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Image Fusion

In close collaboration with leading clinical and industrial partners, the Image Fusion (IMF) Group develops novel methods for rigid and non-rigid data registration, as well as innovative applications and efficient clinical workflows. Current foci of interest include multi-modal image fusion, image-guided therapy, 2-D/3-D registration and image overlay. The interdisciplinary research provides the basis to develop applications close to medical practice. 

Colloquium Time Table (Friday, 14:00-15:30)

DateResponsible PersonTitle
01.12.2017

Andreas Maier

Xia Zhong

Petra Dorn, MT Final: X-ray-based Tool Center Point Calibration for a Medical Robot

Janani Gayathri Nadar, MT Final: Design and Training of a Classifier for an Automatic, Machine Learning based Coil Detection in a Routine MRI Examination Setting

08.12.2017Tobias GeimerJournal Club: Opens external link in new windowMcClelland et al. (2013) Respiratory Motion Models: A Review
15.12.2017--
22.12.2017-(no collloquium)

 

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Running Projects

Rigid Medical Image Registration

In rigid registration, only rotations and translations are applied for the spatial transform.

Non-Rigid Medical Image Registration

Non-rigid image registration is a natural extension to rigid registration, allowing also deformations.

2D-3D Medical Image Registration

Fusion of pre-operative 3-D volumetric data with intra-operative 2-D images.

Image-Guided Radiation Therapy

Multi-modal respiratory motion modeling and tracking.
Automatic patient setup using 3-D range imaging.

Self-Adapting Image Guidance for Endovascular Aneurysm Repair

Fusion of preoperative images with intraoperative fluoroscopy for endovascular repair of aortic aneurysms.

Finished Projects

Surface Registration

Rigid, non-rigid and multi-modal 3-D surface registration.

Time-of-Flight 3-D Endoscopy

Extending conventional 2-D endoscopic data with additional 3-D surface information.