Biomedical Image Registration by Elastic Warping
نویسنده
چکیده
Given two images f1 , f2 representing the same object, we want to identify geometric correspondences between homologous features in both images. Specifically, we want to find a correspondence function (also called deformation function or deformation field) g(x1)=x2 , where x1 ,x2 are matching coordinates in images f1 , f2 . Here, we intend to concentrate on a non-linear registration (also called elastic matching), characterised by the non-linearity of the function g(x1) .
منابع مشابه
Handwritten Character Recognition Using Piecewise Linear Two-Dimensional Warping
In this paper, the effectiveness of piecewise linear two-dimensional warping, a dynamic programming-based elastic image matching technique, in handwritten character recognition is investigated. The present technique is capable of providing compensation for most variations in character patterns while its computation remains tractable. The superiority of the present technique over several convent...
متن کاملOn Validation of Non-physical Techniques for Elastic Image Registration
Non-physical techniques for elastic image registration such as different spline-based optimization methods are often applied in biomedical applications for image normalization w.r.t. non-rigid transformations. Since mechanical properties of biological structures to be registered are usually unknown, a ”ground truth” validation of the results of image registration is not possible. This article p...
متن کاملCurl-gradient Image Warping - Introducing Deformation Potentials for Medical Image Registration using Helmholtz Decomposition
Image registration is becoming an increasingly important tool in medical image analysis, and the need to understand deformations within and between subjects often requires analysis of obtained deformation fields. The current paper presents a novel representation of the deformation field based on the Helmholtz decomposition of vector fields. The two decomposed potential fields form a curl free f...
متن کاملLandmark-Guided Surface Matching and Volumetric Warping for Improved Prostate Biopsy Targeting and Guidance
We present a composite method for landmark-guided surface matching and volumetric non-rigid registration, with an application to prostate biopsy. The two-step method, based primarily on finite element and thin-plate spline techniques, consists of a boundary matching process, followed by a volumetric warping step. In practice, the boundary matching method allows for registration of anatomical su...
متن کامل3D volume reconstruction of a mouse brain from histological sections using warp filtering.
Sectioning tissues for optical microscopy often introduces upon the resulting sections distortions that make 3D reconstruction difficult. Here we present an automatic method for producing a smooth 3D volume from distorted 2D sections in the absence of any undistorted references. The method is based on pairwise elastic image warps between successive tissue sections, which can be computed by 2D i...
متن کامل