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

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

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Hyperpolarized 3He (HP 3He) MRI shows promise to assess structural and functional pulmonary parameters in a sensitive, regional, and noninvasive way. Structural HP 3He MRI has applied the apparent diffusion coefficient (ADC) for the detection of disease-induced lung microstructure changes at the alveolar level, and HP 3He pulmonary partial pressure of oxygen (pO2) 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 pO2 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 pO2 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.

Original languageEnglish (US)
Pages (from-to)1015-1021
Number of pages7
JournalMagnetic resonance in medicine
Volume61
Issue number5
DOIs
StatePublished - May 2009

Keywords

  • Apparent diffusion coefficient
  • Hyperpolarized He MRI
  • Partial pressure of oxygenl multiple regression method

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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