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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
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"
29.10.2018Sare BorhaniMaster Thesis Final Talk: "Autofocus for Motion Compensation in Cone-Beam Computed Tomography"
19.11.2018Alexander PreuhsJournal Club: Opens external link in new windowMAP for PET, Opens external link in new windowGANs for CS
26.11.2018Bastian Bier

Journal Club: Opens external link in new windowLearned Primal-Dual Reconstruction (will be in room 0.68 (Martensstr. 5/7, Werkstoffwissenschaften))

03.12.2018Katharina AschoffMT Final Talk: Using Anatomical Landmarks to Estimate Motion in CBCT Acquisitions of the Knee (will be in room 0.68 (Martensstr. 5/7, Werkstoffwissenschaften))
10.12.2018Fasil Gadjimuradov

MT Intro Talk: "Konzept und Realisierung eines flexiblen Trajektoriengenerators mit Vollständigkeitsanalyse für medizinische C-Bogen-Robotiksysteme" (will be in room 0.68 (Martensstr. 5/7, Werkstoffwissenschaften)) 


Journal Club

17.12.2018Journal Club
14.01.2019AllStatus Update
27.01.2019Alexander PreuhsJournal Club: Opens external link in new windowDenoising CT with GANs
04.02.2019Qiuting LeeMT final talk: Image registration of 2-D cone-beam mammography image and 3-D ultrasound image
11.02.2019Christoph Luckner

Journal Club: Opens external link in new windowConvolutional Neural Network-based MAR in CT



Journal Club:Opens external link in new windowDenoising for low dose CT
11.03.2019all2nd Journal Club, please read the paper! Opens external link in new windowDenoising for low dose CT

(Opens internal link in current windowArchive)


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