Adapted Linear Binning Method to Assess Pulmonary Ventilation and Perfusion in Children Using Lung Matrix Pencil...

Area of Science:

• Medical Imaging
• Pulmonology
• Quantitative MRI

Background:

• Functional lung MRI provides insights into lung physiology.
• Matrix-pencil decomposition (MP)-MRI is an advanced technique for functional lung imaging.
• Accurate quantitative analysis of MP-MRI data is crucial for clinical applications.

Purpose of the Study:

• To adapt and validate a linear binning technique for MP-MRI.
• To establish reference bins for normal, low, and defect lung regions using a large dataset.
• To evaluate the method's accuracy, discriminatory power, and sensitivity to treatment effects in cystic fibrosis (CF).

Main Methods:

• A linear binning technique, originally for hyper-polarized 129Xe MRI, was adapted for MP-MRI.
• Reference bins were defined from 154 healthy children's MP-MRI scans.
• The method was validated on datasets of healthy children (HC) and children with CF, including pre- and post-treatment evaluations.

Main Results:

• The adapted linear binning showed significantly higher percentages of defect and low lung regions in children with CF compared to HC (p < 0.0001).
• The method demonstrated high discriminatory power (AUCs > 0.85), comparable to standard median-thresholding.
• Linear binning revealed nuanced treatment effects, indicating perfusion improvement was limited to the 'low' category post-therapy, unlike standard thresholding.

Conclusions:

• A validated linear binning method for MP-MRI was successfully developed.
• This technique provides a robust, data-driven reference for functional lung analysis.
• The method advances functional lung image processing and offers granular insights into disease and treatment.