» Authors » Christoph Kolbitsch

Christoph Kolbitsch

Explore the profile of Christoph Kolbitsch including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 69
Citations 548
Followers 0
Related Specialties
Top 10 Co-Authors
Published In
Affiliations
Soon will be listed here.
Recent Articles
1.
Schote D, Silemek B, OReilly T, Seifert F, Assmy J, Kolbitsch C, et al.
Magn Reson Med . 2025 Jan; 93(5):2224-2238. PMID: 39869657
Purpose: To develop a low-cost, high-performance, versatile, open-source console for low-field MRI applications that can integrate a multitude of different auxiliary sensors. Methods: A new MR console was realized with...
2.
Brahma S, Kofler A, Zimmermann F, Schaeffter T, Chiribiri A, Kolbitsch C
IEEE Trans Biomed Eng . 2024 Oct; 72(3):1031-1044. PMID: 39441677
Stress perfusion cardiac magnetic resonance is an important technique for examining and assessing the blood supply of the myocardium. Currently, the majority of clinical perfusion scans are evaluated based on...
3.
Lutz M, Aigner C, Flassbeck S, Krueger F, Gatefait C, Kolbitsch C, et al.
Magn Reson Med . 2024 Aug; 92(6):2473-2490. PMID: 39133639
Purpose: This study aims to map the transmit magnetic field ( ) in the human body at 7T using MR fingerprinting (MRF), with a focus on achieving high accuracy and...
4.
Huiyue Zhang J, Neumann T, Schaeffter T, Kolbitsch C, Kerkering K
MAGMA . 2024 Aug; 37(4):637-649. PMID: 39133420
Objective: The purpose of this study was to investigate an approach for motion-corrected T1 mapping of the abdomen that allows for free breathing data acquisition with 100% scan efficiency. Materials...
5.
Schote D, Winter L, Kolbitsch C, Rose G, Speck O, Kofler A
IEEE Trans Biomed Eng . 2024 May; 71(10):2842-2853. PMID: 38696296
Objective: We present a model-based image reconstruction approach based on unrolled neural networks which corrects for image distortion and noise in low-field ( B  ∼  50 mT) MRI. Methods: Utilising...
6.
Posselt C, Avci M, Yigitsoy M, Schuenke P, Kolbitsch C, Schaeffter T, et al.
J Med Imaging (Bellingham) . 2024 Apr; 11(2):024013. PMID: 38666039
Purpose: To provide a simulation framework for routine neuroimaging test data, which allows for "stress testing" of deep segmentation networks against acquisition shifts that commonly occur in clinical practice for...
7.
Viezzer D, Hadler T, Groschel J, Ammann C, Blaszczyk E, Kolbitsch C, et al.
EBioMedicine . 2024 Mar; 102:105055. PMID: 38490103
Background: In cardiovascular magnetic resonance imaging parametric T1 mapping lacks universally valid reference values. This limits its extensive use in the clinical routine. The aim of this work was the...
8.
Hufnagel S, Schuenke P, Schulz-Menger J, Schaeffter T, Kolbitsch C
Phys Med Biol . 2024 Mar; 69(8). PMID: 38479021
. To provide three-dimensional (3D) whole-heart high-resolution isotropic cardiac T1 maps using a k-space-based through-plane super-resolution reconstruction (SRR) with rotated multi-slice stacks.. Due to limited SNR and cardiac motion, often...
9.
Degenhardt K, Schmidt S, Aigner C, Kratzer F, Seiter D, Mueller M, et al.
Magn Reson Med . 2024 Jan; 91(5):1994-2009. PMID: 38174601
Purpose: Traditional phase-contrast MRI is affected by displacement artifacts caused by non-synchronized spatial- and velocity-encoding time points. The resulting inaccurate velocity maps can affect the accuracy of derived hemodynamic parameters....
10.
Winter L, Periquito J, Kolbitsch C, Pellicer-Guridi R, Nunes R, Hauer M, et al.
NMR Biomed . 2023 Nov; 37(7):e5052. PMID: 37986655
Open-source practices and resources in magnetic resonance imaging (MRI) have increased substantially in recent years. This trend started with software and data being published open-source and, more recently, open-source hardware...