Automatic Detection and Quantification of Ground-Glass Opacities on High-Resolution CT Using Multiple Neural Networks
Comparison with a Density Mask
Hans-Ulrich Kauczor1,
Kjell Heitmann1,2,
Claus Peter Heussel1,
Dirk Marwede1,3,
Thomas Uthmann2 and
Manfred Thelen1
1
Department of Radiology, Johannes Gutenberg-University Mainz, Langenbeckstr.
1, 55131 Mainz, Germany.
2
Institute of Computer Science, Johannes Gutenberg-University Mainz, Staudinger
Weg 9, 55128 Mainz, Germany.
3
Institut für Radiologie,
Universitätsklinikum
Lübeck, Ratzeburger Allee 160, 23538
Lübeck, Germany.

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Fig. 1A. 49-year-old female patient with acute respiratory distress
syndrome. Source image shows extensive ground-glass opacities and
consolidation.
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Fig. 1B. 49-year-old female patient with acute respiratory distress
syndrome. Image with segmentation by neural network shows extensive
ground-glass opacities in green with concentration in core areas. Pulmonary
vessels, pleura, and consolidations are clearly delineated and not categorized
as ground-glass opacities.
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Fig. 1C. 49-year-old female patient with acute respiratory distress
syndrome. Image with segmentation by density mask shows extensive ground-glass
opacities in green. False-positive segmentations are found at borders toward
pleura and bronchial walls.
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Fig. 2A. 43-year-old female patient with pneumonia. Source image shows
ground-glass opacities in left upper and left lower lobes, indicating
pneumonia. Note dependent opacities in right lower lobe and partial volume
effect in right upper lobe.
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Fig. 2B. 43-year-old female patient with pneumonia. Image with
segmentation by neural network shows ground-glass opacities in green,
indicating pneumonia, dependent opacities, and partial volume. Note
false-positive segmentation of fissure on right side.
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Fig. 2C. 43-year-old female patient with pneumonia. Image with
segmentation by density mask shows ground-glass opacities and all peripheral
airtissue interfaces (false-positive findings) in green.
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Fig. 3A. 27-year-old male patient with suspected pneumonia. Source
image does not show ground-glass opacities.
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Fig. 3B. 27-year-old male patient with suspected pneumonia. Image with
segmentation by neural network shows small partial volume effects at pleura
and vascular borders (false-positive findings) in green.
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Fig. 3C. 27-year-old male patient with suspected pneumonia.
Segmentation by density mask shows airtissue interfaces, peripheral
pulmonary structures, and bronchial walls (false-positive findings) in
green.
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