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Related Experiment Video

Updated: Jun 8, 2026

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

The lung physiome: merging imaging-based measures with predictive computational models.

Merryn H Tawhai1, Eric A Hoffman2, Ching-Long Lin3

  • 1Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.

Wiley Interdisciplinary Reviews. Systems Biology and Medicine
|September 14, 2010
PubMed
Summary
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This study introduces the digital Human Lung Atlas, a resource for understanding regional lung function. It integrates structural and functional data with computational models for personalized lung disease prediction.

Area of Science:

  • Pulmonary Medicine
  • Computational Biology
  • Medical Imaging

Background:

  • Standard pulmonary function tests lack regional lung insights.
  • Multidisciplinary research leverages imaging and simulation for lung structure-function studies.

Purpose of the Study:

  • To present the digital Human Lung Atlas as an image-based resource.
  • To detail the integration of structural, functional, and computational data for personalized lung function prediction.

Main Methods:

  • Compiled structural and functional data from diverse subjects for the digital Human Lung Atlas.
  • Developed subject-specific computational models for personalized lung function prediction.
  • Outlined methods for multiscale airway geometry modeling and turbulent flow simulation.

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Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
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Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

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Last Updated: Jun 8, 2026

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Main Results:

  • The digital Human Lung Atlas provides a foundation for integrative lung models.
  • Computational models offer mechanistic interpretation of imaging data.
  • Subject-specific airflow simulations demonstrate personalized lung function analysis.

Conclusions:

  • The digital Human Lung Atlas and Lung Physiome project advance understanding of lung structure-function relationships.
  • Integrative computational models are crucial for personalized lung disease prediction and mechanistic interpretation.
  • Subject-specific modeling enables detailed analysis of regional lung function, including airflow dynamics.