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Author: search.filters.author.Dydak, Ulrike

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    Clinical Proton MR Spectroscopy in Central Nervous System Disorders
    (RADIOLOGICAL SOC NORTH AMERICA, 2014-01-01) Gulin, O. Z.; Alger, Jeffry R.; Barker, Peter B.; Bartha, Robert; Bizzi, Alberto; Boesch, Chris; Bolan, Patrick J.; Brindle, Kevin M.; Cudalbu, Cristina; Dincer, Alp; Dydak, Ulrike; Emir, Uzay E.; Frahm, Jens; Gonzalez, Ramon Gilberto; Gruber, Stephan; Gruetter, Rolf; Gupta, Rakesh K.; Heerschap, Arend; Henning, Anke; Hetherington, Hoby P.; Howe, Franklyn A.; Hueppi, Petra S.; Hurd, Ralph E.; Kantarci, Kejal; Klomp, Dennis W. J.; Kreis, Roland; Kruiskamp, Marijn J.; Leach, Martin O.; Lin, Alexander P.; Luijten, Peter R.; Marjanska, Malgorzata; Maudsley, Andrew A.; Meyerhoff, Dieter J.; Mountford, Carolyn E.; Nelson, Sarah J.; Pamir, M. Necmettin; Pan, Jullie W.; Peet, Andrew C.; Poptani, Harish; Posse, Stefan; Pouwels, Petra J. W.; Ratai, Eva-Maria; Ross, Brian D.; Scheenen, Tom W. J.; Schuster, Christian; Smith, Ian C. P.; Soher, Brian J.; Tkac, Ivan; Vigneron, Daniel B.; Kauppinen, Risto A.; Grp, M.R.S. Consensus
    A large body of published work shows that proton (hydrogen 1 {[}H-1]) magnetic resonance (MR) spectroscopy has evolved from a research tool into a clinical neuroimaging modality. Herein, the authors present a summary of brain disorders in which MR spectroscopy has an impact on patient management, together with a critical consideration of common data acquisition and processing procedures. The article documents the impact of 1H MR spectroscopy in the clinical evaluation of disorders of the central nervous system. The clinical usefulness of 1H MR spectroscopy has been established for brain neoplasms, neonatal and pediatric disorders (hypoxia-ischemia, inherited metabolic diseases, and traumatic brain injury), demyelinating disorders, and infectious brain lesions. The growing list of disorders for which 1H MR spectroscopy may contribute to patient management extends to neurodegenerative diseases, epilepsy, and stroke. To facilitate expanded clinical acceptance and standardization of MR spectroscopy methodology, guidelines are provided for data acquisition and analysis, quality assessment, and interpretation. Finally, the authors offer recommendations to expedite the use of robust MR spectroscopy methodology in the clinical setting, including incorporation of technical advances on clinical units. (c) RSNA, 2014
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    In Vivo Renal Lipid Quantification by Accelerated Magnetic Resonance Spectroscopic Imaging at 3T: Feasibility and Reliability Study
    (MDPI, 2022-01-01) Alhulail, Ahmad A.; Servati, Mahsa; Ooms, Nathan; Akin, Oguz; Dincer, Alp; Thomas, M. Albert; Dydak, Ulrike; Emir, Uzay E.
    A reliable and practical renal-lipid quantification and imaging method is needed. Here, the feasibility of an accelerated MRSI method to map renal fat fractions (FF) at 3T and its repeatability were investigated. A 2D density-weighted concentric-ring-trajectory MRSI was used for accelerating the acquisition of 48 x 48 voxels (each of 0.25 mL spatial resolution) without respiratory navigation implementations. The data were collected over 512 complex-FID timepoints with a 1250 Hz spectral bandwidth. The MRSI sequence was designed with a metabolite-cycling technique for lipid-water separation. The in vivo repeatability performance of the sequence was assessed by conducting a test-reposition-retest study within healthy subjects. The coefficient of variation (CV) in the estimated FF from the test-retest measurements showed a high degree of repeatability of MRSI-FF (CV = 4.3 +/- 2.5\%). Additionally, the matching level of the spectral signature within the same anatomical region was also investigated, and their intrasubject repeatability was also high, with a small standard deviation (8.1 +/- 6.4\%). The MRSI acquisition duration was similar to 3 min only. The proposed MRSI technique can be a reliable technique to quantify and map renal metabolites within a clinically acceptable scan time at 3T that supports the future application of this technique for the non-invasive characterization of heterogeneous renal diseases and tumors.