Bilateral filter regularized accelerated Demons for improved discontinuity preserving registration

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Bilateral filter regularized accelerated Demons for improved discontinuity preserving registration

JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)

ID	3287681
Author(s)	Demirović, D; Šerifović-Trbalić, A; Prljača, N; Cattin, Ph C
Author(s) at UniBasel	Cattin, Philippe Claude
Year	2015
Title	Bilateral filter regularized accelerated Demons for improved discontinuity preserving registration
Journal	Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Volume	40
Pages / Article-Number	94-9
Abstract	The classical accelerated Demons algorithm uses Gaussian smoothing to penalize oscillatory motion in the displacement fields during registration. This well known method uses the L2 norm for regularization. Whereas the L2 norm is known for producing well behaving smooth deformation fields it cannot properly deal with discontinuities often seen in the deformation field as the regularizer cannot differentiate between discontinuities and smooth part of motion field. In this paper we propose replacement the Gaussian filter of the accelerated Demons with a bilateral filter. In contrast the bilateral filter not only uses information from displacement field but also from the image intensities. In this way we can smooth the motion field depending on image content as opposed to the classical Gaussian filtering. By proper adjustment of two tunable parameters one can obtain more realistic deformations in a case of discontinuity. The proposed approach was tested on 2D and 3D datasets and showed significant improvements in the Target Registration Error (TRE) for the well known POPI dataset. Despite the increased computational complexity, the improved registration result is justified in particular abdominal data sets where discontinuities often appear due to sliding organ motion.
Publisher	Elsevier
ISSN/ISBN	1879-0771
edoc-URL	http://edoc.unibas.ch/39631/
Full Text on edoc	No
Digital Object Identifier DOI	10.1016/j.compmedimag.2014.11.011
PubMed ID	http://www.ncbi.nlm.nih.gov/pubmed/25541494
ISI-Number	WOS:000350928500009
Document type (ISI)	Journal Article

04/12/2023

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