NDLI: Distinctive local binary pattern for non-rigid registration of lung computed tomography images

Content Provider	IET Digital Library
Author	Cao, Zhulou Dong, Enqing
Abstract	Non-rigid registration of lung computed tomography (CT) images is a valuable tool for various clinical applications. Many methods such as bilateral filters and census transform have been used to deal with discontinuity of lung motion and local intensity variation. However, census transform cannot distinguish between low and high contrast regions, which may lead to negative influence to differential-based registration methods. A novel distinctive local binary pattern that can generate distinctive representations of high contrast images is proposed. Combing the novel local binary pattern, bilateral filters, the inverse-consistent symmetrical method and the Lucas–Kanade method, a novel accurate image registration method is developed. The experiments are performed on the publicly available 4D CT lung dataset from DIR-Lab. Compared with the census transform, the proposed distinctive local binary pattern can achieve relatively better results. The proposed image registration method greatly improves the accuracy of the classical Lucas–Kanade method and the bilateral filters-based Demons. In addition, the proposed registration method is most accurate among all unmasked methods tested on this dataset.
Starting Page	1742
Ending Page	1744
Page Count	3
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 22, Oct (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/22
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2015.0598
Journal	Electronics Letters
Publisher Date	2015-10-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	4D CT Lung Dataset Bilateral Filter-based Demons Biology And Medical Computing Biomedical Imaging/measurement Census Transform Computer Vision And Image Processing Technique Computerised Tomography Differential-based Registration Method Distinctive Local Binary Pattern High Contrast Image Image Registration Inverse-consistent Symmetrical Method Local Intensity Variation Lucas-Kanade Method Lung Lung Motion Discontinuity Medical Image Processing Nonrigid Lung Computed Tomography Image Registration Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Pattern Recognition Radiography And Computed Tomography X-Ray Technique X-Rays And Particle Beam
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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

Multimodal non-rigid registration methods based on local variability measures in computed tomography and magnetic resonance brain images

Lung tumour detection by fusing extended local binary patterns and weighted orientation of difference from computed tomography

Medical image rigid registration using a novel binary feature descriptor and modified affine transform

Novel local bit-plane dissimilarity pattern for computed tomography image retrieval

Automatic lung segmentation based on Graph Cut using a distance-constrained energy

Automatic benign and malignant classification of pulmonary nodules in thoracic computed tomography based on RF algorithm

Spectral Graph Wavelet Based Nonrigid Image Registration

Subpixel image registration regularised by l1 and l2 norms

Lung segmentation based on random forest and multi-scale edge detection

Distinctive local binary pattern for non-rigid registration of lung computed tomography images

Similar Documents

Multimodal non-rigid registration methods based on local variability measures in computed tomography and magnetic resonance brain images

Lung tumour detection by fusing extended local binary patterns and weighted orientation of difference from computed tomography

Medical image rigid registration using a novel binary feature descriptor and modified affine transform

Novel local bit-plane dissimilarity pattern for computed tomography image retrieval

Automatic lung segmentation based on Graph Cut using a distance-constrained energy

Automatic benign and malignant classification of pulmonary nodules in thoracic computed tomography based on RF algorithm

Spectral Graph Wavelet Based Nonrigid Image Registration

Subpixel image registration regularised by l1 and l2 norms

Lung segmentation based on random forest and multi-scale edge detection

Distinctive local binary pattern for non-rigid registration of lung computed tomography images