Abstract
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.
Highlights
Nonrigid image registration methods, Maintz and Viergever [1], play an important role in today’s modern medical diagnostics and Image-Guided Therapy (IGT) systems
The goal of registration is to obtain mapping from one coordinate system of one image to the coordinate system of the other image. It tries to find a displacement field T that warps each pixel of the moving image M onto the static reference image S in an optimal sense
The aim of the Demons algorithm is to find a displacement field T that maps all pixels m of the moving image M onto the corresponding pixels s of the static image S
Summary
Maintz and Viergever [1], play an important role in today’s modern medical diagnostics and Image-Guided Therapy (IGT) systems. They can be broadly split into two main categories, namely, the feature and intensity based approaches. One of the wellknown intensity based methods is optical flow by Horn and Schunk [2]. Because of the ill-posedness of image registration, additional information in a form of regularization rules is necessary. They usually come in form of heuristical rules with underlying physical reasoning
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