Lung segmentation: easier and faster thanks to new algorithms

Interview with Dr. Anja Braune (Postdoctoral Research Fellow) and Professor Marcelo Gama de Abreu (Director of Research), Department of Anesthesiology and Intensive Care Therapy - Pulmonary Engineering Group, University Hospital Carl Gustav Carus Dresden

10/01/2018

Image: smiling woman with brunette hair - Dr. Anja Braune; Copyright: privat

Dr. Anja Braune

Image: smiling man with suit and glasses - Prof. Marcelo Gama de Abreu; Copyright: privat

Prof. Marcelo Gama de Abreu

Image: graphical steps of lung segmentation; Copyright: Universitätsklinikum Carl Gustav Carus/A. Braune

left: CT image of the thorax without segmentation; mi: Result of lung segmentation (red) after evaluation of Hounsfield units within the thorax; right: Result of lung segmentation including anatomical properties of the lung such as limitation by heart (blue) and ribs (green).

Image: several persons discussing in front of a screen; Copyright: BTU

Test run of the optimized computer program DICOM-Analyser (from right): Dr. Anja Braune, Prof. Ingrid Bönninger, Nico Gerhardt, Igor Nesterow, Tobias Steinmetzer.

Image: Elena Blume; Copyright: C. Schmitt

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