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Deep-Learning-Based Automated Quantification of Ventilation Defects on 3d Isotropic Hyperpolarized 129xe Lung MRI

2023-09-08

Abstract excerpt

Semi-automated-segmentation quantifies non-isotropic 129Xe lung images in order to provide the ventilation-defect-percent (VDP), but this method is not ideally suited for 3D-isotropic-voxel analysis. 3D-isotropic-voxel 129Xe images can be used to calculate semi-automated and deep learning-based automated VDP values for lung disease assessment.  We aimed to develop a fully-automated deep learning-based (DL) segment...

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Literature Corpus work
bbb90d42-9857-5184-90fc-2c061aef7ff6
DOI
10.2139/ssrn.4562884
Open publication

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Deep-Learning-Based Automated Quantification of Ventilation Defects on 3d Isotropic Hyperpolarized 129xe Lung MRIDOI 10.2139/ssrn.4562884
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