Christoph Kolbitsch
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Explore the profile of Christoph Kolbitsch including associated specialties, affiliations and a list of published articles.
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69
Citations
548
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Recent Articles
11.
Dejene E, Brenner W, Makowski M, Kolbitsch C
Phys Med Biol
. 2023 Oct;
68(21).
PMID: 37820640
. Physiological parameter estimation is affected by intrinsic ambiguity in the data such as noise and model inaccuracies. The aim of this work is to provide a deep learning framework...
12.
Manini C, Nemchyna O, Akansel S, Walczak L, Tautz L, Kolbitsch C, et al.
Int J Comput Assist Radiol Surg
. 2023 Sep;
19(3):553-569.
PMID: 37679657
Purpose: Numerical phantom methods are widely used in the development of medical imaging methods. They enable quantitative evaluation and direct comparison with controlled and known ground truth information. Cardiac magnetic...
13.
Kofler A, Kerkering K, Goschel L, Fillmer A, Kolbitsch C
IEEE Trans Biomed Eng
. 2023 Aug;
71(2):388-399.
PMID: 37540614
Objective: We propose a method for the reconstruction of parameter-maps in Quantitative Magnetic Resonance Imaging (QMRI). Methods: Because different quantitative parameter-maps differ from each other in terms of local features,...
14.
Brahma S, Kolbitsch C, Martin J, Schaeffter T, Kofler A
Med Phys
. 2023 Jun;
50(11):6955-6977.
PMID: 37367947
Background: Cardiac MRI has become the gold-standard imaging technique for assessing cardiovascular morphology and function. In spite of this, its slow data acquisition process presents imaging challenges due to the...
15.
Kerkering K, Schulz-Menger J, Schaeffter T, Kolbitsch C
Magn Reson Med
. 2023 Jun;
90(3):1086-1100.
PMID: 37288592
Purpose: To allow for T1 mapping of the myocardium within 2.3 s for a 2D slice utilizing cardiac motion-corrected, model-based image reconstruction. Methods: Golden radial data acquisition is continuously carried...
16.
Ammann C, Hadler T, Groschel J, Kolbitsch C, Schulz-Menger J
Front Cardiovasc Med
. 2023 May;
10:1118499.
PMID: 37144061
Background: Cardiac function quantification in cardiovascular magnetic resonance requires precise contouring of the heart chambers. This time-consuming task is increasingly being addressed by a plethora of ever more complex deep...
17.
Neumann T, Ludwig J, Kerkering K, Speier P, Seifert F, Schaeffter T, et al.
Phys Med Biol
. 2023 Feb;
68(5).
PMID: 36763999
T1 mapping of the liver is time consuming and can be challenging due to respiratory motion. Here we present a prospective slice tracking approach, which utilizes an external ultra-wide band...
18.
Gatefait C, Ellison S, Nyangoma S, Schmitter S, Kolbitsch C
Phys Med
. 2023 Jan;
105:102514.
PMID: 36608390
Purpose: Assess and optimise acquisition parameters for continuous cardiac Magnetic Resonance Fingerprinting (MRF). Methods: Different acquisition schemes (flip angle amplitude, lobe size, T2-preparation pulses) for cardiac MRF were assessed in...
19.
Kofler A, Pali M, Schaeffter T, Kolbitsch C
Med Phys
. 2022 Dec;
50(5):2939-2960.
PMID: 36565150
Background: Unrolled neural networks (NNs) have been extensively applied to different image reconstruction problems across all imaging modalities. A key component of the latter is that they allow for physics-informed...
20.
Hufnagel S, Metzner S, Kerkering K, Aigner C, Kofler A, Schulz-Menger J, et al.
Phys Med Biol
. 2022 Oct;
67(24).
PMID: 36265478
. To provide 3D high-resolution cardiac T1 maps using model-based super-resolution reconstruction (SRR).. Due to signal-to-noise ratio limitations and the motion of the heart during imaging, often 2D T1 maps...