Nonrigid Image Registration By The Deformation Based Grid Generation

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Title: Nonrigid Image Registration By The Deformation Based Grid Generation
Author: Hsieh, Chih-Yao
Abstract: A novel nonrigid image registration algorithm is developed using a well -established mathematic work known as deformation based grid generation . The deformation based grid generation is capable to generate a grid free of mesh folding , which is achieved by devising a positive monitor function describing the anticipated grid point density in the computational domain . Based on this method , a novel nonrigid image registration algorithm is successfully developed with many interesting features . First of all , the functional to be optimized during the image registration process consists of only one term — the similarity term . Thus , no regularization functional is required in this method , not to mention the weight to balance the regularization functional and the similarity functional commonly required in many nonrigid image registration methods . Nevertheless , the regularity (no mesh folding ) of the resultant deformation vector field is theoretically guaranteed . Secondly , since no regularization term is introduced in the functional to be optimized , the resultant deformation vector field is highly flexible that large deformation frequently experienced in inter -patient or image -atlas registration tasks can be accurately estimated . We present the detailed description of our proposed nonrigid image registration method with different implementations , alone with several 2D and 3D experimental results evaluating the registration quality , performance , and noise tolerance capability .
URI: http : / /hdl .handle .net /10106 /1830
Date: 2009-09-16

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Nonrigid Image Registration By The Deformation Based Grid Generation. Available electronically from http : / /hdl .handle .net /10106 /1830 .

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