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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 air—tissue 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 air—tissue interfaces, peripheral pulmonary structures, and bronchial walls (false-positive findings) in green.

 

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