You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
9 March 2010Tracking planar lung motion in 4D CT with optical flow: validations and comparison of global, local, and local-global methods
For a common set of 4D CT lung images, we report results from the application of a number of optical flow techniques
including global, local, and combined local-global methods for tracking planar lung motion. Our comparisons are
primarily empirical, and concentrate on the accuracy, that is magnitude and direction of error at a discrete set of
landmark points with known motions, and reliability, that is, objective lung boundary deformation tracking. Our results
indicate that performance varies significantly among the techniques tested.
Mohammadreza Negahdar andAmir A. Amini
"Tracking planar lung motion in 4D CT with optical flow: validations and comparison of global, local, and local-global methods", Proc. SPIE 7626, Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging, 762623 (9 March 2010); https://doi.org/10.1117/12.846003
The alert did not successfully save. Please try again later.
Mohammadreza Negahdar, Amir A. Amini, "Tracking planar lung motion in 4D CT with optical flow: validations and comparison of global, local, and local-global methods," Proc. SPIE 7626, Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging, 762623 (9 March 2010); https://doi.org/10.1117/12.846003