Correlation of measures of regional lung ventilation from 4DCT vs. hyperpolarized helium-3 MR

Kai Ding; Kunlin Cao; Wilson Miller; Gary Christensen; Joseph Reinhardt; Stanley Benedict; Bruce Libby; Ke Sheng

doi:10.1117/12.912793

5 April 2012 Correlation of measures of regional lung ventilation from 4DCT vs. hyperpolarized helium-3 MR

Kai Ding, Kunlin Cao, Wilson Miller, Gary Christensen, Joseph Reinhardt, Stanley Benedict, Bruce Libby, Ke Sheng

Proceedings Volume 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging; 83171E (2012) https://doi.org/10.1117/12.912793
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Radiation induced pulmonary diseases can change the tissue material properties of lung parenchyma and the mechanics of the respiratory system. Recent advances in multi-detector-row CT (MDCT), 4DCT respiratory gating methods, and image processing techniques enable us to follow and measure those changes noninvasively during radiation therapy at a regional level. This study compares the 4DCT based ventilation measurement with the results from hyperpolarized helium-3 MR using the cumulative distribution function maps and the relative overlap (RO) statistic. We show that the similarity between the two measurements increases as the increase of the B-Spline grid spacing and Laplacian weighting which result a smoother ventilation map. The best similarity is found with weighting of 0.5 for linear elasticity and B-Spline grid spacing of 32 mm. Future work is to improve the lung image registration algorithm by incorporating hyperpolarized helium-3 MR information so as to improve its physiological modeling of the lung tissue deformation.

Citation Download Citation

Kai Ding, Kunlin Cao, Wilson Miller, Gary Christensen, Joseph Reinhardt, Stanley Benedict, Bruce Libby, and Ke Sheng "Correlation of measures of regional lung ventilation from 4DCT vs. hyperpolarized helium-3 MR", Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 83171E (5 April 2012); https://doi.org/10.1117/12.912793

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