An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation

• Published in: International journal of biomedical imaging Vol. 2019; no. 2019; pp. 1 - 14
• Main Authors: Turaga, Pavan, Nair, Priya, Das, Dhritiman, Kanberoglu, Berkay, Frakes, David
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01-01-2019; Hindawi; Hindawi Limited
• Subjects: Aneurysms; Anisotropy; Biomedical data; Computer terminals; Divergence; Flow velocity; Fluid dynamics; Fluid flow; Image acquisition; Interpolation; Medical imaging; Methods; Optical flow (image analysis); Optics; Pedestrians; Tomography; Velocimetry; Velocity measurement
• ISSN: 1687-4188; 1687-4196
• DOI: 10.1155/2019/9435163

Three-dimensional (3D) biomedical image sets are often acquired with in-plane pixel spacings that are far less than the out-of-plane spacings between images. The resultant anisotropy, which can be detrimental in many applications, can be decreased using image interpolation. Optical flow and/or other registration-based interpolators have proven useful in such interpolation roles in the past. When acquired images are comprised of signals that describe the flow velocity of fluids, additional information is available to guide the interpolation process. In this paper, we present an optical-flow based framework for image interpolation that also minimizes resultant divergence in the interpolated data.