Voxelwise mapping of magnetic resonance ventilation-perfusion ratio in a porcine model by multimodality registration: Technical note

Ichiro Hasegawa, Hidemasa Uematsu, James C. Gee, Peter Rogelj, Hee Kwon Song, Masashi Nakatsu, Masaya Takahashi, Warren B. Gefter, Hiroto Hatabu

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Rationale and Objectives. The purpose of this study was to demonstrate the construction of voxelwise ventilation-perfusion (V/Q) ratio maps in a porcine model by nonrigidly aligning the respective ventilation and perfusion images using a multimodality registration algorithm. Materials and Methods. The first-pass contrast agent technique for a blood flow map and 3He used for ventilation imaging were performed using a normal porcine model. The registered 3He-ventilation image was then aligned to the blood flow map using a multimodality registration algorithm. The voxelwise V/Q ratios were calculated by dividing the registered 3He-ventilation image by the blood flow map. The V/Q ratios were also semi-logarithmically scatter-plotted against the number of voxels. Results. From perfusion magnetic resonance images, a voxel-by-voxel blood flow map was produced. Registered 3He ventilation image was successfully obtained as well as V/Q ratio map. Plots of the V/Q ratios obtained by this registration approach were similar to the logarithmic normal distribution. Conclusion. Registration of MR perfusion and ventilation images can potentially enable quantitative evaluation of regional pulmonary function and thus yield deeper insight into the physiology and pathophysiology of the lung.

Original languageEnglish (US)
Pages (from-to)1091-1096
Number of pages6
JournalAcademic radiology
Volume10
Issue number10
DOIs
StatePublished - Oct 1 2003

Keywords

  • Blood flow
  • He ventilation
  • Lung
  • Magnetic resonance imaging (MRI)
  • Perfusion
  • Registration
  • Ventilation-perfusion (V/Q) ratio

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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