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Comparison of temperature processing methods for monitoring focused ultrasound ablation in the brain

机译:监测大脑中聚焦超声消融的温度处理方法的比较

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摘要

PURPOSE: To investigate the performance of different reconstruction methods for monitoring temperature changes during transcranial magnetic resonance imaging (MRI)-guided focused ultrasound (MRgFUS). MATERIALS AND METHODS: 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. RESULTS: 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. CONCLUSION: Hybrid multibaseline/referenceless thermometry accurately measures temperature changes in the brain with fewer artifacts and errors due to motion than pure baseline subtraction methods.
机译:目的:探讨经颅磁共振成像(MRI)引导的聚焦超声(MRgFUS)监测温度变化的不同重建方法的性能。材料与方法:比较了志愿者(不加热)和经颅MRgFUS患者的四种不同的温度重建方法:单基线减法,多基线减法,混合单基线/无参考重建和混合多基线/无参考重建。分析并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。结果:在所有脑部中,绝对温度误差和时间温度不确定性在单基线减法中最高,而在混合多基线/无参考重建中最低。当使用单基线或多基线减法时,大脑的搏动和舌运动或吞咽引起的磁化率变化会导致相当大的温度误差,而当将无参考成分添加到重建中时,则会大大降低温度误差。结论:与纯基线减法相比,混合多基线/无参考测温法可准确测量大脑中的温度变化,并减少了运动引起的伪影和误差。

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