Registration / Visualization, Medical Imaging, Machine Learning for Medical Applications, Microscopic Image Analysis
To register modalities with complex intensity relationships, we leverage machine learning algorithm to cast it into a mono modal registration problem. This is done by extracting tissue specific features for propagating anatomical/structural knowledge from one modalitiy to an other through an online learnt propagation model. The registration and propagation steps are iteratively performed and refined. For proof-of-concept, we employ it for registering (1) Immunofluorescence to Histology images and (2) Intravascular Ultrasound to Histology Images.
Visit our lab at Garching.
Visit our lab at Klinikum rechts der Isar.
internal project page
Please contact Amin Katouzian
, Tingying Peng
, Sailesh Conjeti
, for available student projects within this research project.