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Anatomically Based Geometric Modelling Using Medical Image Data: Methods and Programs

Monan Wang, Lei Sun, Yuming Liu
2015 Open Biomedical Engineering Journal  
This software implements medical image segmentation using the method combining the region growing and the interactive segmentation.  ...  And then, to legitimately express the structural information of skeleton and muscle, the software is employed to obtain the geometric model using the segmentation and three-dimensional reconstruction for  ...  In this study, we combined the region growing method, which is based on the gray level difference, and the interactive segmentation method, which is based on the edge fill algorithm, the combination of  ... 
doi:10.2174/1874120701509010126 pmid:26089991 pmcid:PMC4468590 fatcat:3tvdr6nykjeipgcmdr4i7yj7fe

An Integrated Interactive Technique for Image Segmentation using Stack based Seeded Region Growing and Thresholding

Sirshendu Hore, Souvik Chakraborty, Sankhadeep Chatterjee, Nilanjan Dey, Amira S. Ashour, Le Van Chung, Dac-Nhuong Le
2016 International Journal of Electrical and Computer Engineering (IJECE)  
A novel real time integrated method was developed in the current work to locate the segmented region of interest of an image based on the Region Growing segmentation method along with the thresholding  ...  <p>Image segmentation is a challenging process in numerous applications. Region growing is one of the segmentation techniques as a basis for the Seeded Region Growing method.  ...  Consequently, the current study is concerned with developing an interactively integrate system based on the Region Growing segmentation method along with the thresholding supported image segmentation.  ... 
doi:10.11591/ijece.v6i6.11801 fatcat:esobwt4hvfduddxsbpnood3xri

Make Your Picture More Attractive – An Interactive System for Image Blur

Qingwei Wang
2012 International Journal of Computer and Communication Engineering  
In foreground extraction step, firstly, we select meanshift based segmentation method to get over-segmented regions. Then we extract both texture and color features for each region.  ...  Furthermore, based on input stroke information, the foreground centroids are clustered and all regions are classified into foreground and background considering both feature value and coordinate value.  ...  But we use different segmentation method and propose new method for foreground region growing based on the input stroke information.  ... 
doi:10.7763/ijcce.2012.v1.113 fatcat:gu2hbh6iqrg7vpos77kmmz5n7a

A Segmentation and Analysis Method for MRI Data of the Human Vocal Tract [chapter]

Johannes Behrends, Phil Hoole, Gerda L. Leinsinger, Hans G. Tillmann, Klaus Hahn, Maximilian Reiser, Axel Wismüller
2003 Informatik aktuell  
In this paper a method for three-dimensional modeling of the human vocal tract based on T1-weighted MRI data sets is introduced.  ...  Reconstruction of the vocal tract shape is realized by three-dimensional region growing within the vocal tract after teeth phantoms are matched into the MRI data set.  ...  For segmentation a simple algorithm based on three-dimensional region growing is introduced (sec. 3).  ... 
doi:10.1007/978-3-642-18993-7_38 fatcat:vsdifsaqubhxdktabkxuzxohkq

Current Methods in Medical Image Segmentation

Dzung L. Pham, Chenyang Xu, Jerry L. Prince
2000 Annual Review of Biomedical Engineering  
We conclude with a discussion on the future of image segmentation methods in biomedical research.  ...  Current segmentation approaches are then reviewed with an emphasis on the advantages and disadvantages of these methods for medical imaging applications.  ...  Figure 3 3 Figure 3 Feature space methods and region growing. (a) Histogram showing three apparent classes. (b) 2-D feature space. (c) Example of region growing.  ... 
doi:10.1146/annurev.bioeng.2.1.315 pmid:11701515 fatcat:kprri6xgczae3dlycdec4qix5a

Rendering and interaction in co-operative 3-D image analysis

Klaus Toennies, Manfred Hinz, Regina Pohle
2001 Excerpta Medica: International Congress Series  
Most interactive segmentation methods are defined at a 2-d level requiring sometimes extensive interaction when the object of interest is difficult to be outlined by simple means of segmentation.  ...  The approach is based on a concept of a co-operative system that communicates with the user for finding the best rendition and analysis.  ...  As a consequence, a wide variety of segmentation methods based on different models has been developed.  ... 
doi:10.1016/s0531-5131(01)00092-9 fatcat:7ygzya476rgjhlkiad6ongtzjm

Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation [chapter]

Jonathan Weber, Sébastien Lefèvre, Pierre Gançarski
2011 Lecture Notes in Computer Science  
In order to face the various needs of users, user-driven segmentation methods are expected to provide more relevant results than fully automatic approaches.  ...  Within Mathematical Morphology, several user-driven approaches have been proposed, mostly relying on the watershed transform.  ...  [8] propose a segmentation tool based on an initial interactive frame segmentation.  ... 
doi:10.1007/978-3-642-21569-8_16 fatcat:nugoawwd4ncjbh66xjdeov5hhi

A New Parallel Segmentation Algorithm for Medical Image

Sun Yongqian, Liang Xi
2015 International Journal of Signal Processing, Image Processing and Pattern Recognition  
As one of the classical methods, regional growth algorithms have some problems: it is hard to confirm the feed points automatically.  ...  So that, combining them and the idea of the algorithm is: classify by SVM to search the seed points, segment by regional growth method.  ...  Image Segmentation based on Region Growing Method The region growing algorithms, the basic idea of which based on region growing method integrates similar pixel points into a region, have proven to be  ... 
doi:10.14257/ijsip.2015.8.2.14 fatcat:2ftqpo4al5gdhn75eozbwwombi

Interactive exemplar-based segmentation toolkit for biomedical image analysis

Xiang Li, Zhi Zhou, Philipp Keller, Hongkui Zeng, Tianming Liu, Hanchuan Peng
2015 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)  
Index Terms-interactive image segmentation, learning based approach  ...  Based on a local contrast-constrained region growing scheme, each connected component in the whole image would be filtered by the features from exemplars, forming an "exemplar-matching" group which passed  ...  Figure 3 . 3 Algorithmic Pipeline for GVF-based segmentation. Figure 4 . 4 Cell segmentation results on two sample images.  ... 
doi:10.1109/isbi.2015.7163842 dblp:conf/isbi/LiZKZLP15 fatcat:trqtkxiomvbu7kao6ucd4adbhu

Real-time 3D point cloud segmentation using Growing Neural Gas with Utility

Yuichiro Toda, Zhaojie Ju, Hui Yu, Naoyuki Takesue, Kazuyoshi Wada, Naoyuki Kubota
2016 2016 9th International Conference on Human System Interactions (HSI)  
Our segmentation method is based on a region growing method whose similarity value uses the inner value of two normal vectors connected by the topological structure.  ...  This paper proposes a real-time feature extraction and segmentation method for a 3D point cloud.  ...  Our proposed method is basically based on the region growing approach.  ... 
doi:10.1109/hsi.2016.7529667 dblp:conf/hsi/TodaJYTWK16 fatcat:5uomwrodz5ajrm43ebbm32oh5m

GPU-Based Interactive Segmentation For Planning And Performing Neurosurgical Interventions

U Eisenmann, M Wirths, R Metzner, C Auer, H Dickhaus
2013 Biomedical Engineering  
As a more intuitive alternative we developed an interactive segmentation scheme combining GPU-based segmentation with volume rendering, in order to monitor the process in real time.  ...  This method was integrated into our neurosurgical planning system MOPS 3D and is currently evaluated.  ...  Methods MOPS 3D is based on C++, OpenGL and the Voreen volume renderer [3] .To implement algorithms on the GPU, CUDA (NVIDIA Corporation) and OpenCL (Khronos Group) are available.  ... 
doi:10.1515/bmt-2013-4256 pmid:24042941 fatcat:mkvjpaakibbbjpjoyudt3b6aci

Research on the three-dimensional segmentation of tissue content based on CT

Xiang Pan, Jie Wang, Weipeng Tai
2019 Journal of Physics, Conference Series  
This framework is mainly composed of bone extraction methods based on level set, visceral culling, muscle and fat segmentation based on threshold segmentation methods.  ...  In order to extract and measure the proportion of each tissue directly from living body, this paper proposes a framework of tissue segmentation and measurement based on CT images.  ...  Based on the rough segmentation of the three-dimensional regional growth method, Dai [5] et al. refined the results of the segmentation, and removed the trachea and the main bronchus through the connected-domain  ... 
doi:10.1088/1742-6596/1168/4/042013 fatcat:i5y4vzae35hq3f6oi5jvw5vymi

Semi-automatic Segmentation of Brain Tumors Using Population and Individual Information

Yao Wu, Wei Yang, Jun Jiang, Shuanqian Li, Qianjin Feng, Wufan Chen
2013 Journal of digital imaging  
This paper proposes a novel semi-automatic segmentation method based on population and individual statistical information to segment brain tumors in magnetic resonance (MR) images.  ...  First, high-dimensional image features are extracted.  ...  From Fig. 5 , we can see the high-dimensional features based on GLCM and MGH produce more accurate segmentation results.  ... 
doi:10.1007/s10278-012-9568-1 pmid:23319111 pmcid:PMC3705006 fatcat:gj3brk2mpndnpjzmyrtbftiopa

3D Liver Tumor Segmentation in CT Images Using Improved Fuzzy C-Means and Graph Cuts

Weiwei Wu, Shuicai Wu, Zhuhuang Zhou, Rui Zhang, Yanhua Zhang
2017 BioMed Research International  
In this paper, an efficient semiautomatic method was proposed for liver tumor segmentation in CT volumes based on improved fuzzy C-means (FCM) and graph cuts.  ...  With a single seed point, the tumor volume of interest (VOI) was extracted using confidence connected region growing algorithm to reduce computational cost.  ...  [14] proposed an interactive segmentation method based on watershed and graph cuts.  ... 
doi:10.1155/2017/5207685 pmid:29090220 pmcid:PMC5635475 fatcat:frcdyiwyhbfxhnj3jwqryh2bby

Automatic Fuzzy-based Hybrid Approach for Segmentation and Centerline Extraction of Main Coronary Arteries

Khadega Khaled, Mohamed A., Khaled Mostafa
2017 International Journal of Advanced Computer Science and Applications  
Finally, the centerlines of the segmented arteries are extracted based on the segmented 3D binary volume using a skeletonization based method.  ...  The proposed automatic hybrid segmentation approach combines the Hough transform with a fuzzy-based region growing algorithm.  ...  In addition, cardiac image segmentation methods could be categorized into six main methods: 1) histogram based methods; 2) statistical model based methods; 3) region based methods; 4) graph based methods  ... 
doi:10.14569/ijacsa.2017.080633 fatcat:wd4o4yoeu5dqlg2ouw7xmimq34
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