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优化单体磁共振波谱序列参数和数据分析方法以用于深部热疗中的测温。

Optimization of Single Voxel MR Spectroscopy Sequence Parameters and Data Analysis Methods for Thermometry in Deep Hyperthermia Treatments.

机构信息

1 Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

2 Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany.

出版信息

Technol Cancer Res Treat. 2017 Aug;16(4):470-481. doi: 10.1177/1533034616656310. Epub 2016 Jul 14.

DOI:10.1177/1533034616656310
PMID:27422012
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5616065/
Abstract

OBJECTIVE

The difference in the resonance frequency of water and methylene moieties of lipids quantifies in magnetic resonance spectroscopy the absolute temperature using a predefined calibration curve. The purpose of this study was the investigation of peak evaluation methods and the magnetic resonance spectroscopy sequence (point-resolved spectroscopy) parameter optimization that enables thermometry during deep hyperthermia treatments.

MATERIALS AND METHODS

Different Lorentz peak-fitting methods and a peak finding method using singular value decomposition of a Hankel matrix were compared. Phantom measurements on organic substances (mayonnaise and pork) were performed inside the hyperthermia 1.5-T magnetic resonance imaging system for the parameter optimization study. Parameter settings such as voxel size, echo time, and flip angle were varied and investigated.

RESULTS

Usually all peak analyzing methods were applicable. Lorentz peak-fitting method in MATLAB proved to be the most stable regardless of the number of fitted peaks, yet the slowest method. The examinations yielded an optimal parameter combination of 8 cm voxel volume, 55 millisecond echo time, and a 90° excitation pulse flip angle.

CONCLUSION

The Lorentz peak-fitting method in MATLAB was the most reliable peak analyzing method. Measurements in homogeneous and heterogeneous phantoms resulted in optimized parameters for the magnetic resonance spectroscopy sequence for thermometry.

摘要

目的

利用预设的校准曲线,通过磁共振光谱中水和亚甲基部分的共振频率差异来量化绝对温度。本研究的目的是研究能够在深部热疗期间进行测温的峰评估方法和磁共振光谱序列(点分辨光谱)参数优化。

材料和方法

比较了不同的洛伦兹峰拟合方法和使用汉克尔矩阵奇异值分解的峰查找方法。在 1.5T 磁共振成像系统内对有机物质(蛋黄酱和猪肉)进行了体模测量,以进行参数优化研究。改变并研究了体素大小、回波时间和翻转角等参数设置。

结果

通常所有的峰分析方法都是适用的。MATLAB 中的洛伦兹峰拟合方法被证明是最稳定的,无论拟合峰的数量如何,但速度最慢。检查得出的最佳参数组合为 8cm 体素体积、55 毫秒回波时间和 90°激发脉冲翻转角。

结论

MATLAB 中的洛伦兹峰拟合方法是最可靠的峰分析方法。在均匀和非均匀体模中的测量得出了用于测温的磁共振光谱序列的优化参数。

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本文引用的文献

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Strahlenther Onkol. 2014 Nov;190(12):1117-24. doi: 10.1007/s00066-014-0709-y.
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Validation of MR thermometry: method for temperature probe sensor registration accuracy in head and neck phantoms.磁共振温度测量法的验证:头颈部模型中温度探头传感器配准精度的方法
Int J Hyperthermia. 2014 Mar;30(2):142-9. doi: 10.3109/02656736.2014.887794.
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MR thermometry in the human prostate gland at 3.0T for transurethral ultrasound therapy.3.0T 下经尿道超声治疗的人前列腺磁共振测温。
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Improved reproducibility of MRS regional brain thermometry by 'amplitude-weighted combination'.通过“幅度加权组合”提高 MRS 区域性脑测温的可重复性。
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In vivo characterization of the liver fat ¹H MR spectrum.体内¹H 磁共振波谱对肝脏脂肪的特征分析。
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