Consistent and Elastic Registration of Histological Sections Using Vector-Spline Regularization

Abstract

El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription Abstract. Here we present a new image registration algorithm for the alignment of histological sections that combines the ideas of B-spline based elastic registration and consistent image registration, to allow simultaneous registration of images in two directions (direct and inverse). In principle, deformations based on B-splines are not invertible. The consistency term overcomes this limitation and allows registration of two images in a completely symmetric way. This extension of the elastic registration method simplifies the search for the optimum deformation and allows registering with no information about landmarks or deformation regularization. This approach can also be used as the first step to solve the problem of group-wise registration. . . .

Macroscopic stiffening of embryonic tissues via microtubules, RhoGEF and the assembly of contractile bundles of actomyosin

“…Cell traction forces are often calculated from the displacements of individual beads bound within an ECM-conjugated polyacrylamide gel (Kandow et al, 2007); however, rather than track individual beads we used a method to track the displacement of parcels of gel using registration-based image analysis (Arganda-Carreras et al, 2006). Briefly, two-channel confocal time-lapse sequences were collected of cells within tissues expressing a membranetargeted GFP cultured on a FN-PAG.…”

“…In order to determine the magnitude of traction forces exerted by cells within a tissue explant, we chose to measure gel displacements from the start of the time-lapse sequence rather than from a cell-free state of the gel . Registration analysis calculates a displacement field needed to bring two images into alignment (Arganda-Carreras et al, 2006). The displacement field includes both x-and y-displacements for each pixel in the original image and the distribution of traction forces can be evaluated like any intensity-based image (Russ, 1999).…”

Thin Layer Chromatography and Chemometric Studies of Selected <i>Potentilla</i> Species

“…For this reason it is required to perform the alignment of chromatograms by warping. The warping was carried out using bUnwarpJ developed as an ImageJ plugin [22], previously used for TLC videoscans [23]. This is an algorithm for elastic and consistent image registration and it performs a simultaneous registration of two images, source image and target image (source image is elastically deformed in order to look as similar as it is possible to target image).…”

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

“…The displacements for loading the models were determined from the segmented preoperative and intraoperative cortical surfaces. The correspondences between the preoperative and intraoperative surfaces were determined by applying the vector-spline regularization algorithm described in [16] to the surface curvature maps.…”