Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
J Magn Reson Imaging. 2013 Dec;38(6):1462-71. doi: 10.1002/jmri.24117. Epub 2013 Apr 4.
To investigate the performance of different reconstruction methods for monitoring temperature changes during transcranial magnetic resonance imaging (MRI)-guided focused ultrasound (MRgFUS).
Four different temperature reconstruction methods were compared in volunteers (without heating) and patients undergoing transcranial MRgFUS: single baseline subtraction, multibaseline subtraction, hybrid single baseline/referenceless reconstruction, and hybrid multibaseline/referenceless reconstruction. Absolute temperature error and temporal temperature uncertainty of the different reconstruction methods were analyzed and compared.
Absolute temperature errors and temporal temperature uncertainty were highest with single baseline subtraction and lowest with hybrid multibaseline/referenceless reconstruction in all areas of the brain. Pulsation of the brain and susceptibility changes from tongue motion or swallowing caused substantial temperature errors when single or multibaseline subtraction was used, which were much reduced when the referenceless component was added to the reconstruction.
Hybrid multibaseline/referenceless thermometry accurately measures temperature changes in the brain with fewer artifacts and errors due to motion than pure baseline subtraction methods.
研究不同重建方法在监测经颅磁共振引导聚焦超声(MRgFUS)过程中温度变化的性能。
在志愿者(无加热)和接受经颅 MRgFUS 的患者中比较了四种不同的温度重建方法:单基线相减、多基线相减、混合单基线/无参考重建和混合多基线/无参考重建。分析和比较了不同重建方法的绝对温度误差和时间温度不确定性。
在大脑的所有区域,单基线相减法的绝对温度误差和时间温度不确定性最高,而混合多基线/无参考重建的最低。当使用单基线或多基线相减时,由于大脑的搏动和舌运动或吞咽引起的磁化率变化会导致显著的温度误差,而当将无参考分量添加到重建中时,这些误差会大大减少。
混合多基线/无参考测温法由于运动引起的伪影和误差比纯基线相减法少,因此能更准确地测量大脑中的温度变化。