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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
23.10.2017Mathias UnberathIntroduction to Opens external link in new windowCAMP
30.10.2017-No colloquium due to bridging day
06.11.2017Jennifer MaierBrief introduction to musculoskeletal models
13.11.2017-No colloquium
20.11.2017Christoph LucknerEstimating source-detector alignment of cone-beam X-ray systems using collimator edge tracking
27.11.2017Stephan Seitz     Optical Flow Estimation and Preprocessing in 4-d Digital Subtraction Angiography
04.12.2017Fatih Cengiz

Introductory talk Master thesis

11.12.2017Christopher SybenFilter learning for parallel-to-fan-beam rebinning
08.12.2018Andreas MaierStatus Update
15.12.2018Andreas Maier

Journal Club:

a) Progressive attenuation fields : Fast 2D-3D image registration without precomputation

b) Fast calculation of digitally reconstructed radiographs using light fields

22.01.2018-No colloquium
29.01.2018-No colloquium due to PhD. Ceremony
05.02.2018Christoph LucknerParallel-shift tomosynthesis for orthopedic applications
12.02.2018Sareh BoraniMaster's thesis intro talk
26.03.2018-Internal CTARM Meeting
09.04.2018Bastian BierX-ray transform invariant landmark detection
16.04.2018Fatih CengizMaster thesis presentation: Multi-Atlas Based Meniscus Segmentation in MR Images

Jennifer Maier

Inertial data estimation from X-rays


Jan-Nico Zäch

Master Thesis Intro Talk "Towards an Optimal Sweep: Learning Task-Based C-arm Source Trajectories from Data"


CT Meeting Participants

Tristan Gottschalk

Poster Presentation CT-Meeting

Master's thesis final talk

04.06.2018Alexander PreuhsAutofocus Journal Club
11.06.2018Internal MeetingGroup Poster and Future Dates
18.06.2018CT Meeting ParticipantsConference Review: CT Meeting
25.06.2018Internal MeetingStatus Update
02.07.2018Katharina AschoffMaster Thesis Intro Talk: Using Anatomical Landmarks to Estimate Motion in CBCT Acquisitions of the Knee
09.07.2018-Discussion of PRS presentations
16.07.2018-No colloquium due to upcoming PRS
23.07.2018Jonas HajekMaster Thesis Final Talk: Online X-ray-like Rendering in Mixed Reality Environments: Integration of Head Mounted Displays into X-ray Guided Intervention

20.08.2018Tristan GottschalkProject Introduction
01.10.2018Jan-Nico ZächMaster Thesis Final Talk: "Towards an optimal Sweep: Learning Task-Based C-arm Source Trajectories from Data"

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We meet in room 01.134-118 at 16:00. 

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 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.