NDLI: Multimodal non-rigid registration methods based on local variability measures in computed tomography and magnetic resonance brain images

Content Provider	IET Digital Library
Author	Reducindo, Isnardo Rodriguez, Aldo R. Mejia Santana, Edgar R. Arce Delgado, Daniel Ulises Campos Gomez, Flavio Vigueras Scalco, Elisa Bianchi, Anna M. Cattaneo, Giovanni M. Rizzo, Giovanna
Abstract	This paper presents a novel non-rigid multimodal registration method that relies on three basic steps: first, an initial approximation of the deformation field is obtained by a parametric registration technique based on particle filtering; second, an intensity mapping based on local variability measures (LVM) is applied over the two images in order to overcome the multimodal restriction between them; and third, an optical flow method is used in an iterative way to find the remaining displacements of the deformation field. Hence the new methodology offers a solution for multimodal NRR by a quadratic optimisation over a convex surface, which allows independent motion of each pixel, in contrast to methods that parameterise the deformation space. To evaluate the proposed method, a set of magnetic resonance/computed tomography clinical studies (pre- and post-radiotherapy treatment) of three patients with cerebral tumour deformations of the brain structures was employed. The resulting registration was evaluated both qualitatively and quantitatively by standard indices of correspondence over anatomical structures of interest in radiotherapy (brain, tumour and cerebral ventricles). These results showed that one of the proposed LVM (entropy) offers a superior performance in estimating the non-rigid deformation field.
Starting Page	699
Ending Page	707
Page Count	9
ISSN	17519659
Volume Number	8
e-ISSN	17519667
Issue Number	Issue 12, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/8/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0705
Journal	IET Image Processing
Publisher Date	2014-06-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Anatomical Structures Approximation Theory Biology And Medical Computing Biomedical Imaging/measurement Biomedical Magnetic Resonance Imaging Biomedical MRI Brain Brain Ventricles Cerebral Ventricles Computed Tomography Computer Vision And Image Processing Technique Computerised Instrumentation Computerised Tomography Convex Surface Deformation Field Deformation Space Diagnostic Procedures Filtering Method in Signal Processing Image Registration Initial Approximation Intensity Mapping Interpolation And Function Approximation Local Variability Measurement LVM Magnetic Resonance Brain Image Magnetic Resonance-computed Tomography Medical Image Medical Image Processing Medical Magnetic Resonance Imaging And Spectroscopy Multimodal Image Multimodal Nonrigid Registration Method NRR Numerical Analysis Numerical Approximation And Analysis Parametric Registration Technique Particle Filter Particle Filtering Patient Diagnostic Method And Instrumentation Quadratic Optimisation Radiography And Computed Tomography Radiotherapy Spectroscopy Therapeutic Procedures Tumour Ventricles X-Ray Technique X-Rays And Particle Beam
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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