NDLI: A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation

Content Provider	Springer Nature Link
Author	Alchatzidis, Stavros Sotiras, Aristeidis Zacharaki, Evangelia I. Paragios, Nikos
Copyright Year	2016
Abstract	Multi-atlas segmentation has emerged in recent years as a simple yet powerful approach in medical image segmentation. It commonly comprises two steps: (1) a series of pairwise registrations that establish correspondences between a query image and a number of atlases, and (2) the fusion of the available segmentation hypotheses towards labeling objects of interest. In this paper, we introduce a novel approach that solves simultaneously for the underlying segmentation labels and the multi-atlas registration. The proposed approach is formulated as a pairwise Markov Random Field, where registration and segmentation nodes are coupled towards simultaneously recovering all atlas deformations and labeling the query image. The coupling is achieved by promoting the consistency between selected deformed atlas segmentations and the estimated query segmentation. Additional membership fields are estimated, determining the participation of each atlas in labeling each voxel. Inference is performed by using a sequential relaxation scheme. The proposed approach is validated on the IBSR dataset and is compared against standard post-registration label fusion strategies. Promising results demonstrate the potential of our method.
Starting Page	169
Ending Page	181
Page Count	13
File Format	PDF
ISSN	09205691
Journal	International Journal of Computer Vision
Volume Number	121
Issue Number	1
e-ISSN	15731405
Language	English
Publisher	Springer US
Publisher Date	2016-08-11
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi-atlas segmentation Medical imaging Markov random fields Discrete optimization Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence 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

A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation

Multi-label Moves for MRFs with Truncated Convex Priors

Motion Coherent Tracking Using Multi-label MRF Optimization

A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model

Robust Higher Order Potentials for Enforcing Label Consistency

Nonparametric Bayesian Image Segmentation

Inference Methods for CRFs with Co-occurrence Statistics

Minimizing Energies with Hierarchical Costs

Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction

A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation

Similar Documents

A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation

Multi-label Moves for MRFs with Truncated Convex Priors

Motion Coherent Tracking Using Multi-label MRF Optimization

A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model

Robust Higher Order Potentials for Enforcing Label Consistency

Nonparametric Bayesian Image Segmentation

Inference Methods for CRFs with Co-occurrence Statistics

Minimizing Energies with Hierarchical Costs

Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction

A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation