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Computed Tomography: Algebraic Reconstruction and Motion

The main areas of the CTARM group are algebraic reconstruction and motion compensation. An overview of the currently running projects is found right below.

Colloquium Time Table

DateResponsible PersonTitle
10.07.2017Alexander PreuhsOverview on Motion Compensation Methods
17.07.2017Oliver TaubmannFully3D Conference Review
24.07.2017Andreas MaierNo Colloquium due to PRS
31.07.2017Bastian BierMIUA Conference Review
7.08.2017Christopher Syben

MRI vs. CT Reconstruction,

Intro Talk by Tristan Gottschalk: Deep Learning for Motion Compensated 3D Reconstruction

14.08.2017Christoph LucknerTomosynthesis 
21.08.2017Marco Bögel

4D DSA

28.08.2017Stephan Seitz

Computational Fluid Dynamics

04.09.2017Jennifer Maier

Overexposure in C-Arm CT

11.09.2017-

No Colloquium due to Promotion

18.09.2017tbatba
25.09.2017Ahmed AmriFinal Talk: Measurement and Simulation of radiation-induced changes of the Scintillator light output in X-ray flat detectors
02.10.2017-No Colloquium due to bridging day
09.10.2017Alexander Preuhs

Basics of Projective Geometry

16.10.2017Oliver TaubmannHow-To: TV-Regularized Reconstruction with Convex Optimization


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Running Projects

Dynamic Cardiac Chamber Imaging in C-arm Computed Tomography

This project focuses on time-resolved volumetric reconstruction (i.e., 4-D imaging) of cardiac chambers from rotational angiography acquisitions. Two approaches are investigated: Motion-compensated analytic reconstruction as well as spatio-temporally regularized algebraic methods.

Motion Compensation using Surface Information in CBCT

The focus of this project is to use surface information to compensate for motion in C-arm cone-beam CT.

Motion Compensation in CBCT using Musculoskeletal Modeling

The goal of this project is to compensate for motion during C-arm cone-beam CT scans using a muskuloskeletal model based on inertial sensor data.

Motion Compensation for DynaCT Acquisitions

The focus of this project is the reconstruction of brain volumes acquired from patients suffering severe stroke using a C-arm system. Due to long acquisition times, standard reconstructions are corrupted by motion artifacts.

Flow Quantification using 4D Digital Subtraction Angiography

The goal of this project is to improve image quality of 4D DSA and estimate hemodynamic flow parameters from rotational angiography.

Novel applications for twin-robotic X-ray imaging

This project will mainly focus on developing new clinically beneficial applications using a novel ceiling-mounted twin-robotic X-ray system.

CONRAD

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

Finished Projects

GPU based quantitative reconstruction in SPECT/CT

Graphical Processing Units (GPU)s with their tremendous parallelity concept and computational power are being used in this project to develop novel quantitative reconstruction algorithms.

Spatial-temporal Total Variation Regularization (STTVR) for 4D-CT Reconstruction

4D-CT reconstruction based on compressed sensing.

3-D Imaging of coronary vasculature using C-arm CT

The focus of this project is the optimisation of the 3-D reconstruction of coronary vasculature towards a quantitative representation.

3-D Imaging of the heart chambers with C-arm CT

In this project, the focus of the 3-D reconstruction is on the left ventricle (LV). Regarding the long acquisition time of the C-arm system for the acquisition of the projection images (> 5s), the heart motion has to be considered.

Perfusion C-arm CT

Perfusion C-arm CT is a novel technology to measure capillary blood flow (CBF) with slowly rotating C-arm systems.