Computer-Aided Detection in Screening CT for Pulmonary Nodules
Ren Yuan1,
Patrick M. Vos2 and
Peter L. Cooperberg2
1 Department of Radiology, Vancouver General Hospital, Vancouver, British
Columbia, V5Z 1M9 Canada.
2 Department of Radiology, St. Paul's Hospital, 1081 Burrard St., Vancouver,
British Columbia, V6Z 1Y6 Canada.

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Fig. 1 Computer-aided detection workstation user interface. Transaxial
section at middle lung zone level contains lesion highlighted by green circle
(right image panel). Yellow line indicates anatomic level of displayed section
in coronal maximum intensity projection of pulmonary vascular tree (left upper
image panel). 3D volume rendering (left lower image panel) of lesion displays
anatomic location of lesion and relationship between lesion and surrounding
structures (e.g., vessels and pleura).
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Fig. 3A Small solid nodules (< 4 mm; CTpeak > -100 H) were
missed by computer-aided detection because of size algorithm. Some were in
contact with the pleura (A) or vessels (B).
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Fig. 3B Small solid nodules (< 4 mm; CTpeak > -100 H) were
missed by computer-aided detection because of size algorithm. Some were in
contact with the pleura (A) or vessels (B).
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Fig. 5 Computer-aided detection (CAD) failed to detect large nodules (>
10 mm), presumably due to segmentation algorithm. Nodules contacted pleura (in
circle) and normal intrapulmonary structures and therefore were extracted by
CAD segmentation algorithm.
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Fig. 6 Detection sensitivity between computer-aided detection (CAD) and
radiologist in nodules at different locations.
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Fig. 7A Transverse CT section shows computer-aided detection false-positive
detections (in circle), which were vessels (A) or the pleura
(B).
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Fig. 7B Transverse CT section shows computer-aided detection false-positive
detections (in circle), which were vessels (A) or the pleura
(B).
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Copyright © 2006 by the American Roentgen Ray Society.