Modeling contrast agent dynamics in the lung: effects of tissue volume fractions and intercompartmental water exchange in pulmonary DCE-MRI

Motivation: In vivo characterization of pulmonary perfusion and microvascular parameters could aid in the understanding of the pathophysiology underlying fibrotic lung disease. Goal(s): We propose a lung-specific pharmacokinetic model (2C3XF) for modeling DCE-MRI signal. Approach: Sensitivity analysis of the 2C3XF model parameters and fitting in the presence of noise were assessed using simulated data. Regional and full-slice parameter fits were performed for a human subject with fibrotic lung disease. Results: Simulation results showed improved performance of the 2C3XF model in comparison to E-Tofts. In vivo results showed good agreement with literature values. Impact: The proposed model provides an analytical tool for absolute quantification of pulmonary perfusion and microvascular parameters in the lung and could enable improved patient care and treatment development in the setting of fibrotic lung disease.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0741
Primary Topic
Atomic and Subatomic Physics Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Modeling contrast agent dynamics in the lung: effects of tissue volume fractions and intercompartmental water exchange in pulmonary DCE-MRI

Peter Caravan, Joshua Marchant, Iris Y. Zhou, Bruce Rosen
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Atomic and Subatomic Physics Research
article

Modeling contrast agent dynamics in the lung: effects of tissue volume fractions and intercompartmental water exchange in pulmonary DCE-MRI

Peter Caravan, Joshua Marchant, Iris Y. Zhou, Bruce Rosen
article en

Abstract

Motivation: In vivo characterization of pulmonary perfusion and microvascular parameters could aid in the understanding of the pathophysiology underlying fibrotic lung disease. Goal(s): We propose a lung-specific pharmacokinetic model (2C3XF) for modeling DCE-MRI signal. Approach: Sensitivity analysis of the 2C3XF model parameters and fitting in the presence of noise were assessed using simulated data. Regional and full-slice parameter fits were performed for a human subject with fibrotic lung disease. Results: Simulation results showed improved performance of the 2C3XF model in comparison to E-Tofts. In vivo results showed good agreement with literature values. Impact: The proposed model provides an analytical tool for absolute quantification of pulmonary perfusion and microvascular parameters in the lung and could enable improved patient care and treatment development in the setting of fibrotic lung disease.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 81%
Atomic and Subatomic Physics Research
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Modeling contrast agent dynamics in the lung: effects of tissue volume fractions and intercompartmental water exchange in pulmonary DCE-MRI — Peter Caravan, Joshua Marchant, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS