Overview of the reconstruction and analysis process for the proposed single-breath imaging method. A Gas, B Dissolved, and C
1H raw data are acquired in a single breath-hold. (i) Gas and 1H data are subsampled to generate both low-resolution and high-resolution datasets. (ii) Data are reconstructed using a narrow reconstruction kernel (Ventilation Image) or a broad reconstruction kernel (dissolved image, low resolution gas). (iii) High and low spatial resolution masks are generated from 1H images using a Deep Learning segmentation algorithm. (iv) Dissolved and low-resolution gas images are used to separate the membrane and RBC constituents of dissolved images. (v) Gas (high resolution), membrane/gas, and RBC/gas images are quantitatively analyzed using previously published methods.