Document Detail


An internal reference model-based PRF temperature mapping method with Cramer-Rao lower bound noise performance analysis.
MedLine Citation:
PMID:  19780176     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Cheng Li; Xinyi Pan; Kui Ying; Qiang Zhang; Jing An; Dehe Weng; Wen Qin; Kuncheng Li
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  62     ISSN:  1522-2594     ISO Abbreviation:  Magn Reson Med     Publication Date:  2009 Nov 
Date Detail:
Created Date:  2009-11-03     Completed Date:  2010-01-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1251-60     Citation Subset:  IM    
Copyright Information:
(c) 2009 Wiley-Liss, Inc.
Affiliation:
Engineering Physics, Tsinghua University, Beijing, People's Republic of China.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Body Temperature / physiology*
Computer Simulation
Humans
Image Interpretation, Computer-Assisted / methods*
Magnetic Resonance Imaging / instrumentation,  methods*
Magnetic Resonance Spectroscopy / instrumentation,  methods*
Models, Biological
Phantoms, Imaging
Reproducibility of Results
Sensitivity and Specificity
Thermography / methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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