Non-rigid registration computes an alignment between a source surface with target in non-rigid manner. In the past decade, advances 3D sensing technologies that can measure time-varying surfaces, has been applied for acquisition of deformable shapes and wide range applications. This survey presents comprehensive review methods shapes, focusing on techniques related to dynamic shape reconstructi...

In this paper, we introduce a non-rigid registration pipeline for pairs of unorganized point clouds that may be topologically different. Standard warp field estimation algorithms, even under robust, discontinuity-preserving regularization, tend to produce erratic motion estimates on boundaries associated with `close-to-open' topology changes. We overcome limitation by exploiting backward motion...

In this paper we present an efficient and robust vertebra segmentation algorithm for CT data. It proved reliable even for cases with damaged vertebrae or missing intervertebral discs. The resulting segmentation is then used to define the corresponding regions of interest in a piecewise rigid registration of the spine between CT and MR datasets of the same patient. The resulting deformation fiel...

A fast multiscale and multigrid method for the matching of images in 2D and 3D is presented. Especially in medical imaging this problem denoted as the registration problem is of fundamental importance in the handling of images from multiple image modalities or of image time series. The paper restricts to the simplest matching energy to be minimized, i.e., , where , are the intensity maps of the...

A three-dimensional warping registration algorithm was created and compared to rigid body registration of magnetic resonance (MR) pelvic volumes including the prostate. The rigid body registration method combines the advantages of mutual information (MI) and correlation coefficient at different resolutions. Warping registration is based upon independent optimization of many interactively placed...

The Morphon, a non-rigid registration method is presented and applied to a number of registration applications. The algorithm takes a protoype image (or volume) and morphs it into a target image using an iterative, multi-resolution technique. The deformation process is done in three steps: displacement estimation, deformation field accumulation and deformation. The framework could be described ...

In IVUS imaging, constant linear velocity and a constant angular velocity of 1800 rev/min causes displacement of the calcium in subsequent image frames. To overcome this error in intravascular ultrasound video, IVUS image frames must be registered prior to the lesion quantification. This paper presents a comprehensive comparison of four registration methods, namely: Rigid, Affine, B-Splines and...

Data registration is a common process in medical image analysis. The goal of data registration is to solve the transformation problem with multiple images’ alignment. Conventionally, diagnosing the tumors periodically requires understanding the growth and spread of tumor which is performed by doctors by visual inspections of multiple MRI scans taken over different stages in time series. Due to ...