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

Date	Responsible Person	Title
27.01.2019	Alexander Preuhs	Journal Club: Denoising CT with GANs
04.02.2019	Qiuting Lee	MT final talk: Image registration of 2-D cone-beam mammography image and 3-D ultrasound image
11.02.2019	Christoph Luckner	Journal Club: Convolutional Neural Network-based MAR in CT
04.03.2019	all	Journal Club:Denoising for low dose CT
11.03.2019	all	2nd Journal Club, please read the paper! Denoising for low dose CT
29.04.2019	Fasil Gadjimuradov	Final Talk: Concept and Realization of a Flexible Trajectory Generator with Data Completeness Analysis for Medical C-arm Robotic Systems
06.05.2019	Lina Felsner	Intro to ADMM and ADMM for Limited Angle
17.05.2019	all	ADMM with networks for CS-MRI
24.05.2019	all	Internal Update Meeting
31.05.2019	all	Internal Update Meeting
05.07.2019	Alexander Preuhs	Talk: deep autofocus
12.07.2019	Lina Felsner	BA Intro-Talk: Niklas Bubeck - Truncation-correction Method for X-ray Dark-field Computed Tomography
	Gabriel Herl	Journal Club: Task-driven source–detector trajectories in cone-beam computed tomography: Part I and II.

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We meet every Friday at 10:00h.
During renovation of our room (01.134-113), we temporarily meet in room 02.133-113.

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.

Contact

Secretary

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