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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
08.06.2018Katharina BreiningerMICCAI Workshop Submission
15.06.2018Tobias GeimerPost-MICCAI Plans for Bilinear Respiratory & Rotational Decoupling
22.06.2018Roman SchaffertJournal Draft
29.06.2018Tobias GeimerJournal Club: Gao et al. (2018)
"Opens external link in new windowPrincipal component reconstruction (PCR) for cine CBCT with motion learning from 2D fluoroscopy"

Siming Bayer

Mohamed Ismael: MT Intro Talk

13.07.2018-no colloquium (PhD Defense Markus Meyer)
20.07.2018-no colloquium (PRS Summer 2018)
27.07.2018Katharina BreiningerNicolaus Arbogast: BT Intro Talk
10.08.2018Siming BayerPhD Update

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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.