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.
19 November 2013Optical flow estimation of the heart's short axis view using a perceptual approach
This article describes a perceptual approach to calculate the optical flow estimation of the left ventricle in a short axis view of the heart in computer tomography images. The method is based on the the Hermite transform which is an image representation model that incorporates some of the more important properties of the first stages of the human visual system. Our optical flow estimation approach incorporates a differential approach that uses the steered Hermite coefficients as local constraints and uses the implicit multiresolution scheme of the Hermite transform to compute large displacements. It also involves several of the constraints seen in the current differential methods which allows obtaining an accurate optical flow. We use the anatomic short axis view of the heart to calculate the optical flow estimation instead of the original CT images of the axial plane. This view allows visualizing the left ventricle like a circular structure, which is more suitable for visualization of the left ventricle motion.
The alert did not successfully save. Please try again later.
Ernesto Moya-Albor, Boris Escalante-Ramírez, Enrique Vallejo, "Optical flow estimation of the heart's short axis view using a perceptual approach," Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 892206 (19 November 2013); https://doi.org/10.1117/12.2041960