A method for non-rigidly deforming 3D PET datasets is described. The method uses a Lagrangian motion field description and a forward deformation mapping. To regularize the deformation, an anisotropic strain energy function is used that separately models the material properties of cardiac and background tissues. The method is applied to motion compensation in PET so that different time frames of...

Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) technique has proven to be a powerful tool for the monitoring of time-series ground deformations along the line-of-sight (LOS) direction. However, the one-dimensional (1-D) measurements cannot provide comprehensive information for interpreting the related geo-hazards. Recently, a novel method has been proposed to map the three-d...

The high-precision digital elevation model (DEM) is of great significance for improving the accuracy InSAR deformation monitoring. In today’s free opening multi-source DEM, there no consensus on how to select suitable DEMs assist in monitoring different landforms. This article introduces five types DEMs: ALOS12.5, SRTM-1, ASTER V3, AW3D30, and Copernicus 30, uses SBAS-InSAR technology analyze a...

In this note we explain how world-volume geometries of D-branes can be reconstructed within the microscopic framework where D-branes are described through boundary conformal field theory. We extract the (non-commutative) world-volume algebras from the operator product expansions of open string vertex operators. For branes in a flat background with constant non-vanishing B-field, the operator pr...

Since iris muscles control the size of the pupil, iris pattern shown in a captured iris image deforms significantly during pupil dilation/constriction. Daugman-based approaches assume the iris deformation is linear when mapping the iris to the polar rectangular format. However, iris deformation is not linear and in fact differs from person to person. To cope with the non-linear iris deformation...

Interferometric radar techniques often necessitate two-dimensional (2-D) phase unwrapping, defined here as the estimation of unambiguous phase data from a 2-D array known only modulo 2pi rad. We develop a maximum a posteriori probability (MAP) estimation approach for this problem, and we derive an algorithm that approximately maximizes the conditional probability of its phase-unwrapped solution...

Tracking tissue deformation is often hampered by material inhomogeneity, so local measurements tend to be insufficient thus lending to the necessity of full-field optical measurements. This study presents a novel approach to factoring heterogeneous deformation of soft and hard tissues in a fracture callus by introducing an anisotropic metric derived from the deformation gradient tensor (F). The...