Comput Methods Programs Biomed - A Gauss-Newton approach to joint image registration and intensity correction.

Tópicos

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Resumo

We develop a new efficient numerical methodology for automated simultaneous registration and intensity correction of images. The approach separates the intensity correction term from the images being registered in a regularized expression. Our formulation is consistent with the existing non-parametric image registration techniques, however, an extra additive intensity correction term is carried throughout. An objective functional is formed for which the corresponding Hessian and Jacobian is computed and employed in a multi-level Gauss-Newton minimization approach. In this paper, our experiments are based on elastic regularization on the transformation and total variation on the intensity correction. Validations on dynamic contrast enhanced MR abdominal images for both real and simulated data verified the efficacy of the model. The pursued approach is flexible in which we can exploit various forms of regularization on the transformation and the intensity correction.

Resumo Limpo

develop new effici numer methodolog autom simultan registr intens correct imag approach separ intens correct term imag regist regular express formul consist exist nonparametr imag registr techniqu howev extra addit intens correct term carri throughout object function form correspond hessian jacobian comput employ multilevel gaussnewton minim approach paper experi base elast regular transform total variat intens correct valid dynam contrast enhanc mr abdomin imag real simul data verifi efficaci model pursu approach flexibl can exploit various form regular transform intens correct

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