Viola Rieke1, Kim Butts Pauly. 1. Department of Radiology, Stanford University, Stanford, CA 94305-5488, USA. vrieke@stanford.edu
Abstract
PURPOSE: To validate echo combination as a means to reduce errors caused by fat in temperature measurements with the proton resonance frequency (PRF) shift method. MATERIALS AND METHODS: Computer simulations were performed to study the behavior of temperature measurement errors introduced by fat as a function of echo time. Error reduction by combining temperature images acquired at different echo times was investigated. For experimental verification, three echoes were acquired in a refocused gradient echo acquisition. Temperature images were reconstructed with the PRF shift method for the three echoes and then combined in a weighted average. Temperature measurement errors in the combined image and the individual echoes were compared for pure water and different fractions of fat in a computer simulation and for a phantom containing a homogenous mixture with 20% fat in an MR experiment. RESULTS: In both simulation and MR measurement, the presence of fat caused severe temperature underestimation or overestimation in the individual echoes. The errors were substantially reduced after echo combination. Residual errors were about 0.3 degrees C for 10% fat and 1 degrees C for 20% fat. CONCLUSION: Echo combination substantially reduces temperature measurement errors caused by small fractions of fat. This technique then eliminates the need for fat suppression in tissues such as the liver.
PURPOSE: To validate echo combination as a means to reduce errors caused by fat in temperature measurements with the proton resonance frequency (PRF) shift method. MATERIALS AND METHODS: Computer simulations were performed to study the behavior of temperature measurement errors introduced by fat as a function of echo time. Error reduction by combining temperature images acquired at different echo times was investigated. For experimental verification, three echoes were acquired in a refocused gradient echo acquisition. Temperature images were reconstructed with the PRF shift method for the three echoes and then combined in a weighted average. Temperature measurement errors in the combined image and the individual echoes were compared for pure water and different fractions of fat in a computer simulation and for a phantom containing a homogenous mixture with 20% fat in an MR experiment. RESULTS: In both simulation and MR measurement, the presence of fat caused severe temperature underestimation or overestimation in the individual echoes. The errors were substantially reduced after echo combination. Residual errors were about 0.3 degrees C for 10% fat and 1 degrees C for 20% fat. CONCLUSION: Echo combination substantially reduces temperature measurement errors caused by small fractions of fat. This technique then eliminates the need for fat suppression in tissues such as the liver.
Authors: Hero K Hussain; Thomas L Chenevert; Frank J Londy; Vikas Gulani; Scott D Swanson; Barbara J McKenna; Henry D Appelman; Saroja Adusumilli; Joel K Greenson; Hari S Conjeevaram Journal: Radiology Date: 2005-10-19 Impact factor: 11.105
Authors: Rachel R Bitton; Elena Kaye; Frederick M Dirbas; Bruce L Daniel; Kim Butts Pauly Journal: J Magn Reson Imaging Date: 2011-12-14 Impact factor: 4.813
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