Total Variation Filtered Demons for Improved Registration of Sliding Organs
Author(s) -
Damir Demirović,
Amira Šerifović-Trbalić,
Naser Prljača,
Philippe C. Cattin
Publication year - 2013
Publication title -
isrn biomathematics
Language(s) - English
Resource type - Journals
ISSN - 2090-7702
DOI - 10.1155/2013/534891
Subject(s) - classification of discontinuities , smoothing , displacement field , regularization (linguistics) , displacement (psychology) , deformation (meteorology) , computer vision , artificial intelligence , computer science , gaussian , total variation denoising , field (mathematics) , algorithm , mathematics , mathematical analysis , geology , physics , noise reduction , psychology , oceanography , quantum mechanics , finite element method , pure mathematics , psychotherapist , thermodynamics
We present a new approach to regularize the displacement field of the accelerated Demons registration algorithm. The accelerated Demons algorithm uses Gaussian smoothing to penalize oscillatory motion in the displacement fields during registration. This regularization approach is often applied and ensures a smooth deformation field. However, when registering images with discontinuities in their motion field such as from organs sliding along the chest wall, the assumption of a smooth deformation field is invalid. In this work, we propose using total variation based smoothing that is known to better retain the discontinuities in the deformation field. The proposed approach is a first step towards automatically recovering breathing induced organ motion with good accuracy.
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