0000000001157591

AUTHOR

Sabine Dettmer

showing 1 related works from this author

Deep semantic lung segmentation for tracking potential pulmonary perfusion biomarkers in chronic obstructive pulmonary disease (COPD): The multi‐ethn…

2019

Background Chronic obstructive pulmonary disease (COPD) is associated with high morbidity and mortality. Identification of imaging biomarkers for phenotyping is necessary for future treatment and therapy monitoring. However, translation of visual analytic pipelines into clinics or their use in large-scale studies is significantly slowed by time-consuming postprocessing steps. Purpose To implement an automated tool chain for regional quantification of pulmonary microvascular blood flow in order to reduce analysis time and user variability. Study type Prospective. Population In all, 90 MRI scans of 63 patients, of which 31 had a COPD with a mean Global Initiative for Chronic Obstructive Lung …

Intraclass correlationConcordancePopulation030218 nuclear medicine & medical imagingPulmonary Disease Chronic Obstructive03 medical and health sciences0302 clinical medicinemedicineHumansRadiology Nuclear Medicine and imagingProspective StudieseducationLungCOPDeducation.field_of_studyLungmedicine.diagnostic_testbusiness.industryBlood flowAtherosclerosismedicine.diseaseMagnetic Resonance ImagingObstructive lung diseaseSemanticsPerfusionmedicine.anatomical_structureAngiographybusinessNuclear medicineBiomarkersJournal of Magnetic Resonance Imaging
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