NDLI: Multimodal image registration based on the expectation

Content Provider	IET Digital Library
Author	Santana, Edgar R. Arce Delgado, Daniel Ulises Campos Reducindo, Isnardo Rodriguez, Aldo R. Mejia
Abstract	In this study, a new framework for multimodal image registration is proposed based on the expectation–maximisation (EM) methodology. This framework allows to address simultaneously parametric and elastic registrations independently on the modality of the target and source images without making any assumptions about their intensity relationship. The EM formulation for the image registration problem leads to a regularised quadratic optimisation scheme to compute the displacement vector field (DVF) that aligns the images and depends on their joint intensity distribution. At the first stage, a parametric transformation is assumed for the DVF, where the resulting quadratic optimisation is computed recursively to calculate its optimal parameters. Next, a general unknown deformation models the elastic part of the DVF, which is represented by an additive structure. The resulting optimisation process by the EM formulation results in a cost function that involves data and regularisation terms, which is also solved recursively. A comprehensive evaluation of the parametric and elastic proposals is carried out by comparing to state-of-the-art algorithms and images from different application fields, where an advantage is visualised by the authors’ proposal in terms of a compromise between accuracy and robustness.
Starting Page	1246
Ending Page	1253
Page Count	8
ISSN	17519659
Volume Number	11
e-ISSN	17519667
Issue Number	Issue 12, Dec (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/11/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0234
Journal	IET Image Processing
Publisher Date	2017-08-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Additive Structure Computer Vision And Image Processing Technique Cost Function Displacement Vector Field DVF Elastic Registration EM Methodology Expectation-maximisation Algorithm Expectation–maximisation Methodology General Unknown Deformation Model Image Registration Joint Intensity Distribution Multimodal Image Registration Optical, Image And Video Signal Processing Optimal Parameter Calculation Optimisation Technique Parametric Registration Parametric Transformation Quadratic Optimisation Scheme Quadratic Programming Recursive Estimation Source Image Statistics Target Image
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Soft shape registration under Lie group frame

Non-parametric mixture model with TV spatial regularisation and its dual expectation maximisation algorithm

Tracking of group-housed pigs using multi-ellipsoid expectation maximisation

Elastic Medical Image Registration Based on Image Intensity (2002)

Parameter estimation of G0 distribution based on improved recursive expectation–maximisation method for clutter modelling

Differential Elastic Image Registration (2001)

Hybrid registration for two-dimensional gel protein images.

Non-parametric image registration using generalized elastic nets (2006)

Image deformation based on contour using moving integral least squares

Multimodal image registration based on the expectation–maximisation methodology

Similar Documents

Soft shape registration under Lie group frame

Non-parametric mixture model with TV spatial regularisation and its dual expectation maximisation algorithm

Tracking of group-housed pigs using multi-ellipsoid expectation maximisation

Elastic Medical Image Registration Based on Image Intensity (2002)

Parameter estimation of G0 distribution based on improved recursive expectation–maximisation method for clutter modelling

Differential Elastic Image Registration (2001)

Hybrid registration for two-dimensional gel protein images.

Non-parametric image registration using generalized elastic nets (2006)

Image deformation based on contour using moving integral least squares

Multimodal image registration based on the expectation–maximisation methodology