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Automatic Segmentation of Cardiac MRI Using Snakes and Genetic Algorithms [chapter]

Gustavo Miranda Teixeira, Igor Ramalho Pommeranzembaum, Bernardo Lino de Oliveira, Marcelo Lobosco, Rodrigo Weber dos Santos
2008 Lecture Notes in Computer Science  
In this work we study and implement techniques for the automatic segmentation of cardiac Magnetic Resonance Images.  ...  We propose a new external force to improve the convergence of the Snakes method. In addition, a genetic algorithm is used to find the best set of configuration parameters for the Snakes method.  ...  Acknowledgments The authors would like to acknowledge the reviewers for their comments and suggestions that significantly improved the quality of this work.  ... 
doi:10.1007/978-3-540-69389-5_20 fatcat:rj2pp4nnp5fmpofrqfl5xhxzki

Bone segmentation using multiple communicating snakes

Lucia Ballerini, Leonardo Bocchi, Milan Sonka, J. Michael Fitzpatrick
2003 Medical Imaging 2003: Image Processing  
Contour energy is optimized using a genetic algorithm. Chromosomes are used to encode positions of snake points, using a polar representation.  ...  Experimental results show the method allows to achieve an accurate segmentation of the bone complexes in the region of interest.  ...  In this work we evaluate the application of genetic snakes to the segmentation of a subpart of the hand, the first finger.  ... 
doi:10.1117/12.481370 dblp:conf/miip/BalleriniB03 fatcat:4dxyqvuo3batjjnwmtx24bzjc4

Optimal Parameter Setting of Active-Contours Using Differential Evolution and Expert-Segmented Sample Image

Arman Darvish, Shahryar Rahnamayan
2012 Journal of Advanced Computational Intelligence and Intelligent Informatics  
Thus far, many approaches for image segmentation have been proposed, including the well-known active contour (snake) model.  ...  The appearance of variant noise types makes medical image segmentation a more complicated task.  ...  Another paper by McInerney and Terzopoulos [16] introduced a technique for the segmentation of anatomical structures in medical images using a topologically adaptable snake model.  ... 
doi:10.20965/jaciii.2012.p0677 fatcat:caociovw5rbynnvhlu256pcfpa

Broken Character Image Restoration Using Genetic Snake Algorithm: Deep Concavity Problem

Qusay Omran Mosa, Mohammad Faidzul Nasrudin
2016 Journal of Computer Science  
Active contours also known as snakes became a familiar and widely used in the field of image segmentation and restoration of historical documents in last few decades.  ...  In this study we proposed algorithm to use genetic algorithm with GVF snake algorithm in order to optimize snake points to get right positions in deep concavity boundaries, also adding a Divergence factor  ...  Lucia first introduced genetic-snake approaches to segmentation medical images (Ballerini, 1999) , color image (Lucia, 2001) .  ... 
doi:10.3844/jcssp.2016.81.87 fatcat:46zeidssfrgzrerf2itoc4652u

Contour Fitting using an Adaptive Spline Model

D Rueckert, P Burger
1995 Procedings of the British Machine Vision Conference 1995  
We have studied convergence behavior and performance on artificial and medical images.  ...  This paper presents a new segmentation algorithm by fitting active contour models (or snakes) to objects using adaptive splines.  ...  As the presented results are very encouraging and have demonstrated the robustness for 2D images, there is need to further investigate the influence of the energy function and its parameters.  ... 
doi:10.5244/c.9.21 dblp:conf/bmvc/RueckertB95 fatcat:dhdyh7dm25fnlj6gmhsd2yizfq

A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis

Pablo Mesejo, Óscar Ibáñez, Óscar Cordón, Stefano Cagnoni
2016 Applied Soft Computing  
In particular, we present a complete study on the application of metaheuristics to image segmentation based on deformable models.  ...  Deformable models are segmentation techniques that adapt a curve with the goal of maximizing its overlap with the actual contour of an object of interest within an image.  ...  The former provides a state-of-the-art survey on the application of the principles of genetic algorithms to medical image segmentation, only focusing onto this metaheuristic and considering all kinds  ... 
doi:10.1016/j.asoc.2016.03.004 fatcat:3mgmo7vuurd4tnijod5a5kwn7m

Improved B-Spline Contour Fitting Using Genetic Algorithm for the Segmentation of Dental Computerized Tomography Image Sequences

Xiaoling Wu, Hui Gao, Hoon Heo, Oksam Chae, Jinsung Cho, Sungyoung Lee, Young-Koo Lee
2007 Journal of Imaging Science and Technology  
Many snake algorithms have been proposed for medical image analysis applications.  ...  CT images are saved in DICOM format, an international standard for medical images, after acquisition through the commercially available Shimadzu Ltd. SCT-7800 CT scanner.  ... 
doi:10.2352/j.imagingsci.technol.(2007)51:4(328) fatcat:rnaqkkweivb4bekdbszqthqzdq

Multiple Active Contours Driven by Particle Swarm Optimization for Cardiac Medical Image Segmentation

I. Cruz-Aceves, J. G. Aviña-Cervantes, J. M. López-Hernández, S. E. González-Reyna
2013 Computational and Mathematical Methods in Medicine  
Finally, to assess the performance of the medical image segmentations with respect to regions outlined by experts and by the graph cut method objectively and quantifiably, a set of distance and similarity  ...  This paper presents a novel image segmentation method based on multiple active contours driven by particle swarm optimization (MACPSO).  ...  The authors thank Ehsan Shahamatnia at Universidade Nova de Lisboa for kindly supplying them the source of the symmetrical cross and noisy circle test images, respectively.  ... 
doi:10.1155/2013/132953 pmid:23762177 pmcid:PMC3665182 fatcat:htwaeeshz5fwjeleumflgnk5mi

Optimum Features selection by fusion using Genetic Algorithm in CBIR

Chandrashekhar G.Patil, Mahesh.T. Kolte, Prashant N.Chatur, Devendra S. Chaudhari
2014 International Journal of Image Graphics and Signal Processing  
Object oriented image segmentation along with the evolutionary computational technique is proposed here for Image Retrieval Algorithm.  ...  The evaluation of the performance of the Content Based Image Retrieval is undertaken for the consideration in this paper.  ...  As compared to most of the other image segmentation techniques, the snakes are continuously active.  ... 
doi:10.5815/ijigsp.2015.01.04 fatcat:muupnu7ijrdmzkwan5itzdhtwi

Automatic classification framework for ventricular septal defects: a pilot study on high-throughput mouse embryo cardiac phenotyping

Zhongliu Xie, Xi Liang, Liucheng Guo, Asanobu Kitamoto, Masaru Tamura, Toshihiko Shiroishi, Duncan Gillies
2015 Journal of Medical Imaging  
Our approach leverages a combination of atlas-based segmentation and snake evolution techniques to derive the segmentation of heart ventricles, where VSD classification is achieved by checking whether  ...  A workload of this scale has triggered numerous studies harnessing image informatics for the identification of morphological defects.  ...  preliminary ventricle segmentation for each image, which after minor erosion, were then used as the initialization seed for snake evolution.  ... 
doi:10.1117/1.jmi.2.4.041003 pmid:26835488 pmcid:PMC4717189 fatcat:rgitrmgimje7nkbej4rnkgofem

Segmentation of brain tissue from magnetic resonance images

Tina Kapur, W.Eric L. Grimson, William M. Wells III, Ron Kikinis
1996 Medical Image Analysis  
The Segmentation Problem We are interested in the problem of segmentation of medical data into anatomical structures, which is an interesting and important step for many medical imaging applications that  ...  In Chapter 6 we survey other related work in medical image segmentation.  ... 
doi:10.1016/s1361-8415(96)80008-9 pmid:9873924 fatcat:n5v5q7l4czggjeqrjic4e7imci

Segmentation of the left heart ventricle in ultrasound images using a region based snake

Matilda Landgren, Niels Christian Overgaard, Anders Heyden, Sebastien Ourselin, David R. Haynor
2013 Medical Imaging 2013: Image Processing  
Ultrasound imaging of the heart is a non-invasive method widely used for different applications.  ...  This paper presents a semi-automated segmentation method that uses a region based snake.  ...  The project ENGROSS, funded by the Swedish Foundation for Strategic Research, has also contributed to this work.  ... 
doi:10.1117/12.2001284 dblp:conf/miip/LandgrenOH13 fatcat:fwvwnyajcffcpap4yjkjzlmt74

Multiple Active Contours Guided by Differential Evolution for Medical Image Segmentation

I. Cruz-Aceves, J. G. Avina-Cervantes, J. M. Lopez-Hernandez, H. Rostro-Gonzalez, C. H. Garcia-Capulin, M. Torres-Cisneros, R. Guzman-Cabrera
2013 Computational and Mathematical Methods in Medicine  
Finally, to obtain a quantitative and qualitative evaluation of the medical image segmentations compared to regions outlined by experts, a set of distance and similarity metrics has been adopted.  ...  This paper presents a new image segmentation method based on multiple active contours guided by differential evolution, called MACDE.  ...  Solórzano-Zepeda at the Cardiology Deparment of the Mexican Social Security Institute, UMAE T1 León for their clinical advice and assistance during data collection.  ... 
doi:10.1155/2013/190304 pmid:23983809 pmcid:PMC3741942 fatcat:5fw7xc7g2ndgngvfm6bdtlaseu

A Comparative Analysis of MRI Brain Tumor Segmentation Technique

Anubha Lakra, R.B. Dubey
2015 International Journal of Computer Applications  
This paper presents a performance analysis of image segmentation techniques, viz., Genetic algorithm, K-Means Clustering and Fuzzy C-Means clustering for detection of brain tumor from brain MRI images.  ...  General Terms Segmentation algorithms, Brain tumor Keywords MRI brain tumor, segmentation, Genetic algorithm, K-means clustering and Fuzzy C-means clustering.  ...  In reference [26] author explored the possibility of applying techniques for segmenting the regions of medical image.  ... 
doi:10.5120/ijca2015905922 fatcat:sm2s5g23pbayjok5ojphqliilq

Medical Image Segmentation through Bat-Active Contour Algorithm

Rabiu O. Isah, Aliyu D. Usman, A. M. S. Tekanyi
2017 International Journal of Intelligent Systems and Applications  
The results obtained for traditional ACM show low similarity measures between it and expertly segmented images.  ...  The results obtained show high similarity measures between BA-A CM algorithm and expert segmented images.  ...  The snake model has a myriad of applications in medical image segmentation such as breast tumor, u ltrasound images, breast lesion and liver cirrhosis segmentation.  ... 
doi:10.5815/ijisa.2017.01.03 fatcat:gpis3odv7rf5zcoysuv7vsaldq
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