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Tubular anisotropy for 2D vessel segmentation

F. Benmansour, L.D. Cohen, M. Law, A. Chung
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
In this paper, we present a new approach for segmentation of tubular structures in 2D images providing minimal interaction.  ...  for the center point and one for the radius).  ...  Yezzi for interesting discussions. This work was partially supported by ANR grant SURF -NT05-2 45825, and from the K S Lo Foundation and RGC612308.  ... 
doi:10.1109/cvprw.2009.5206703 fatcat:rak2tvsnonf57m4dj4k3fpwsnq

Tubular anisotropy for 2D vessel segmentation

Fethallah Benmansour, Laurent D. Cohen, Max W. K. Law, Albert C. S. Chung
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
In this paper, we present a new approach for segmentation of tubular structures in 2D images providing minimal interaction.  ...  for the center point and one for the radius).  ...  Yezzi for interesting discussions. This work was partially supported by ANR grant SURF -NT05-2 45825, and from the K S Lo Foundation and RGC612308.  ... 
doi:10.1109/cvpr.2009.5206703 dblp:conf/cvpr/BenmansourCLC09 fatcat:4e5odurpfbfq7htqfbq2bbe4fm

Tubular Structure Segmentation Based on Minimal Path Method and Anisotropic Enhancement

Fethallah Benmansour, Laurent D. Cohen
2010 International Journal of Computer Vision  
We present a new interactive method for tubular structure extraction. The main application and motivation for this work is vessel tracking in 2D and 3D images.  ...  We have chosen to exploit the tubular structure of the vessels one wants to extract to built an anisotropic metric.  ...  Also Eduardo Davila for his precious help for the implementation of the first interface and Julien Mille for his collaboration for the carotid contest.  ... 
doi:10.1007/s11263-010-0331-0 fatcat:p3rbxglsvjhapai36ckfm2adnm

A new interactive method for coronary arteries segmentation based on tubular anisotropy

Fethallah Benmansour, Laurent D. Cohen
2009 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
In this paper we present a new interactive method for tubular structure extraction. The main application and motivation for this work is vessel tracking in 3D medical images.  ...  This approach is made available for the physician using an Object Oriented Language (OOL) interface. We show results on two CT cardiac images for coronary arteries segmentation.  ...  Yezzi, Max Wai-Kong Law and Professor Philippe Charles Douek for fruitful discussions. Also, Eduardo Davila for his precious help for the implementation of the interface.  ... 
doi:10.1109/isbi.2009.5192978 dblp:conf/isbi/BenmansourC09 fatcat:b5rx4jmelnfvtfxmr3b4swqfsy

Minimal Paths for Tubular Structure Segmentation with Coherence Penalty and Adaptive Anisotropy [article]

Da Chen, Jiong Zhang, Laurent D. Cohen
2018 arXiv   pre-print
The minimal path method has proven to be particularly useful and efficient in tubular structure segmentation applications.  ...  In addition, we propose an efficient prior path-based method to search for vessel radius value at each centerline position of the target.  ...  Jean-Marie Mirebeau from Université Paris-Sud for his fruitful discussion.  ... 
arXiv:1809.07987v3 fatcat:3p6454bgr5dhrc2dmy3w3d4c7q

Detecting tubular structures via direct vector field singularity characterization

Aytekin D Çabuk, E Alpay, B Acar
2010 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology  
The initial step of vessel segmentation in 3D is the detection of vessel centerlines.  ...  In this paper we propose a 3D tubular structure detection method that removes these two drawbacks.  ...  Consequently, the correct centerline detection is the prerequisite for correct segmentation of tubular structures.  ... 
doi:10.1109/iembs.2010.5628028 pmid:21097293 fatcat:7k4pfvqssbgf3e7kcr4slyhewa

Principal curves to extract vessels in 3D angiograms

Wilbur C. K. Wong, Albert C. S. Chung
2008 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
We discuss an application of principal curve to vessel extraction from a theoretical view point. A novel algorithm is then proposed for the application.  ...  Segmentation of blood vessels and extraction of their centerlines in 3D angiography are essential to diagnosis and prognosis of vascular diseases, and advanced image processing and analysis.  ...  Centerline (axis) of vessels is as important as the segmentation.  ... 
doi:10.1109/cvprw.2008.4563015 dblp:conf/cvpr/WongC08 fatcat:dizhemy4izbodfyrzoewrzlnsm

Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking [article]

Li Liu, Da Chen, Minglei Shu, Baosheng Li, Huazhong Shu, Michel Paques, Laurent D. Cohen
2021 arXiv   pre-print
In this paper, we introduce a new minimal paths-based model for minimally interactive tubular structure centerline extraction in conjunction with a perceptual grouping scheme.  ...  The minimal paths-based approaches have exhibited their strong ability in tracing tubular structures, by which a tubular structure can be naturally modeled as a minimal geodesic path computed with a suitable  ...  Liao et al., “Progressive minimal path method for segmentation of computer vision, medical image segmentation, 3D blood vessel segmentation 2D and 3D line structures,” IEEE Trans.  ... 
arXiv:2003.03710v4 fatcat:ro4fekyvh5cpfpzn6imbealx5q

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  
Filters for detecting such structures use for instance an analysis of the three principal directions of the Hessian, which is a local feature.  ...  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.  ...  Efficient operators using line segments in 2D were proposed in [31, 32] and extended to 3D in [10] .  ... 
doi:10.1007/978-3-319-10605-2_14 fatcat:75jq3hr2r5gf7i76c2b35berla

Tubularity Flow Field—A Technique for Automatic Neuron Segmentation

Suvadip Mukherjee, Barry Condron, Scott T. Acton
2015 IEEE Transactions on Image Processing  
Our segmentation technique, called tubularity flow field (TuFF) performs directional regional growing guided by the direction of tubularity of the neurites.  ...  With an increasing demand for high throughput neuronal image analysis, we propose an automated scheme to perform segmentation in a variational framework.  ...  Leakage of the contour outside vessel boundaries is prohibited by the vessel indicator function N(x) which provides evidence of tubularity by assuming higher value for the tubular objects than non tubular  ... 
doi:10.1109/tip.2014.2378052 pmid:25494506 fatcat:ly2nt6tek5czpbjzpsofl7gyyq

Multiscale vessel enhancement filtering [chapter]

Alejandro F. Frangi, Wiro J. Niessen, Koen L. Vincken, Max A. Viergever
1998 Lecture Notes in Computer Science  
The multiscale second order local structure of an image (Hessian) is examined with the purpose of developing a vessel enhancement filter.  ...  Its clinical utility is shown by the simultaneous noise and background suppression and vessel enhancement in maximum intensity projections and volumetric displays.  ...  Theo van Walsum, Onno Wink and Joes Staal for fruitful discussions and various contributions to the paper.  ... 
doi:10.1007/bfb0056195 fatcat:tqtoxxal7jebzi4b3rxyxsfhyq

3D segmentation of keratin intermediate filaments in confocal laser scanning microscopy

G. Herberich, R. Windoffer, R. Leube, T. Aach
2011 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
Segmenting KFs is a key component for analyzing their dynamic and biomechanical properties.  ...  In this paper, we propose and compare different methods for the 3D segmentation of keratin intermediate filaments (KFs) in images acquired using confocal laser scanning microscopy (CLSM).  ...  The authors gratefully acknowledge for funding by the German Research Council (DFG, AA5/5-1, LE566/18-1, WI1731/8-1).  ... 
doi:10.1109/iembs.2011.6091910 pmid:22256135 dblp:conf/embc/HerberichWLA11 fatcat:3vb3qwmaybeqhhdciocxeaqwai

Directional ratio based on parabolic molecules and its application to the analysis of tubular structures

Demetrio Labate, Pooran Negi, Burcin Ozcan, Manos Papadakis, Manos Papadakis, Vivek K. Goyal, Dimitri Van De Ville
2015 Wavelets and Sparsity XVI  
As advances in imaging technologies make more and more data available for biomedical applications, there is an increasing need to develop efficient quantitative algorithms for the analysis and processing  ...  We show that this algorithm is very effective for the detection of somas and the extraction of neurites in images of small circuits of neurons.  ...  We here describe the 2D Soma Segmentation Algorithm which is the step where our directional ratio method plays a major role.  ... 
doi:10.1117/12.2186259 fatcat:sfijcgjzyfgydfd3sn7kvmvueq

Bright Lesion Detection in Color Fundus Images Based on Texture Features

V. Ratna Bhargavi, Ranjan K. Senapati, Ganesh Methra, Sujitha Kandanulu
2016 Research Journal of Applied Sciences Engineering and Technology  
The proposed screening system is used to identify the suspicious regions for bright lesions.  ...  In this study a computer aided screening system for the detection of bright lesions or exudates using color fundus images is proposed.  ...  This is shown in Fig. 2d . Segmentation of opticdisk and vessels: In this stage first we extract the Optic Disk (OD) and main vessel parts.  ... 
doi:10.19026/rjaset.12.2343 fatcat:ooi54oagzbfqzili7obakkgqri

Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks [article]

Russell Bates, Benjamin Irving, Bostjan Markelc, Jakob Kaeppler, Ruth Muschel, Vicente Grau, Julia A. Schnabel
2017 arXiv   pre-print
Typically, vessels are extracted by either a segmentation and thinning pipeline, or by direct tracking. Neither of these methods are well suited to microscopy images of tumor vasculature.  ...  We demonstrate the effectiveness of this hybrid convolutional-recurrent architecture over both 2D and 3D convolutional comparators.  ...  The majority of classical vessel segmentation and extraction techniques rely on the tubular appearance of enhanced vasculature within an image.  ... 
arXiv:1705.09597v1 fatcat:63e2zjuknfdy5kblst4f4revyy
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