Evaluating Perfusion Quantification for Phase‐Resolved Functional Lung MRI Using Gaussian Filtering

ABSTRACT Phase‐resolved functional lung (PREFUL) MRI enables contrast‐free lung perfusion quantification (Q Quant ). Current quantification uses a single median value per slice of maximal blood exchange fraction (ΔS), which limits regional assessment, whereas regional ΔS causes artifacts. This retrospective study aims to optimize Q Quant by applying Gaussian filtering to ΔS to improve intrascan/interscan repeatability in healthy volunteers, while evaluating whether the optimized Q Quant retains agreement with dynamic contrast‐enhanced (DCE) MRI in chronic obstructive pulmonary disease (COPD) and chronic thromboembolic pulmonary hypertension (CTEPH) patients and exhibits a physiologically plausible gravity‐dependent perfusion gradient. Analysis was performed on 29 healthy subjects (11 female, age: 19–33 years), 20 COPD patients (three female, age: 46–76 years) and 15 CTEPH patients (six female, age: 44–82 years), scanned at 1.5 T. Healthy subjects underwent four PREFUL scans in two sessions. Patients just underwent one PREFUL and DCE scan. Q Quant maps were calculated while applying different Gaussian filter options to ΔS. In patients, PREFUL‐derived Q Quant maps were coregistered to DCE‐derived pulmonary blood flow (PBF) maps for global and voxel‐wise correlations. In healthy subjects, the gravity‐dependent perfusion gradient was quantified by linear regression of slice‐wise Q Quant across five coronal slices. Gaussian filtering ΔS with σ = 1.5 improved intrascan and interscan repeatability in healthy subjects (mean bias: ≤ 2.94 mL/100 mL; Cohen's d : 0.2) compared with the current slice median setting (mean bias: ≥ 3.75 mL/100 mL; Cohen's d : 0.68). Correlations with PBF remained stable after filtering (σ = 1.5) in COPD (filtered vs. default ΔS: global r = 0.57 vs. r = 0.59, voxel‐wise r = 0.32 vs. r = 0.32) and CTEPH (global r = 0.32 vs. r = 0.28, voxel‐wise r = 0.40 vs. r = 0.41), all significant except global CTEPH. The filtered Q Quant maps showed a significant gravity‐dependent perfusion gradient (ΔS filtered σ = 1.5) of 1.47 mL/min/100 mL/cm. Gaussian filtering ΔS with σ = 1.5 improved Q Quant repeatability while preserving DCE‐MRI agreement and is therefore recommended. The observed gravity‐dependent perfusion gradient confirms physiological plausibility, supporting potential in clinical use.

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Publication Details

Journal
NMR in Biomedicine
Published
2026-10-13
DOI
https://doi.org/10.1002/nbm.70420
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluating Perfusion Quantification for Phase‐Resolved Functional Lung MRI Using Gaussian Filtering

Kirsten Johanna Schmidt, Marius Wernz, Filip Klimeš, Julian Glandorf et al.
NMR in Biomedicine
Advanced MRI Techniques and Applications
article

Evaluating Perfusion Quantification for Phase‐Resolved Functional Lung MRI Using Gaussian Filtering

Kirsten Johanna Schmidt, Marius Wernz, Filip Klimeš, Julian Glandorf, Andreas Voskrebenzev, Lea Behrendt, Jens Vogel‐Claussen, Frank K. Wacker
article en

Abstract

ABSTRACT Phase‐resolved functional lung (PREFUL) MRI enables contrast‐free lung perfusion quantification (Q Quant ). Current quantification uses a single median value per slice of maximal blood exchange fraction (ΔS), which limits regional assessment, whereas regional ΔS causes artifacts. This retrospective study aims to optimize Q Quant by applying Gaussian filtering to ΔS to improve intrascan/interscan repeatability in healthy volunteers, while evaluating whether the optimized Q Quant retains agreement with dynamic contrast‐enhanced (DCE) MRI in chronic obstructive pulmonary disease (COPD) and chronic thromboembolic pulmonary hypertension (CTEPH) patients and exhibits a physiologically plausible gravity‐dependent perfusion gradient. Analysis was performed on 29 healthy subjects (11 female, age: 19–33 years), 20 COPD patients (three female, age: 46–76 years) and 15 CTEPH patients (six female, age: 44–82 years), scanned at 1.5 T. Healthy subjects underwent four PREFUL scans in two sessions. Patients just underwent one PREFUL and DCE scan. Q Quant maps were calculated while applying different Gaussian filter options to ΔS. In patients, PREFUL‐derived Q Quant maps were coregistered to DCE‐derived pulmonary blood flow (PBF) maps for global and voxel‐wise correlations. In healthy subjects, the gravity‐dependent perfusion gradient was quantified by linear regression of slice‐wise Q Quant across five coronal slices. Gaussian filtering ΔS with σ = 1.5 improved intrascan and interscan repeatability in healthy subjects (mean bias: ≤ 2.94 mL/100 mL; Cohen's d : 0.2) compared with the current slice median setting (mean bias: ≥ 3.75 mL/100 mL; Cohen's d : 0.68). Correlations with PBF remained stable after filtering (σ = 1.5) in COPD (filtered vs. default ΔS: global r = 0.57 vs. r = 0.59, voxel‐wise r = 0.32 vs. r = 0.32) and CTEPH (global r = 0.32 vs. r = 0.28, voxel‐wise r = 0.40 vs. r = 0.41), all significant except global CTEPH. The filtered Q Quant maps showed a significant gravity‐dependent perfusion gradient (ΔS filtered σ = 1.5) of 1.47 mL/min/100 mL/cm. Gaussian filtering ΔS with σ = 1.5 improved Q Quant repeatability while preserving DCE‐MRI agreement and is therefore recommended. The observed gravity‐dependent perfusion gradient confirms physiological plausibility, supporting potential in clinical use.

NMR in BiomedicineVol. 39(11)
Medizinische Hochschule Hannover (DE), Humboldt-Universität zu Berlin (DE), German Center for Lung Research (DE), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE)
Deutsches Zentrum für Lungenforschung
Openalex Percentile: Top 13%
Advanced MRI Techniques and Applications
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