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Local Orientation Smoothness Prior for Vascular Segmentation of Angiography [chapter]

Wilbur C. K. Wong, Albert C. S. Chung, Simon C. H. Yu
2004 Lecture Notes in Computer Science  
The method we propose uses a novel a priori -local orientation smoothness prior -to enforce an adaptive regularization constraint for the vascular segmentation within the Bayes' framework.  ...  We present a new generic method for vascular segmentation of angiography. Angiography is used for the medical diagnosis of arterial diseases.  ...  Westin for the fruitful discussions, and providing MATLAB codes on the construction of the quadrature filters at the early stage of the software development. They would also like to thank Craig C. W.  ... 
doi:10.1007/978-3-540-24671-8_28 fatcat:vawxbxguazd25dsbo3beo6pohe

Image Segmentation Methods for Detecting Blood Vessels in Angiography

Albert C. S. Chung
2006 2006 9th International Conference on Control, Automation, Robotics and Vision  
Computer-assisted detection and segmentation of blood vessels in angiography are crucial for endovascular treatments and embolization.  ...  In this article, I give an overview of the image segmentation methods using the features developed recently at our laboratory. Our current research directions are also highlighted.  ...  the local phase coherence feature.  ... 
doi:10.1109/icarcv.2006.345331 dblp:conf/icarcv/Chung06 fatcat:5qn77vkgozg75kcobmpsocmh5e

Anisotropic Curvature Motion for Structure Enhancing Smoothing of 3D MR Angiography Data

Oliver Nemitz, Martin Rumpf, Tolga Tasdizen, Ross Whitaker
2006 Journal of Mathematical Imaging and Vision  
The problem is formulated in a level set framework, and a stable and robust method for the identification of the local prior is presented.  ...  The anisotropic area functional incorporates a locally adapted template as a shape prior for tubular vessel structures consisting of elongated, ellipsoidal shape models.  ...  Scorzin from the Neurosurgery Hospital at Bonn Medical Center for providing the MRA data.  ... 
doi:10.1007/s10851-006-0645-2 fatcat:jvuaswdk7nauvl5i4brmnoaqay

Bayesian image segmentation using local iso-intensity structural orientation

W.C.K. Wong, A.C.S. Chung
2005 IEEE Transactions on Image Processing  
The algorithm uses a novel smoothness prior to improve the quality of image segmentation. The formulation of the prior is based on the coherence of the local structural orientation in the image.  ...  The segmentation process is performed in a Bayesian framework. Local structural orientation estimation is obtained with an orientation tensor.  ...  Yu of the Department of Diagnostic Radiology and Organ Imaging, Prince of Wales Hospital, Hong Kong, for providing the clinical data and helping the segmentation, as well as the anonymous reviewers for  ... 
doi:10.1109/tip.2005.852199 pmid:16238057 fatcat:yetpblt4njflbftgbczjb7pka4

Inference of Cerebrovascular Topology with Geodesic Minimum Spanning Trees

Stefano Moriconi, Maria A. Zuluaga, H. Rolf Jager, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
2018 IEEE Transactions on Medical Imaging  
field representing the orientation of the underlying vasculature.  ...  The inferred geodesic trees are then quantitatively evaluated within a topologically aware framework, by comparing the proposed method against popular vascular segmentation tool kits on clinical angiographies  ...  In [35] and [40] , a comprehensive collection of methods and techniques for general vascular image segmentation is reviewed, by categorizing different segmentation frameworks by their characteristic  ... 
doi:10.1109/tmi.2018.2860239 pmid:30059296 pmcid:PMC6319031 fatcat:dj3qvudhxngdhe4afipwus4zle

A Visualization System for the Clinical Evaluation of Cerebral Aneurysms from MRA Data [article]

James S. Perrin, A. Lacey, R. Laitt, A. Jackson, Nigel W. John
2001 Eurographics State of the Art Reports  
The software has been designed to meet the specific needs of interventional neuro-radiologists evaluating the suitability of intracranial aneurysms for endovascular coiling and also when planning the procedure  ...  Providing rapid (real-time) interaction with high resolution iso-surfaces derived from Time-of Flight (ToF) Magnetic Resonance Angiography (MRA) data will enable the clinician to quickly assess the ability  ...  This would require prior segmentation and as we have stated the performance of such algorithms is not known.  ... 
doi:10.2312/egs.20011038 fatcat:nivt4cbqkrg2hcnpuc2g544kcu

Restoring three-dimensional magnetic resonance angiography images with mean curvature motion

Claudia Schlimper, Oliver Nemitz, Ulrich Dorenbeck, Jasmin Scorzin, Ross Whitaker, Tolga Tasdizen, Martin Rumpf, Karl Schaller
2010 Neurological Research  
Objective: The management of neurovascular disease requires precise information on the cerebral vascular anatomy.  ...  Regarding visual representation of the posterior part of the circle of Willis, the postprocessed MRA showed the arterial segments less accurate than the standard modalities.  ...  These Wulff shapes serve as suitable local priors for a ventricle and reflect the underlying tubular structure.  ... 
doi:10.1179/016164110x12556180206077 pmid:19941735 fatcat:g5az7t4razfnpirk4r5tuncefu

Real-Time Tracking of Contrast Bolus Propagation in Continuously Moving Table MR Angiography [chapter]

Joshua Trzasko, Stephen Riederer, Armando Manduca
2006 Lecture Notes in Computer Science  
A common application of this method is contrast-enhanced angiography, where propagation of an intravenously injected contrast agent is tracked throughout the peripheral vascular tree.  ...  Specifically, we provide a coupled intensitycorrection procedure and modified Fast Marching method for rapid segmentation of contrast enhanced vasculature in CE-MRA and discuss the incorporation of this  ...  Prior to allowance of a past segmentation boundary as the initial condition to the segmentation procedure for a newly acquired image frame, the boundary must first be updated to account for change of the  ... 
doi:10.1007/11866565_101 fatcat:wvbabwc4fna7zmwenilqecyadq

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  
Despite the tremendous amount of past and on-going dedicated research, vascular segmentation remains a challenging task.  ...  Given the size and complexity of modern angiographic acquisitions, segmentation is a key step toward the accurate visualization, diagnosis and quantification of vascular pathologies.  ...  Acknowledgement The authors would like to thank the reviewers for their constructive and thoughtful comments.  ... 
doi:10.1016/ pmid:19818675 fatcat:rroixlliubb6nfmvlhahdqtniq

Nuclear contrast angiography: A simple method for morphological characterization of cerebral arteries

He Meng, Yezi Peng, Rushdee Hasan, Genggeng Yu, Michael M. Wang
2009 Brain Research  
Visualization of the cerebral vascular tree is important in experimental stroke and cerebral vascular malformation research.  ...  We describe a simple method, nuclear contrast angiography, that enables simultaneous visualization of the arterial tree and cerebral endothelial cells in rodent brain whole mounts.  ...  Fortunately, in arteries, the smooth muscle cells are oriented orthogonal to the axis of the vessel and are a significant distance from the endothelium and thus out of the focal plane of the region of  ... 
doi:10.1016/j.brainres.2009.01.020 pmid:19401159 pmcid:PMC2784114 fatcat:w7m2v5mdkrbzths3cez2rjvkna

Automated choroidal neovascularization detection algorithm for optical coherence tomography angiography

Li Liu, Simon S. Gao, Steven T. Bailey, David Huang, Dengwang Li, Yali Jia
2015 Biomedical Optics Express  
Identification and quantification of CNV area is important clinically for disease assessment. An automated algorithm for CNV area detection is presented in this article.  ...  Optical coherence tomography angiography has recently been used to visualize choroidal neovascularization (CNV) in participants with age-related macular degeneration.  ...  Few works have been published about segmentation of CNV from OCT angiography images [15] .  ... 
doi:10.1364/boe.6.003564 pmid:26417524 pmcid:PMC4574680 fatcat:6t7t4btt7rf7fku6yrq4qmk27y

3D vascular path planning of chemo-embolizations using segmented hepatic arteries from MR angiography

AnaiS Badoual, Maxime Gerard, Benjamin de Leener, Nadine Abi-Jaoudeh, Samuel Kadoury
2016 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)  
It requires prior delineation of the hepatic arteries on magnetic resonance angiography (MRA) data and identification of the vessels supplying the tumor.  ...  We present a vascular path planning tool for TACE procedures by automatically segmenting the hepatic arteries on MRA.  ...  Our main contribution consists in proposing an automatic vascular path planning method designed for MR angiography which detects the celiac trunk and bifucations in the arterial network.  ... 
doi:10.1109/isbi.2016.7493516 dblp:conf/isbi/BadoualGLAK16 fatcat:zzbsgcgonfeflhby7ww6lbqvha

Giant aneurysm of an aortocoronary venous bypass graft treated by an endovascular approach

Michał Sojka, Anna Drelich-Zbroja, Maryla Kuczyńska, Elżbieta Czekajska-Chehab, Andrzej Tomaszewski, Tomasz Jargiełło
2019 Advances in Interventional Cardiology  
smooth muscle orientation in the proximity of valves [1] and trauma during surgical handling of the vein [2] .  ...  Consecutive stages of the embolization procedure performed under local anesthesia are presented in Figures 1 B and C .  ...  Conflict of interest The authors declare no conflict of interest.  ... 
doi:10.5114/aic.2019.90226 pmid:31933668 pmcid:PMC6956458 fatcat:mauf4ep2tbcwbhtew2qlrt5lz4

Probabilistic Modeling of Blood Vessels for Segmenting Magnetic Resonance Angiography Images

Ayman El-baz, Ahmed Shalaby, Fatma Taher, Maryam El-Baz, Mohammed Ghazal, Mohamed El-Ghar, ALI Takieldeen, Jasjit Suri
2017 Medical Research Archives  
Coronary vessels are modeled locally as piece-wise linear segments of varying locations, lengths, widths and orientations.  ...  Probabilistic Modeling of Blood Vessels for Segmenting Magnetic Resonance Angiography Images a Gaussian mixture model of the gray-level distribution of the vessel region. combined a prior Gibbs random  ... 
doi:10.18103/mra.v5i3.1031 fatcat:osdj2jhjsbcq3gc45kccvwtnoa

Segmentation of macular fluorescein angiographies. A statistical approach

A. Simó, E. de Ves
2001 Pattern Recognition  
This paper is concerned with the use of Bayesian methods in the segmentation of macular #uorescein angiographies.  ...  Fluorescein angiography is used in ophthalmic practice to evaluate vascular retinopathies and choroidopathies: Sodium #uorescein is injected in the arm's cubital vein of the patient and its distribution  ...  This paper shows the use of Bayesian image analysis for the segmentation of macular angiographies.  ... 
doi:10.1016/s0031-3203(00)00032-7 fatcat:v3fbbhzjzbe2hmz4dculz6ccde
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