Deep Learning Approaches for Quantifying Ventilation Defects in Hyperpolarized Gas Magnetic Resonance Imaging of the Lung: A Review.

Babaeipour, Ramtin; Ouriadov, Alexei; Fox, Matthew S

Babaeipour, Ramtin; Ouriadov, Alexei; Fox, Matthew S.

Affiliation

Babaeipour R; School of Biomedical Engineering, Faculty of Engineering, The University of Western Ontario, London, ON N6A 3K7, Canada.
Ouriadov A; School of Biomedical Engineering, Faculty of Engineering, The University of Western Ontario, London, ON N6A 3K7, Canada.
Fox MS; Department of Physics and Astronomy, The University of Western Ontario, London, ON N6A 3K7, Canada.

Bioengineering (Basel) ; 10(12)2023 Nov 23.

Article in En | MEDLINE | ID: mdl-38135940

Key words

Magnetic Resonance Imaging (MRI); chronic obstructive pulmonary disease (COPD); deep learning; hyperpolarized gas MRI; lung imaging; segmentation; ventilation defect

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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Bioengineering (Basel) Year: 2023 Document type: Article Affiliation country: Canada Country of publication: Switzerland

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