Paper
10 March 2006 Optical flow based interpolation of temporal image sequences
Jan Ehrhardt, Dennis Säring, Heinz Handels
Author Affiliations +
Abstract
Modern tomographic imaging devices enable the acquisition of temporal image sequences. In our project, we study cine MRI sequences of patients with myocardial infarction. Because the sequences are acquired with different temporal resolutions, a temporal interpolation is necessary to compare images at predefined phases of the cardiac cycle. This paper presents an interpolation method for temporal image sequences. We derive our interpolation scheme from the optical flow equation. The spatiotemporal velocity field between the images is determined using an optical flow based registration method. Here, an iterative algorithm is applied, using the spatial and temporal image derivatives and a spatiotemporal smoothing step. Afterwards, the calculated velocity field is used to generate an interpolated image at the desired time by averaging intensities between corresponding points. The behavior and capability of the algorithm is demonstrated by synthetic image examples. Furthermore, quantitative measures are calculated to compare this optical flow based interpolation method to linear interpolation and shape-based interpolation in 5 cine MRI data sets. Results indicate that the presented method outperforms both linear and shape-based interpolation significantly.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jan Ehrhardt, Dennis Säring, and Heinz Handels "Optical flow based interpolation of temporal image sequences", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61442K (10 March 2006); https://doi.org/10.1117/12.652559
Lens.org Logo
CITATIONS
Cited by 10 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optical flow

Image registration

Magnetic resonance imaging

Medical imaging

Temporal resolution

Tomography

Algorithm development

RELATED CONTENT


Back to Top