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Extraction of 3D Vascular Tree Skeletons Based on the Analysis of Connected Components Evolution [chapter]

Juan F. Carrillo, Maciej Orkisz, Marcela Hernández Hoyos
2005 Lecture Notes in Computer Science  
We describe a simple algorithm for fast extraction of the 3D structure of the vascular tree, which has been implemented within this framework.  ...  The originality of the algorithm resides in the analysis of the evolution of the connected components during the sphere growth that allows it to cope with local abrupt changes of the vessel diameter and  ...  The first step towards this goal is the extraction of the vascular tree skeleton, i.e. of the axes of each branch and of the bifurcation points.  ... 
doi:10.1007/11556121_74 fatcat:wh2xgnh4zbfgxjwrvhjiel22bi

Laplacian Flow Dynamics on Geometric Graphs for Anatomical Modeling of Cerebrovascular Networks [article]

Rafat Damseh, Patrick Delafontaine-Martel, Philippe Pouliot, Farida Cheriet, Frederic Lesage
2019 arXiv   pre-print
This is achieved by extracting graph-based representations based on pre-mapping of vascular structures.  ...  The proposed approach is based on deforming geometric graphs constructed within vascular boundaries.  ...  The anatomical structure of the extracted trees were also assessed based on the MAP metric.  ... 
arXiv:1912.10003v1 fatcat:k6m6ghwginewbjp2knznsvr2ia

Orthogonal planar search (OPS) for coronary artery centerline extraction

Szeling Tang, Chee Seng Chan
2015 Signal, Image and Video Processing  
The search mechanism exploits a data-driven algorithm to extract the centerline. Firstly, the best representation of vessel cross section on orthogonal planar is determined.  ...  to the original source of publication and a link is inserted to the published article on Springer's website.  ...  Extract initial tree by component connected labeling and skeletonization. Use wave propagation in branch search.  ... 
doi:10.1007/s11760-014-0746-0 fatcat:dj6inodmwvb7bmn6yafnbf3v3i

Automatic 3D Reconstruction Of Coronary Artery Centerlines From Monoplane X-Ray Angiogram Images

Ali Zifan, Panos Liatsis, Panagiotis Kantartzis, Manolis Gavaises, Nicos Karcanias, Demosthenes Katritsis
2008 Zenodo  
Next, a simple yet efficient multiscale method, based on the information of the Hessian matrix, for the enhancement of the vascular structure is introduced.  ...  The detected 2D centerlines combined with disparity map information allow the reconstruction of the 3D vessel centerlines.  ...  criterion of size of the connected components.  ... 
doi:10.5281/zenodo.1058476 fatcat:vvk2eh4f6respftw4uqncdgrdu

Automatic Segmentation, Feature Extraction and Comparison of Healthy and Stroke Cerebral Vasculature [article]

Aditi Deshpande, Nima Jamilpour, Bin Jiang, Chelsea Kidwell, Max Wintermark, Kaveh Laksari
2020 arXiv   pre-print
We propose an automated method for cerebral vascular segmentation without the need of any manual intervention as well as a method to skeletonize the binary volume to extract vascular geometric features  ...  This technique can be applied on any imaging modality and can be used in the future to automatically obtain the 3D segmented vasculature for diagnosis and treatment planning of Stroke and other cerebrovascular  ...  Acknowledgements: The study was supported by the National Institutes of Health (NIH) National Institute of Neurological Disorders and Stroke (NINDS) grant number R03NS108167 and Tech Launch Arizona UA18  ... 
arXiv:2002.11208v1 fatcat:evuh2gbvovc4xpzbgme3whjd5u

A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes

David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea
2009 Medical Image Analysis  
In this paper, we review state-of-the-art literature on vascular segmentation, with a particular focus on 3D contrast-enhanced imaging modalities (MRA and CTA).  ...  Each component (model, feature and extraction scheme) plays a crucial role toward the efficient, robust and accurate segmentation of vessels of interest.  ...  Acknowledgement The authors would like to thank the reviewers for their constructive and thoughtful comments.  ... 
doi:10.1016/j.media.2009.07.011 pmid:19818675 fatcat:rroixlliubb6nfmvlhahdqtniq

Segmentation of Soft atherosclerotic plaques using active contour models [article]

Muhammad Moazzam Jawaid
2016 arXiv   pre-print
Consequently based on detected seed point & intensity behaviour, localized active contour segmentation has been applied to extract complete coronary tree.  ...  Detection of non-calcified plaques in the coronary tree is a challenging problem due to the nature of comprising substances.  ...  Centreline extraction based on sub-voxel skeleton For quantitative analysis of coronary arteries, medial axis generation is very important.  ... 
arXiv:1608.00116v1 fatcat:5h6n3ervbze47b6oiit66ro4qq

Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery

Luc Soler, Herve Delingette, Gregoire Malandain, Johan Montagnat, Nicholas Ayache, Christophe Koehl, Olivier Dourthe, Benoit Malassagne, Michelle Smith, Didier Mutter, Jacques Marescaux
2001 Journal of Computer-Aided Surgery  
Finally, a topological and geometrical analysis based on medical knowledge provides hepatic functional information invisible in medical imaging: portal vein labeling and hepatic anatomical segmentation  ...  Then an automatic gaussians fitting on the imaging histogram estimates the intensities of parenchyma, vessels and lesions.  ...  Finally, constraints allow for extracting lesion shaped structures from connected components extracted by the initial thresholding.  ... 
doi:10.1002/igs.1016 pmid:11747131 fatcat:kn3khwgzxjbovfpaxxmbsnaaym

Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery

Luc Soler, Herve Delingette, Gregoire Malandain, Johan Montagnat, Nicholas Ayache, Jean-Marie Clement, Christophe Koehl, Olivier Dourthe, Didier Mutter, Jacques Marescaux, Kenneth M. Hanson
2000 Medical Imaging 2000: Image Processing  
Finally, a topological and geometrical analysis based on medical knowledge provides hepatic functional information invisible in medical imaging: portal vein labeling and hepatic anatomical segmentation  ...  Then an automatic gaussians fitting on the imaging histogram estimates the intensities of parenchyma, vessels and lesions.  ...  Finally, constraints allow for extracting lesion shaped structures from connected components extracted by the initial thresholding.  ... 
doi:10.1117/12.387686 dblp:conf/miip/SolerDMMACKDMM00 fatcat:fmrq643yl5cnlmmcw4bwncqupq

Automated generation of directed graphs from vascular segmentations

Brian E. Chapman, Holly P. Berty, Stuart L. Schulthies
2015 Journal of Biomedical Informatics  
Least-squares cubic splines of the centerline paths between nodes were computed and were used to extract morphological features of the vascular tree.  ...  A 3D parallel thinning algorithm was used to generate the vascular skeleton and then graph-based techniques were used to transform the skeleton to a directed graph with bifurcations and endpoints as nodes  ...  The basis for this structuring is extracting the skeleton of the vascular tree.  ... 
doi:10.1016/j.jbi.2015.07.002 pmid:26165778 pmcid:PMC4547695 fatcat:qtzfxfcqa5gn5e2pdrfk3ioqia

Automatic Segmentation of Scanned Human Body Using Curve Skeleton Analysis [chapter]

Christian Lovato, Umberto Castellani, Andrea Giachetti
2009 Lecture Notes in Computer Science  
The skeleton-based segmentation is based on a hierarchical search of feature points along the skeleton tree.  ...  In this paper we present a method for the automatic processing of scanned human body data consisting of an algorithm for the extraction of curve skeletons of the 3D models acquired and a procedure for  ...  Acknowledgements This work is partially supported by the Italian Ministry of Research and Education under the project 3-ShIRT(Three-dimensional SHape Indexing and Retrival Techniques).  ... 
doi:10.1007/978-3-642-01811-4_4 fatcat:ngdkpmcgizepbgotjyuwsuvgza

Segmentation of vascular structures and hematopoietic cells in 3D microscopy images and quantitative analysis

Jian Mu, Lin Yang, Malgorzata M. Kamocka, Amy L. Zollman, Nadia Carlesso, Danny Z. Chen, Sébastien Ourselin, Martin A. Styner
2015 Medical Imaging 2015: Image Processing  
In analyzing vascular properties, we provide algorithms for pruning fake vessel segments and branches based on vessel skeletons.  ...  We develop algorithms that automatically segment vascular structures and hematopoietic cells in 3-D microscopy images, perform quantitative analysis of the properties of the segmented vascular structures  ...  the voxel would not change the number of connected components in the image  ... 
doi:10.1117/12.2082350 dblp:conf/miip/MuYKZCC15 fatcat:4trq5vlk75gmvmkbf4eolpextq

Automatic Segmentation, Feature Extraction and Comparison of Healthy and Stroke Cerebral Vasculature

Aditi Deshpande, Nima Jamilpour, Bin Jiang, Michel, Ashraf Eskandari, Chelsea Kidwell, Max Wintermark, Kaveh Laksari
2021 NeuroImage: Clinical  
We propose an automated method for cerebral vascular segmentation without the need of any manual intervention as well as a method to skeletonize the binary segmented map to extract vascular geometric features  ...  Our segmentation and feature extraction algorithm can be applied on any imaging modality and can be used in the future to automatically obtain the 3D segmented vasculature for diagnosis and treatment planning  ...  Acknowledgements The study was supported by the National Institutes of Health (NIH) National Institute of Neurological Disorders and Stroke (NINDS) grant number R03NS108167 and Tech Launch Arizona UA18  ... 
doi:10.1016/j.nicl.2021.102573 pmid:33578323 pmcid:PMC7875826 fatcat:z3cj24vopngivc3oqeomsar7vu

Vascular Patterning as Integrative Readout of Complex Molecular and Physiological Signaling by VESsel GENeration Analysis

Mark Lagatuz, Ruchi J. Vyas, Marina Predovic, Shiyin Lim, Nicole Jacobs, Miguel Martinho, Hamed Valizadegan, David Kao, Nikunj Oza, Corey A. Theriot, Susana B. Zanello, Giovanni Taibbi (+12 others)
2021 Journal of Vascular Research  
We review application of NASA's globally available, freely downloadable VESsel GENeration (VESGEN) Analysis software to numerous examples of 2D vascular trees, networks, and tree-network composites.  ...  drug leronlimab; intestinal vascular inflammation with probiotic protection by <i>Saccharomyces boulardii</i>, and a workflow programming of vascular architecture for 3D bioprinting of regenerative tissues  ...  Farr, University of Washington, for his generous gift of recombinant KGF, and Rachel Cadle, Indiana University-Purdue University at Indianapolis, for helping with 3D image CAD conversion and printing.  ... 
doi:10.1159/000514211 pmid:33839725 fatcat:pvglvmgshrfpfbggwh2oe3iwoa

Angiographic Image Analysis [chapter]

Olena Tankyevych, Hugues Talbot, Nicolas Passat, Mariano Musacchio, Michel Lagneau
2011 Medical Image Processing  
The purpose of this chapter is to provide some general background notions on 3D angiographic image analysis to the reader.  ...  Another way to consider computeraided analysis of 3D angiographic images is to provide human experts with a base of highlevel anatomical knowledge which can pos sibly be involved in more specific analysis  ...  The main idea behind eigen analysis of the Hessian matrix is to extract one or more principal directions of the local structure of the image.  ... 
doi:10.1007/978-1-4419-9779-1_6 fatcat:vjo4whm3knhglk2lcg2c6fwucq
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