CalibrateDSX: The Importance of Image Smoothing and Downsampling: Difference between revisions
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[[File:CalDSX_KneeEdges.png|600px]] | [[File:CalDSX_KneeEdges.png|600px]] | ||
Smoothed (left), | Smoothed 5x5, sigma = 2.0 (left), scaled 0.5 (right): | ||
[[File:CalDSX_KneeSmoothed.png|600px]] | [[File:CalDSX_KneeSmoothed.png|600px]] | ||
[[File:CalDSX_KneeResized.png|600px]] | [[File:CalDSX_KneeResized.png|600px]] | ||
Smoothed and | Smoothed 5x5, sigma = 2.0 and scaled 0.5: | ||
[[File:CalDSX_KneeSmoothedResized.png|600px]] | [[File:CalDSX_KneeSmoothedResized.png|600px]] | ||
'''Example: Cervical Spine''' | |||
These images were captured at the Biodynamics Lab at the University of Pittsburgh. They are 14-bit grayscale with a resolution of 1824x1800 pixels. | |||
Original and edge-detected: | |||
[[File:CalDSX_CSpineOriginal.png|600px]] | |||
[[File:CalDSX_CSpineEdges.png|600px]] | |||
Smoothed 5x5, sigma = 2.0 (left), scaled 0.5 (right): | |||
[[File:CalDSX_CSpineSmoothed.png|600px]] | |||
[[File:CalDSX_CSpineResized.png|600px]] | |||
Smoothed 5x5, sigma = 2.0 and scaled 0.5: | |||
[[File:CalDSX_CSpineSmoothedResized.png|600px]] | |||
'''Example: LumbarSpine''' | |||
These images were captured at the Biodynamics Lab at the University of Pittsburgh. They are 14-bit grayscale with a resolution of 1824x1800 pixels. | |||
Original and edge-detected: | |||
[[File:CalDSX_LumbarOriginal.png|600px]] | |||
[[File:CalDSX_LumbarEdges.png|600px]] | |||
Smoothed 7x7, sigma = 4.0 (left), scaled 0.33 (right): | |||
[[File:CalDSX_LumbarSmoothed.png|600px]] | |||
[[File:CalDSX_LumbarResized.png|600px]] | |||
Smoothed 7x7, sigma = 4.0 and scaled 0.33: | |||
[[File:CalDSX_LumbarSmoothedResized.png|600px]] |
Revision as of 17:41, 19 January 2021
DRR-based tracking of bones in X-ray images relies heavily on the brightness of the bones' edges in the edge-detected images. Smoothing and/or resizing the images during correction increases their signal-to-noise ratio, resulting in brighter edges. Some amount of smoothing or resizing is almost always needed to maximize the trackability of the bones.
Example: Knee
These images were captured at the Biodynamics Lab at the University of Pittsburgh. They are 14-bit grayscale with a resolution of 1824x1800 pixels.
Original and edge-detected:
Smoothed 5x5, sigma = 2.0 (left), scaled 0.5 (right):
Smoothed 5x5, sigma = 2.0 and scaled 0.5:
Example: Cervical Spine
These images were captured at the Biodynamics Lab at the University of Pittsburgh. They are 14-bit grayscale with a resolution of 1824x1800 pixels.
Original and edge-detected:
Smoothed 5x5, sigma = 2.0 (left), scaled 0.5 (right):
Smoothed 5x5, sigma = 2.0 and scaled 0.5:
Example: LumbarSpine
These images were captured at the Biodynamics Lab at the University of Pittsburgh. They are 14-bit grayscale with a resolution of 1824x1800 pixels.
Original and edge-detected:
Smoothed 7x7, sigma = 4.0 (left), scaled 0.33 (right):
Smoothed 7x7, sigma = 4.0 and scaled 0.33: