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Statistical Neighbor Distance Influence in Active Contours [chapter]

Jing Yang, Lawrence H. Staib, James S. Duncan
2002 Lecture Notes in Computer Science  
The contours evolve both according to the relative distance information and the image grey level information. Several objects in an image can be automatically detected simultaneously.  ...  We introduce a representation for relative neighbor distances, and define a probability distribution over the variances of the relative neighbor distances of a set of training images.  ...  In our active contour model, we will minimize the energy term E neighbor and we will add image gray level information based energy terms and regularizing terms, like the length of the curve C i and (or  ... 
doi:10.1007/3-540-45786-0_73 fatcat:z2omgid62fex5elnfrysimkibq

Modeling Interaction for Segmentation of Neighboring Structures

Pingkun Yan, A.A. Kassim, Weijia Shen, M. Shah
2009 IEEE Transactions on Information Technology in Biomedicine  
During the segmentation process, the object contour evolution and shape prior estimates are influenced by the interactions between neighboring shapes consisting of attraction, repulsion, and competition  ...  This paper presents a new method for segmenting medical images by modeling interaction between neighboring structures.  ...  Shuter of the Department of Diagnostic Radiology at the National University Hospital in Singapore for providing some of the data sets and manual segmentation results used in this study.  ... 
doi:10.1109/titb.2008.2010492 pmid:19171526 fatcat:hf2xxvbrsza7bcslajnmprmyuy

An Active Contour-Based Atlas Registration Model Applied to Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation [chapter]

Valérie Duay, Xavier Bresson, Javier Sanchez Castro, Claudio Pollo, Meritxell Bach Cuadra, Jean-Philippe Thiran
2008 Lecture Notes in Computer Science  
This paper presents a new non parametric atlas registration framework, derived from the optical flow model and the active contour theory, applied to automatic subthalamic nucleus (STN) targeting in deep  ...  Our simultaneous segmentation and registration model shows mean STN localization errors statistically similar to the most performing registration algorithms tested so far and to the targeting expert's  ...  In [8] , the active contour is modeled by the zero level of the well known signed distance function.  ... 
doi:10.1007/978-3-540-85990-1_118 fatcat:cowqbghodreefo72wghlcphyqu

A Framework of Vertebra Segmentation Using the Active Shape Model-Based Approach

Mohammed Benjelloun, Saïd Mahmoudi, Fabian Lecron
2011 International Journal of Biomedical Imaging  
The main advantage of this approach is the application of a statistical model created after a training stage. Thus, the knowledge and interaction of the domain expert intervene in this approach.  ...  We propose a medical image segmentation approach based on the Active Shape Model theory. We apply this method for cervical vertebra detection.  ...  The distance between the corner and its neighboring points plays an important role.  ... 
doi:10.1155/2011/621905 pmid:21826134 pmcid:PMC3149802 fatcat:rpyasqr5v5gwden3ly4y5dfyyu

Brain structures segmentation using optimum global and local weights on mixing active contours and neighboring constraints

Dimitrios Zarpalas, Anastasios Zafeiropoulos, Petros Daras, Nicos Maglaveras, Michael G. Strintzis
2011 Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies - ISABEL '11  
This paper presents a new method for segmenting multiple brain structures by using an optimized mixture of different Active Contour Models (ACMs).  ...  Prior constraints and structures' neighboring interaction are modelled for each structure.  ...  Edge-based term One of the most popular edge-based models is the Geodesic Active Contours model (GAC) [1] . Contour evolution occurs until strong edges are detected.  ... 
doi:10.1145/2093698.2093825 dblp:conf/isabel/ZarpalasZDMS11 fatcat:u2m3osrcozht3kgukqmlea34ui

Segmentation of Neighboring Organs in Medical Image with Model Competition [chapter]

Pingkun Yan, Weijia Shen, Ashraf A. Kassim, Mubarak Shah
2005 Lecture Notes in Computer Science  
Our method is motivated by the observation that evolving neighboring contours should avoid overlapping with each other and this should be able to aid in multiple neighboring objects segmentation.  ...  The contours evolve under the influence of image information, their own shape priors and neighboring MAP shape estimations using level set methods to recover organ shapes.  ...  [5] incorporate statistical shape influence into the evolution process of geodesic active contours [6] by embedding each shapes in the training data set as the zero level set of level set maps.  ... 
doi:10.1007/11566465_34 fatcat:j4jh67jwojeitgolvea6to6fse

A robust region-based active contour for object segmentation in heterogeneous case

W. Aitfares, E. H. Bouyakhf, F. Regragui, A. Herbulot, M. Devy
2014 Pattern Recognition and Image Analysis  
In this paper, we propose a new approach using a local version of the region-based active contour for object segmentation in images presenting heterogeneity in both the object of interest and the background  ...  a disk, sketched at each point along the active contour, with a constant radius size inside and outside the contour.  ...  Introduction Active Contour (AC) is a technique that has become very popular and has been widely used in image segmentation [2-8, 12, 14-15] .  ... 
doi:10.1134/s1054661814010027 fatcat:drgldu4wsrezbhgtezkkslocza

STACOM-SLAWT Challenge: Left Atrial Wall Segmentation and Thickness Measurement Using Region Growing and Marker-Controlled Geodesic Active Contour [chapter]

Shuman Jia, Loïc Cadour, Hubert Cochet, Maxime Sermesant
2017 Lecture Notes in Computer Science  
A region growing algorithm was adapted to segment the left atrial endocardium, whereas the left atrial epicardium was segmented indirectly: a marker-controlled geodesic active contour model was defined  ...  Analyzing the structure of the left atrium can provide precious insights into the pathology of atrial fibrillation, eventually resulting in optimization of treatment plans.  ...  The authors would like to thank Marc-Michel Rohé and Hervé Delingette for their constructive feedback and Inria dtk team (Nicolas Schnitzler and Thibaud Kloczko) for helping in implementing the pipeline  ... 
doi:10.1007/978-3-319-52718-5_23 fatcat:knebxmhdbzgkbjcvhydjllvhta

Segmentation of female pelvic organs in axial magnetic resonance images using coupled geometric deformable models

Zhen Ma, Renato M. Natal Jorge, Teresa Mascarenhas, João Manuel R.S. Tavares
2013 Computers in Biology and Medicine  
The movements of the contours are coupled with each other based on interactive information, and the organ boundaries can be segmented simultaneously.  ...  The segmentation of pelvic structures in magnetic resonance (MR) images of the female pelvic cavity is a challenging task.  ...  Acknowledgements This work was partially done in the scope of the projects "Methodologies to Analyze  ... 
doi:10.1016/j.compbiomed.2012.12.012 pmid:23375002 fatcat:fi3lpyq6ufgzfnuvbpyw4zbfpa

Texture Segmentation via Non-local Non-parametric Active Contours [chapter]

Miyoun Jung, Gabriel Peyré, Laurent D. Cohen
2011 Lecture Notes in Computer Science  
This article introduces a novel active contour model that makes use of non-parametric estimators over patches for the segmentation of textured images.  ...  The Wasserstein distance is more robust than traditional pointwise statistical metrics (such as the Kullback-Leibler divergence) because it takes into account the relative distances between modes in the  ...  Non-local Active Contours Section 2 recalls the non-local active contours energy introduced originally in [10, 11] .  ... 
doi:10.1007/978-3-642-23094-3_6 fatcat:4phrw4kufrc3bgrcggowoxo5si

Unifying Statistical Classification and Geodesic Active Regions for Segmentation of Cardiac MRI

J. Folkesson, E. Samset, R.Y. Kwong, C.-F. Westin
2008 IEEE Transactions on Information Technology in Biomedicine  
This paper presents a segmentation method that extends geodesic active region methods by the incorporation of a statistical classifier trained using feature selection.  ...  The results show potential for clinical studies of scar tissue in late CE-MRI data.  ...  Statistical Classification in Geodesic Active Regions Caselles et al. [26] and Kichenassamy et al.  ... 
doi:10.1109/titb.2007.912179 pmid:18693500 pmcid:PMC3955030 fatcat:cphhbcttebdnrax4ajvp7wonvy

A Generic Framework for Tracking Using Particle Filter With Dynamic Shape Prior

Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum
2007 IEEE Transactions on Image Processing  
The PF also models image statistics such as mean and variance of the given data which can be useful in obtaining proper separation of object and background.  ...  objects in the presence of noise and clutter.  ...  We further generalize the algorithm by including the image statistics (mean and variance of the object and background) in the state vector and formulate a geometric active contour method which drives the  ... 
doi:10.1109/tip.2007.894244 pmid:17491466 pmcid:PMC3654013 fatcat:2gctfjduvvgi3ecq43ofujnqum

Adaptive Sensor Activity Scheduling in Distributed Sensor Networks: A Statistical Mechanics Approach

Abhishek Srivastav, Asok Ray, Shashi Phoha
2009 International Journal of Distributed Sensor Networks  
The sensor network is modeled as a Markov random field on a graph, where concepts of Statistical Mechanics are employed to stochastically activate the sensor nodes.  ...  This article presents an algorithm for adaptive sensor activity scheduling (A-SAS) in distributed sensor networks to enable detection and dynamic footprint tracking of spatial-temporal events.  ...  In Fig. 3 the contour line for p a ¼ 0:3 ¼ p * can be considered as the boundary of the influence patch due the event at s 0 .  ... 
doi:10.1080/15501320802473250 fatcat:kpuxzhrahjduvks4czqozzla7y

Live level set: A hybrid method of livewire and level set for medical image segmentation

Jianhua Yao, David Chen
2008 Medical Physics (Lancaster)  
The level set distance is then factored back into the cost function in the second iteration of graph update. The authors validated LLS using synthetic images.  ...  The LLS replaces the one graph update iteration in the classic livewire with two iterations of graph updates. The first iteration generates an initial contour for a level set computation.  ...  In our method we use the active livewire contour as the initial level set. We then take the distance from the zero-level set to factor into the cost function in determining the best path.  ... 
doi:10.1118/1.2968876 pmid:18841864 pmcid:PMC2673655 fatcat:ltteogajjjesbktlalch6tvnoq

A review of algorithms for medical image segmentation and their applications to the female pelvic cavity

Zhen Ma, João Manuel R.S. Tavares, Renato Natal Jorge, T. Mascarenhas
2010 Computer Methods in Biomechanics and Biomedical Engineering  
The last type is focused due to the intensive investigations on the deformable models that have been done in the last few decades.  ...  In the end the main guidelines that should be considered for designing the segmentation algorithms of the pelvic cavity are proposed.  ...  Acknowledgment This work was partially done in the scope of the projects "Segmentation, Tracking and Motion Analysis of  ... 
doi:10.1080/10255840903131878 pmid:19657801 fatcat:eemy2jme65cx7kawa3tjblbvzq
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