Filip Jiru
University of Tübingen
12 Papers
136 Citations
Filip Jiru is an academic researcher from University of Tübingen. The author has contributed to research in topics: In vivo magnetic resonance spectroscopy & Magnetic resonance imaging. The author has an hindex of 8, co-authored 12 publications.
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Papers
Introduction to post-processing techniques
TL;DR: The quality of data measured in in vivo MR spectroscopy is often insufficient due to a number of limitations such as low concentrations of observed metabolites and restricted measurement time, but there are a variety of methods called post-processing techniques which allow the enhancement of the measured signal after measurement.
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Error images for spectroscopic imaging by LCModel using Cramer-Rao bounds.
TL;DR: The relevance of Cramer–Rao bounds (CRBs) calculated by the LCModel program to describe errors in estimated concentrations is validated using spectra simulations and the results suggest that the average CRBs are strongly correlated with the standard deviations and hence that CRB values reflect the relative uncertainty of the calculated concentrations.
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(1)H MR spectroscopic imaging in patients with MRI-negative extratemporal epilepsy: correlation with ictal onset zone and histopathology.
Pavel Krsek,Milan Hájek,Monika Dezortova,Filip Jiru,Antonin Skoch,Petr Marusic,Josef Zamecnik,Martin Kyncl,Michal Tichy,Vladimir Komarek +9 more
TL;DR: 1H MRS could be more sensitive for the detection of discrete malformations of cortical development than conventional MRI and valuable in the presurgical evaluation of patients without MRI-apparent lesions.
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1H MR spectroscopy as a diagnostic tool for cerebral creatine deficiency.
TL;DR: The diagnosis of X-linked mental retardation caused by the SLC6A8 deficiency can be independently established by 1H MR spectroscopy.
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Quantitative MR imaging and spectroscopy of brain tumours: a step forward?
Dita Wagnerová,Vít Herynek,Alberto Malucelli,Monika Dezortova,Josef Vymazal,Dušan Urgošík,Martin Syrucek,Filip Jiru,Antonin Skoch,Robert Bartoš,Martin Sameš,Milan Hájek +11 more
TL;DR: A combination of different MR parameters on a pixel-by-pixel basis in individual patients enables better identification of the tumour type, direction of proliferation and assessment of the malignant tumour extension.
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