NDLI: Automatic segmentation of lymph vessel wall using optimal surface graph cut and hidden Markov Models

Content Provider	IEEE Xplore Digital Library
Author	Jones, J.-L. Essa, E. Xianghua Xie
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., Swansea Univ., Swansea, UK (Jones, J.-L.; Essa, E.; Xianghua Xie)
Abstract	We present a novel method to segment the lymph vessel wall in confocal microscopy images using Optimal Surface Segmentation (OSS) and hidden Markov Models (HMM). OSS is used to preform a pre-segmentation on the images, to act as the initial state for the HMM. We utilize a steerable filter to determine edge based filters for both of these segmentations, and use these features to build Gaussian probability distributions for both the vessel walls and the background. From this we infer the emission probability for the HMM, and the transmission probability is learned using a Baum-Welch algorithm. We transform the segmentation problem into one of cost minimization, with each node in the graph corresponding to one state, and the weight for each node being defined using its emission probability. We define the inter-relations between neighboring nodes using the transmission probability. Having constructed the problem, it is solved using the Viterbi algorithm, allowing the vessel to be reconstructed. The optimal solution can be found in polynomial time. We present qualitative and quantitative analysis to show the performance of the proposed method.
Starting Page	2403
Ending Page	2406
File Size	2118555
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7318878
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Image segmentation Three-dimensional displays Biomedical imaging Microscopy Yttrium Image edge detection
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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

Automatic Segmentation of Lymph Vessel Wall using Optimal Surface Graph Cut and Hidden Markov Models

Graph-Based Optimization with Tubularity Markov Tree for 3D Vessel Segmentation

Automatic 3D graph cuts for brain cortex segmentation in patients with focal cortical dysplasia

Automatic segmentation of time-lapse microscopy images depicting a live Dharma embryo

Employing temporal information for cell segmentation using max-flow/min-cut in phase-contrast video microscopy

A fully-automatic locally adaptive thresholding algorithm for blood vessel segmentation in 3D digital subtraction angiography

Biomedical image segmentation via constrained graph cuts and pre-segmentation

Maximal curvature-based segmentation of 3D vessel contours

A Bayesian approach for epileptic seizures detection with 3D accelerometers sensors

Automatic segmentation of lymph vessel wall using optimal surface graph cut and hidden Markov Models

Similar Documents

Automatic Segmentation of Lymph Vessel Wall using Optimal Surface Graph Cut and Hidden Markov Models

Graph-Based Optimization with Tubularity Markov Tree for 3D Vessel Segmentation

Automatic 3D graph cuts for brain cortex segmentation in patients with focal cortical dysplasia

Automatic segmentation of time-lapse microscopy images depicting a live Dharma embryo

Employing temporal information for cell segmentation using max-flow/min-cut in phase-contrast video microscopy

A fully-automatic locally adaptive thresholding algorithm for blood vessel segmentation in 3D digital subtraction angiography

Biomedical image segmentation via constrained graph cuts and pre-segmentation

Maximal curvature-based segmentation of 3D vessel contours

A Bayesian approach for epileptic seizures detection with 3D accelerometers sensors

Automatic segmentation of lymph vessel wall using optimal surface graph cut and hidden Markov Models