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Model-Based Detection of Tubular Structures in 3D Images

Karl Krissian, Grégoire Malandain, Nicholas Ayache, Régis Vaillant, Yves Trousset
2000 Computer Vision and Image Understanding  
q u d g i q } t o t s } C i Y r x t q u x z y o y | © t q r d g i Å t | u « x t o q r d g i £ ¢ Ф § ² ¥( ¡ ÌÑ Ñ̤ S R ¥ £ S R Ì ! t $ t s r i b t | i ' Á õ ĩ Y j ª B !  ...  t | v ' i & r i Y x x z o ĩ Y t s " t o y | ª g q u t x o g i b © ¬ s u y | h F Å t u « x t o 7 v ' y o | y | q u x z y o C y © " q r d g i x h ¤ t i t | o 6 x Ò q } i 8 s u x ¾ t q r x | i b 8 ® h ' ÌÑ  ... 
doi:10.1006/cviu.2000.0866 fatcat:etcjvccah5dpbcpbpi3vt6ftke

Tubular Enhanced Geodesic Active Contours for continuum robot detection using 3D ultrasound

Hongliang Ren, Pierre E. Dupont
2012 2012 IEEE International Conference on Robotics and Automation  
This paper introduces a new approach for detecting curved continuum robots in 3D ultrasound images.  ...  The proposed approach combines geodesic active contours with a speed function that is based on enhancing the "tubularity" of the continuum robot.  ...  ACKNOWLEDGMENT The authors gratefully acknowledge the assistance of Scott Settlemier, Philips Medical Systems, and the useful discussions with colleagues Andrew Gosline, Panagiotis Vartholomeos and Genevieve  ... 
doi:10.1109/icra.2012.6225033 pmid:24231880 pmcid:PMC3825407 dblp:conf/icra/RenD12 fatcat:zjare6s5rfg2dd4niwgmeolyau

Probabilistic Tracking and Model-Based Segmentation of 3D Tubular Structures [chapter]

Stefan Wörz, William J. Godinez, Karl Rohr
2009 Bildverarbeitung für die Medizin 2009  
We introduce a new approach for tracking-based segmentation of 3D tubular structures. The approach is based on a novel combination of a 3D cylindrical intensity model and particle filter tracking.  ...  of 3D tubular structures within semi-global regions-of-interest.  ...  This 3D appearance model directly represents the image intensities of 3D tubular structures within semi-global regions-of-interest (ROIs).  ... 
doi:10.1007/978-3-540-93860-6_9 dblp:conf/bildmed/WorzGR09 fatcat:uy5ujtr3n5glrj5husuw5ujafe

Composed Segmentation of Tubular Structures by an Anisotropic PDE Model [chapter]

Elena Franchini, Serena Morigi, Fiorella Sgallari
2009 Lecture Notes in Computer Science  
The approach and the segmentation model are general but we apply the C-segmentation technique to the challenging problem of segmenting tubular-like structures.  ...  Numerical examples demonstrate the ability of the proposed method to produce high quality 2D/3D segmentations of complex and eventually incomplete synthetic and real data.  ...  This logic framework suffers from the active contour model limits, and is not suitable for detecting tubular structures.  ... 
doi:10.1007/978-3-642-02256-2_7 fatcat:wdvil66w7zefbl2fcyz65ksuxy

Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images [chapter]

Dirk Breitenreicher, Michal Sofka, Stefan Britzen, Shaohua K. Zhou
2013 Lecture Notes in Computer Science  
Detecting tubular structures such as airways or vessels in medical images is important for diagnosis and surgical planning.  ...  In this work, we address these challenges by a two-layer model which consists of a low-level likelihood measure and a high-level measure verifying tubular branches.  ...  The proposed two-layer model makes it possible to efficiently search for tubular structures in large 3D images.  ... 
doi:10.1007/978-3-642-38868-2_28 pmid:24683980 fatcat:jhmxmve5hzbmxcczjzlfk6ofci

3D-3D Tubular Organ Registration and Bifurcation Detection from CT Images [chapter]

Jinghao Zhou, Sukmoon Chang, Dimitris Metaxas, Gig Mageras
2010 New Developments in Biomedical Engineering  
In this chapter, we present a rigid registration method of the tubular organs based on the automatically detected bifurcation points of the tubular organs. There are two steps in our approach.  ...  registration based on the automatically detected bifurcation points of the tubular organs.  ...  /newdevelopments-in-biomedical-engineering/3d-3d-tubular-organ-registration-and-bifurcation-detection-from-ctimages  ... 
doi:10.5772/7616 fatcat:mbgzbbgp7reaxpjwjw5cst5yzm

3D Multi-branch Tubular Surface and Centerline Extraction with 4D Iterative Key Points [chapter]

Hua Li, Anthony Yezzi, Laurent Cohen
2009 Lecture Notes in Computer Science  
An innovative 3D multi-branch tubular structure and centerline extraction method is proposed in this paper.  ...  First, instead of only representing the trajectory of a tubular structure as a 3D curve, the surface of the entire structure is represented as a 4D curve along which every point represents a 3D sphere  ...  By modeling the surface as a 4D trajectory as in [14] , a set of branching 3D tubular surfaces and their centerlines are simultaneously detected with a guarantee that the centerline curves also connect  ... 
doi:10.1007/978-3-642-04271-3_126 fatcat:nntkcbrwabfltijibnec3acbfe

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

Ning Zhu, Albert C.S. Chung
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
In this paper, we propose a graph-based method for 3D vessel tree structure segmentation based on a new tubularity Markov tree model (TMT ), which works as both new energy function and graph construction  ...  The proposed method is compared with some classical graph-based image segmentation methods and two up-to-date 3D vessel segmentation methods, and is demonstrated to be more accurate than these methods  ...  Conclusion In this paper, we propose a graph-based method for 3D vessel tree structure segmentation based on a new tubularity Markov tree model (TMT ), which works as both new energy function and graph  ... 
doi:10.1109/cvpr.2013.288 dblp:conf/cvpr/ZhuC13 fatcat:maibhxzkfnesrnb7fevs2eumb4

Directional analysis of 3D tubular structures via isotropic well-localized atoms

David Jiménez, Demetrio Labate, Manos Papadakis
2016 Applied and Computational Harmonic Analysis  
Accurate segmentation of 3D vessel-like structures is a major challenge in medical imaging.  ...  In this paper, we introduce a novel approach for the detection of 3D tubular structures that is particularly suited to capture the geometry of vessel-like networks, such as dendritic trees and vascular  ...  Kakadiaris of the University of Houston and Prof. F. Laezza of the University of Texas Medical Branch in Galveston for helpful discussions on neuroscience imaging.  ... 
doi:10.1016/j.acha.2015.08.011 fatcat:eopxmre27je3dh6wldeacejnqe

Tubular Structure Filtering by Ranking Orientation Responses of Path Operators [chapter]

Odyssée Merveille, Hugues Talbot, Laurent Najman, Nicolas Passat
2014 Lecture Notes in Computer Science  
In this article, we present a low-level tubular structure detection filter.  ...  Thin objects in 3D volumes, for instance vascular networks in medical imaging or various kinds of fibres in materials science, have been of interest for some time to computer vision.  ...  Introduction Thin structures can be hard to detect in images.  ... 
doi:10.1007/978-3-319-10605-2_14 fatcat:75jq3hr2r5gf7i76c2b35berla

Tubular Surface Segmentation for Extracting Anatomical Structures From Medical Imagery

Vandana Mohan, Ganesh Sundaramoorthi, Allen Tannenbaum
2010 IEEE Transactions on Medical Imaging  
Our model fits many anatomical structures in medical imagery, in particular, various fiber bundles in the brain (imaged through Diffusion-Weighted Magnetic Resonance (DW-MRI)) such as the cingulum bundle  ...  This work provides a model for tubular structures, and devises an algorithm to automatically extract tubular anatomical structures from medical imagery.  ...  This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.  ... 
doi:10.1109/tmi.2010.2050896 pmid:21118754 pmcid:PMC3103749 fatcat:gngl5ci67nff5ef4dxqes3crfu

An Improved Neuron Segmentation Model for Crack Detection – Image Segmentation Model

Ming Hao, Caifeng Lu, Guoqing Wang, Wei Wang
2017 Cybernetics and Information Technologies  
Firstly, a robust crack indicator function is designed based on local directional filtering; it makes up for the traditional function based on hessian matrix, which is resulting in problem of local structure  ...  The performance of the proposed model is demonstrated by experiments on three kinds of grouped crack sample images and the quantitative evaluation.  ...  Acknowledgements: The research described in this paper has been supported financially by Jiangsu Collaborative Innovation Center for Building Energy Saving and Construct Technology (Grant No SJXTY1518)  ... 
doi:10.1515/cait-2017-0021 fatcat:hilbr5dowbde5ggzmjw3xcjys4

Extraction of tubular structures over an orientation domain

Mickael Pechaud, Renaud Keriven, Gabriel Peyre
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
Centerlines and radii extraction of vessels in a retinal image, vessels in a cortical image and roads in a satellite image.  ...  Abstract This paper presents a new method to extract tubular structures from bi-dimensional images.  ...  Local Tubular Structure Model At the core of the proposed approach is the local detection of tubular structures.  ... 
doi:10.1109/cvpr.2009.5206782 dblp:conf/cvpr/PechaudKP09 fatcat:wpgp7idvizclbcoiqjhkggpxau

Extraction of tubular structures over an orientation domain

M. Pechaud, R. Keriven, G. Peyre
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
Centerlines and radii extraction of vessels in a retinal image, vessels in a cortical image and roads in a satellite image.  ...  Abstract This paper presents a new method to extract tubular structures from bi-dimensional images.  ...  Local Tubular Structure Model At the core of the proposed approach is the local detection of tubular structures.  ... 
doi:10.1109/cvprw.2009.5206782 fatcat:vsspdv6z3nel5g2spxdenp3kgm

Tubule Segmentation of Fluorescence Microscopy Images Based on Convolutional Neural Networks With Inhomogeneity Correction

Soonam Lee, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp
2018 IS&T International Symposium on Electronic Imaging Science and Technology  
This paper describes a segmentation method for tubular structures in fluorescence microscopy images using convolutional neural networks with data augmentation and inhomogeneity correction.  ...  Fluorescence microscopy has become a widely used tool for studying various biological structures of in vivo tissue or cells.  ...  O'Brien Award from the National Institutes of Health NIH/NIDDK P30 DK079312.  ... 
doi:10.2352/issn.2470-1173.2018.15.coimg-199 fatcat:sbxnh2er3zahbm2zv7zx3yjz6a
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