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Development of MR elastography using MRI system resonance

Development of MR elastography using MRI system resonance
利用 MRI 系统共振开发 MR 弹性成像
批准号:
23500552
负责人:
SUGA Mikio
金额:
$3.49万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2011
资助国家:
日本
项目状态:
已结题
起止时间:
2011 至 2013

项目摘要

项目成果

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中文摘要
翻译
磁共振弹性成像(MRE)是一种定量评估组织粘弹性的技术。在大多数MRE研究中,外部驱动器被用来在组织内产生波。已经证明,由成像梯度瓣的脉冲引起的患者床面的振动可以用作MRE的机械驱动机构。该方法受到振动幅值较低的限制。因此,很难测量能够充分分辨体内小组织结构的高分辨率存储模量图(弹性图)。在这项研究中,我们提出了一种方法来改进这种方法,将开关梯度感应振动与传统的磁阻抗脉冲序列相结合。优化开关梯度诱导振动频率,可获得足够的振动幅值。结果表明,该系统可以实现粘弹性的定量测量。
英文摘要
Magnetic resonance elastography (MRE) is a technique for quantitative evaluation of the viscoelasticity of tissue. In most MRE studies an external driver is used to generate waves within tissue. It has been demonstrated that the vibrations of the patient bed that result from the impulse of an imaging gradient lobe can be used as a mechanical driving mechanism for MRE. The method is limited by the low amplitude of the vibrations. Consequently, it is difficult to measure high-resolution storage modulus maps (elastograms) that are able to sufficiently resolve small in vivo tissue structure. In this study, we propose a way to improve this method by using switching-gradient induced vibration in conjunction with a conventional MRE pulse sequence. Sufficient vibration amplitude was available when the switching-gradient induced vibration frequency was optimized. The results indicate that proposed system may enable quantitative measurement of viscoelasticity.
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会议论文
DOI: --
发表时间: 2011
期刊: 第39回日本磁気共鳴医学会大会講演抄録集
影响因子: --
作者: [小澤慎也, 菅幹生, 池田啓, 小山敦久, 若山哲也, 小畠隆行]
通讯作者: 小畠隆行
ガントリ振動を利用したMR Elastography による生体脳計測
使用 MR 弹性成像和龙门​​振动进行生物脑测量
DOI: --
发表时间: 2013
期刊:
影响因子: --
作者: [Mikio Suga, Takayuki Obata, Hajime Ikeda, Atsuhisa Koyama, Tetsuya Wakayama, and Riwa Kishimoto, 小山敦久,菅幹生,岸本理和,若山哲也,伊藤浩,小畠隆行, 菅幹生,若山哲也,岸本理和,小畠隆行]
通讯作者: 菅幹生,若山哲也,岸本理和,小畠隆行
DOI: --
发表时间: 2013
期刊:
影响因子: --
作者: [小山敦久, 菅幹生, 岸本理和, 池田啓, 島崎晋平, 若山哲也, 小畠隆行, 辻比呂志]
通讯作者: 辻比呂志
エラストグラフィ最前線
弹性成像的前沿
DOI: --
发表时间: 2014
期刊: MEDICAL IMAGING TECHNOLOGY
影响因子: --
作者: [Toru Ariyoshi, Kazuya Murata, Yasuaki Wada, 菅幹生]
通讯作者: 菅幹生
20
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