Print
Univis
Search
 
FAU-Logo
Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

Analytic Reconstruction and Consistency

Depending on its acquisition geometry and trajectory, the Computed Tomography (CT) image formation process can be described with a forward model like Radon or X-ray transforms. Analytic reconstruction is concerned with their description and inversion. A common property of these transforms is data redundancy, which is commonly expressed as consistency conditions on projection data. Redundancy allows for the quantification of measurement and model errors. The ARC group exploits this to devise practical algorithms for motion compensation, artifact reduction and 3D reconstruction for medical and industrial applications.

Colloquium Time Table

DateResponsible PersonTitle
7.7.2017Lina FelsnerMotion Estimation of Rotational Angiography using Epipolar Consistency
14.7.2017Yixing HuangJournal Club: Helgason-Ludwig Consistency Conditions
21.7.2017Tobias WürflJournal Club: Consistency Conditions for Cone-beam CT data acquired with a Straight Line Source Trajectory
28.7.2017Andre AichertJournal Club: Opens external link in new windowRadon-Space Registration
4.8.2017Tobias & YixingReview Fully3D

 

Mailing list subscription management page for Opens external link in new windowstudents and Opens external link in new windowguests.

Running Projects

Epipolar Consistency

Epipolar Consistency allows us to measure how well two or more X-ray images agree given their relative geometry. By optimization over motion parameters, we can perform tracking, motion compensation and calibration correction in CT, fluoroscopy and angiography applications.

CONRAD

CONRAD is a software platform for simulation and reconstruction of flat-panel CT images.

Multi-material beam hardening correction in CT

The aim of the project is to effectively reduce beam hardening artifacts in datasets consisting of multiple materials.

Region of interest reconstruction in C-arm CT

3D region of interest imaging reduces the radiation dose to the patients without compromising image quailty.

Robust 2D/3D-Registration for Real-Time Patient Motion Compensation

Towards robust and real-time patient motion compensation for 2D/3D overlay applications