NDLI: H-MR spectroscopy quantification using LCModel with the simulated basis-set created by software Vespa

Content Provider	IEEE Xplore Digital Library
Author	Qiang Xue Zhiwei Shen Hui Wang Yaowen Chen Renhua Wu
Copyright Year	2011
Description	Author affiliation: Department of Medical Imaging, Shantou University Medical College, Shantou, China (Zhiwei Shen; Yaowen Chen) \|\| Research Center For Learning Science, Southeast University, Nanjing, China (Qiang Xue; Renhua Wu) \|\| School Biomedical Science and Medical Engineering, Southeast University, Nanjing, China (Hui Wang)
Abstract	Magnetic Resonance Spectroscopy (MRS) is a non-invasive technique to measure in vivo metabolite concentration. However, an accurate and reliable quantification result is extremely essential. A commonly used commercial software for proton spectra processing is LCModel, which analyzes an observed in vivo spectrum from brain tissue as a Linear Combination of in vitro Model solutions spectra. The default model spectrum provided by LCModel is acquired from in vitro measurements of metabolic solutions using the same pulse sequence and scanning parameters as the in vivo measurement. In this study, we provide a new method to create a basis-set by Vespa-0.2.0 software simulation and compare the performance of default basis-set with the performance of a simulated one. Using Vespa simulation as the basis-set will provide adequate results as well. In vitro model solution collocation, which requires great care and expertise, will be avoided. A shortcut of basis-set production brings great convenience for various kinds of research.
Starting Page	572
Ending Page	575
File Size	787752
Page Count	4
File Format	PDF
ISBN	9781424493517
e-ISBN	9781424493524
DOI	10.1109/BMEI.2011.6098288
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	In vivo Analytical models Magnetic Resonance Spectroscopy(MRS) Quantification Phantoms Humans Brain modeling Basis-set Software In vitro LCModel Vespa
Content Type	Text
Resource Type	Article

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