Abstract #3970
Automated Registration-Segmentation Pipeline to Generate Lobar Ventilation Measurements in Diffuse and Localized Bronchiectasis
Sarah Svenningsen 1,2 , Fumin Guo 1,3 , Roya Etemad-Rezai 4 , David G McCormack 5 , and Grace Parraga 1,2
1
Imaging Research Laboratories, Robarts
Research Institute, London, Ontario, Canada,
2
Department
of Medical Biophysics, The University of Western
Ontario, London, Ontario, Canada,
3
Graduate
Program in Biomedical Engineering, The University of
Western Ontario, London, Ontario, Canada,
4
Department
of Medical Imaging, The University of Western Ontario,
London, Ontario, Canada,
5
Division
of Respirology, Department of Medicine, The University
of Western Ontario, London, Ontario, Canada
MRI provides a way to generate a rich mosaic of regional
ventilation measurements that enable regional
quantification of pulmonary functional abnormalities and
their response to therapy. Until now, respiratory
intermediate endpoints have relied on global lung
function measurements, although in general respiratory
disease is regionally heterogeneous. Accordingly, our
objective was to provide a way to regionally quantify
lobar lung ventilation measurements in bronchiectasis
patients using an automated registration-segmentation
pipeline. For patients with localized bronchiectasis,
regional measurements of ventilation were significantly
worse in lobes with CT evidence of bronchiectasis. These
regional measurements provide a novel intermediate
endpoint for therapy studies.
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