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通过超极化3He磁共振成像同时测量肺氧分压和表观扩散系数

Simultaneous measurement of pulmonary partial pressure of oxygen and apparent diffusion coefficient by hyperpolarized 3He MRI.

作者信息

Yu Jiangsheng, Law Michelle, Kadlecek Stephen, Emami Kiarash, Ishii Masaru, Stephen Michael, Woodburn John M, Vahdat Vahid, Rizi Rahim R

机构信息

Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.

出版信息

Magn Reson Med. 2009 May;61(5):1015-21. doi: 10.1002/mrm.21854.

Abstract

Hyperpolarized (3)He (HP (3)He) MRI shows promise to assess structural and functional pulmonary parameters in a sensitive, regional, and noninvasive way. Structural HP (3)He MRI has applied the apparent diffusion coefficient (ADC) for the detection of disease-induced lung microstructure changes at the alveolar level, and HP (3)He pulmonary partial pressure of oxygen (pO(2)) imaging measures the oxygen transfer efficiency between the lung and blood stream. Although both parameters are affected in chronic obstructive pulmonary disease (COPD), a quantitative assessment of the regional correlation of the two parameters has not been reported in the literature. In this work, a single acquisition technique for the simultaneous measurement of ADC and pO(2) is presented. This technique is based on the multiple regression method, in which a general linear estimator is used to retrieve the values of ADC and pO(2) from a series of measurements. The measurement uncertainties are also analytically derived and used to find an optimal measurement scheme. The technique was first tested on a phantom model, and then on an in vivo normal pig experiment. A case study was performed on a COPD patient, which showed that in a region of interest ADC was 29% higher while oxygen depletion rate was 61% lower than the corresponding global average values.

摘要

超极化³He(HP³He)磁共振成像(MRI)有望以敏感、局部且无创的方式评估肺部的结构和功能参数。结构HP³He MRI已应用表观扩散系数(ADC)来检测肺泡水平上疾病引起的肺微结构变化,而HP³He肺氧分压(pO₂)成像则测量肺与血流之间的氧转移效率。尽管这两个参数在慢性阻塞性肺疾病(COPD)中都会受到影响,但文献中尚未报道对这两个参数区域相关性的定量评估。在这项工作中,提出了一种同时测量ADC和pO₂的单次采集技术。该技术基于多元回归方法,其中使用通用线性估计器从一系列测量中检索ADC和pO₂的值。还通过分析得出测量不确定度,并用于找到最佳测量方案。该技术首先在体模模型上进行测试,然后在正常猪体内实验中进行测试。对一名COPD患者进行了案例研究,结果表明,在感兴趣区域,ADC比相应的全局平均值高29%,而氧耗竭率比相应的全局平均值低61%。

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