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	An Internal Reference Model-Based PRF Temperature Mapping Method With Cramer-Rao Lower Bound Noise Performance Analysis
	Li, Cheng ; Pan, Xinyi ; Ying, Kui ; Zhang, Qiang ; An, Jing ; Weng, Dehe ; Qin, Wen ; Li, Kuncheng
	2010-10-12 ; 2010-10-12
关键词	MRI thermometry water proton resonance frequency PRF fat multigradient echo sequence Crame-Rao lower bound PROTON CHEMICAL-SHIFT IN-VIVO THERMAL ABLATION MR THERMOMETRY WATER FAT BREAST DECOMPOSITION OPTIMIZATION FEASIBILITY Radiology, Nuclear Medicine & Medical Imaging
中文摘要	The conventional phase difference method for MR thermometry suffers from disturbances caused by the presence of lipid protons, motion-induced error, and field drift. A signal model is presented with multi-echo gradient echo (GRE) sequence using a fat signal as an internal reference to overcome these problems. The internal reference signal model is fit to the water and fat signals by the extended Prony algorithm and the Levenberg-Marquardt algorithm to estimate the chemical shifts between water and fat which contain temperature information. A noise analysis of the signal model was conducted using the Cramer-Rao lower bound to evaluate the noise performance of various algorithms, the effects of imaging parameters, and the influence of the water:fat signal ratio in a sample on the temperature estimate. Comparison of the calculated temperature map and thermocouple temperature measurements shows that the maximum temperature estimation error is 0.614 degrees C, with a standard deviation of 0.06 degrees C, confirming the feasibility of this model-based temperature mapping method. The influence of sample water:fat signal ratio on the accuracy of the temperature estimate is evaluated in a water-fat mixed phantom experiment with an optimal ratio of approximately 0.66:1. Magn Reson Med 62:1251-1260, 2009. (C) 2009 Wiley-Liss, Inc.
语种	英语 ; 英语
出版者	JOHN WILEY & SONS INC ; HOBOKEN ; 111 RIVER ST, HOBOKEN, NJ 07030 USA
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/78870]
专题	清华大学
推荐引用方式 GB/T 7714	Li, Cheng,Pan, Xinyi,Ying, Kui,et al. An Internal Reference Model-Based PRF Temperature Mapping Method With Cramer-Rao Lower Bound Noise Performance Analysis[J],2010, 2010.
APA	Li, Cheng.,Pan, Xinyi.,Ying, Kui.,Zhang, Qiang.,An, Jing.,...&Li, Kuncheng.(2010).An Internal Reference Model-Based PRF Temperature Mapping Method With Cramer-Rao Lower Bound Noise Performance Analysis..
MLA	Li, Cheng,et al."An Internal Reference Model-Based PRF Temperature Mapping Method With Cramer-Rao Lower Bound Noise Performance Analysis".(2010).

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