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Model-Based Detection of Tubular Structures in 3D Images
2000
Computer Vision and Image Understanding
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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
2012
2012 IEEE International Conference on Robotics and Automation
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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]
2009
Bildverarbeitung für die Medizin 2009
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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]
2009
Lecture Notes in Computer Science
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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]
2013
Lecture Notes in Computer Science
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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]
2010
New Developments in Biomedical Engineering
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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]
2009
Lecture Notes in Computer Science
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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
2013
2013 IEEE Conference on Computer Vision and Pattern Recognition
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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
2016
Applied and Computational Harmonic Analysis
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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]
2014
Lecture Notes in Computer Science
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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
2010
IEEE Transactions on Medical Imaging
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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
2017
Cybernetics and Information Technologies
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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
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
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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
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
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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
2018
IS&T International Symposium on Electronic Imaging Science and Technology
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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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