Searched for: subject%3A%22MR%255C+fingerprinting%22
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Nagtegaal, M.A. (author)
Magnetic Resonance Imaging (MRI) is a flexible medical imaging technique that facilitates measurement of a wide range of contrasts particularly in soft tissue (e.g. brain and heart). Conventionally, qualitative images are acquired in which certain physical tissue properties are emphasized such as the transverse and longitudinal relaxation times....
doctoral thesis 2023
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Nagtegaal, M.A. (author), Hermann, I. (author), Weingärtner, S.D. (author), Martinez-Heras, Eloy (author), Solana, Elisabeth (author), Llufriu, Sara (author), Gass, Achim (author), Poot, Dirk H.J. (author), van Osch, Matthias J.P. (author), Vos, F.M. (author), de Bresser, Jeroen (author)
T<sub>2</sub>-hyperintense lesions are the key imaging marker of multiple sclerosis (MS). Previous studies have shown that the white matter surrounding such lesions is often also affected by MS. Our aim was to develop a new method to visualize and quantify the extent of white matter tissue changes in MS based on relaxometry properties. We...
journal article 2023
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Nunez-Gonzalez, L. (author), Nagtegaal, M.A. (author), Poot, D.H.J. (author), de Bresser, J. (author), van Osch, M. J.P. (author), Hernandez-Tamames, J.A. (author), Vos, F.M. (author)
MR fingerprinting (MRF) is a promising method for quantitative characterization of tissues. Often, voxel-wise measurements are made, assuming a single tissue-type per voxel. Alternatively, the Sparsity Promoting Iterative Joint Non-negative least squares Multi-Component MRF method (SPIJN-MRF) facilitates tissue parameter estimation for...
journal article 2022
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Nagtegaal, M.A. (author), Hartsema, Emiel (author), Koolstra, Kirsten (author), Vos, F.M. (author)
Purpose: To develop an efficient algorithm for multicomponent MR fingerprinting (MC-MRF) reconstructions directly from highly undersampled data without making prior assumptions about tissue relaxation times and expected number of tissues. Methods: The proposed method reconstructs MC-MRF maps from highly undersampled data by iteratively...
journal article 2022
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Heesterbeek, David G.J. (author), Koolstra, Kirsten (author), van Osch, Matthias J.P. (author), van Gijzen, M.B. (author), Vos, F.M. (author), Nagtegaal, M.A. (author)
Purpose: To develop a method for MR Fingerprinting (MRF) sequence optimization that takes both the applied undersampling pattern and a realistic reference map into account. Methods: A predictive model for the undersampling error leveraging on perturbation theory was exploited to optimize the MRF flip angle sequence for improved robustness...
journal article 2022
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Nagtegaal, M.A. (author), Koken, Peter (author), Amthor, Thomas (author), Doneva, Mariya (author)
<br/>Purpose<br/><br/>To develop an efficient algorithm for multi‐component analysis of magnetic resonance fingerprinting (MRF) data without making a priori assumptions about the exact number of tissues or their relaxation properties.<br/>Methods<br/><br/>Different tissues or components within a voxel are potentially separable in MRF because of...
journal article 2020
Searched for: subject%3A%22MR%255C+fingerprinting%22
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