; deep learning
Duration: 1.1.2018 - 31.12.2018
Sponsored by: Virtuelle Hochschule Bayern (vhb)
Contact: Schebesch, Frank Phone +49 9131 85 28982, Fax +49 9131 85 27270, E-Mail: frank.schebesch@fau.de
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