| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن | 
|---|---|---|---|---|
| 5406500 | 1393177 | 2010 | 8 صفحه PDF | دانلود رایگان | 
عنوان انگلیسی مقاله ISI
												PERFIDI filters to suppress and/or quantify relaxation time components in multi-component systems: An example for fat-water systems
												
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																																												کلمات کلیدی
												
											موضوعات مرتبط
												
													مهندسی و علوم پایه
													شیمی
													شیمی تئوریک و عملی
												
											پیش نمایش صفحه اول مقاله
												 
												چکیده انگلیسی
												Parametrically Enabled Relaxation FIlters with Double and multiple Inversion (PERFIDI) is an experimental NMR/MRI technique devised to analyze samples/voxels characterized by multi-exponential longitudinal relaxation. It is based on a linear combination of NMR sequences with suitable preambles composed of inversion pulses. Given any standard NMR/MRI sequence, it permits one to modify it in a way which will attenuate, in a predictable manner and before data acquisition, signals arising from components with different r rates (r = 1/T1). Consequently, it is possible to define relatively simple protocols to suppress and/or to quantify signals of different components. This article describes a simple way to construct low-pass, high-pass and band-pass PERFIDI filters. Experimental data are presented in which the method has been used to separate fat and water proton signals. We also present a novel protocol for very fast determination of the ratio between the fat signal and the total signal which avoids any time-consuming magnetization recovery multi-array data acquisition. The method has been validated also for MRI, producing well T1-contrasted images.
											ناشر
												Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Magnetic Resonance - Volume 206, Issue 2, October 2010, Pages 219-226
											Journal: Journal of Magnetic Resonance - Volume 206, Issue 2, October 2010, Pages 219-226
نویسندگان
												V. Bortolotti, P. Fantazzini, M. Gombia, D. Greco, G. Rinaldin, S. Sykora,