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Quantitation of magnetic resonance spectroscopy signals: the jMRUI software package
Open accessAbstract
The software package jMRUI with Java-based graphical user interface enables user-friendly time-domain analysis of magnetic resonance spectroscopy (MRS) and spectroscopic imaging (MRSI) and HRMAS-NMR signals. Version 3.x has been distributed in more than 1200 groups or hospitals worldwide. The new version 4.x is a plug-in platform enabling the users to add their own algorithms. Moreover, it offers new functionalities compared to versions 3.x. The quantum-mechanical simulator based on NMR-SCOPE, the quantitation algorithm QUEST and the main MRSI functionalities are described. Quantitation results of signals obtained in vivo from a mouse and a human brain are given.
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Cited by
Yoon, J. H., Maddock, R. J., Rokem, A., Silver, M. A., Minzenberg, M. J., Ragland, J. D., & Carter, C. S. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.6158-09.2010 · Cited by 408
“Using jMRUI software (Stefan et al., 2009), all spectra were phase aligned with reference to water, zero filled from 1024 to 4096, apodized with a 4 Hz Gaussian filter, and frequency aligned to creatine (Cr) at 3.”
InfluentialEnde, G., Cackowski, S., Van Eijk, J., Sack, M., Demirakca, T., Kleindienst, N., Bohus, M., Sobanski, E., Krause-Utz, A., & Schmahl, C. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.153 · Cited by 163
Skeletal Muscle Mitochondria in the Elderly: Effects of Physical Fitness and Exercise Training
Broskey, N. T., Greggio, C., Boss, A., Boutant, M., Dwyer, A., Schlueter, L., Hans, D., Gremion, G., Kreis, R., Boesch, C., et al. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-3983 · Cited by 157
Muscle strength mediates the relationship between mitochondrial energetics and walking performance
Zane, A. C., Reiter, D. A., Shardell, M., Cameron, D., Simonsick, E. M., Fishbein, K. W., Studenski, S. A., Spencer, R. G., & Ferrucci, L. (2017) · Aging Cell · doi:10.1111/acel.12568 · Cited by 134
Hepatic Insulin Resistance Is Not Pathway Selective in Humans With Nonalcoholic Fatty Liver Disease
ter Horst, K. W., Vatner, D. F., Zhang, D., Cline, G. W., Ackermans, M. T., Nederveen, A. J., Verheij, J., Demirkiran, A., van Wagensveld, B. A., Dallinga-Thie, G. M., et al. (2021) · Diabetes Care · doi:10.2337/dc20-1644 · Cited by 88
Metadata
- Authors
- Stefan, D., Cesare, F. D., Andrasescu, A., Popa, E., Lazariev, A., Vescovo, E., Strbak, O., Williams, S., Starcuk, Z., Cabanas, M., van Ormondt, D., & Graveron-Demilly, D.
- Venue
- Measurement Science and Technology
- Publisher
- IOP Publishing
- Published
- 2009-09-04
- Volume
- 20
- Issue
- 10
- Pages
- 104035
- ISSN
- 0957-0233 (ISSN-L)
- 1361-6501
- OpenAlex
- W2085091329
- Cited by
- 514
- References
- 0
- FWCI
- 10.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Stefan, D., Cesare, F. D., Andrasescu, A., Popa, E., Lazariev, A., Vescovo, E., Strbak, O., Williams, S., Starcuk, Z., Cabanas, M., van Ormondt, D., & Graveron-Demilly, D. (2009). Quantitation of magnetic resonance spectroscopy signals: the jMRUI software package. Measurement Science and Technology. https://doi.org/10.1088/0957-0233/20/10/104035
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