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Directional Invariance of Co-occurrence Matrices within the Liver

Carl Philips, Daniel Li, Daniela Raicu, Jacob Furst
2008 2008 International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies  
In this paper we analyze the directional invariance of Co-occurrence matrices for the purpose of reducing their runtime by reducing the number of directions analyzed without negatively affecting the quality  ...  Co-occurrence matrices are one of three texture algorithms commonly used on Computed Tomography (CT) images.  ...  Directions 1-4 are the four directions commonly used in 2D co-occurrence matrices while directions 5-13 are the additional nine directions used in 3D co-occurrence matrices.  ... 
doi:10.1109/biotechno.2008.24 dblp:conf/biotechno/PhilipsLRF08 fatcat:c2vhzwc5tzayle4qtnd3thndo4

A co-occurrence texture semi-invariance to direction, distance, and patient size

Ruchaneewan Susomboon, Daniela Raicu, Jacob Furst, Timothy Ben Johnson, Joseph M. Reinhardt, Josien P. W. Pluim
2008 Medical Imaging 2008: Image Processing  
the texture properties of an organ of interest, specifically, the liver.  ...  Given that the calculation of the co-occurrence texture model is a computationally-intensive task, in this paper we investigate the usefulness of using all possible angles and all displacements for capturing  ...  Then we calculated 16 co-occurrence matrices for each liver region corresponding to four directions (0°, 45°, 90°, 135°) and four displacements (1, 2, 4, and 8) as indicated in Figure 3 .  ... 
doi:10.1117/12.771068 dblp:conf/miip/SusomboonRFJ08 fatcat:juvmlgmbjvb7jki3334a26fghy

Shape and texture analysis of liver cell nuclei in hepatomas by computer aided microscopy

R Jagoe, C Sowter, G Slavin
1984 Journal of Clinical Pathology  
The grey level images of the liver cell nuclei were then analysed. One section was examined from each liver, and liver parenchymal cell nuclei were chosen at random in each section.  ...  Material and methods Liver biopsy material was obtained from the diagnostic files of Northwick Park Hospital and the Clinical Research Centre.  ...  Table 3 3 Correlations between five features derived from the co-occurrence matrices.  ... 
doi:10.1136/jcp.37.7.755 pmid:6086724 pmcid:PMC498804 fatcat:tdvkadbfrncrfb5wtak4swifvi


B. Thamaraichelvi, G. Yamuna.
2016 International Journal of Advanced Research  
Acknowledgement :- The authors are thankful to the Department of Radiology, Raja Muthaiya Medical College and Hospital (RMMCH), Annamalai University for providing us with the required data.  ...  The images have also been collected from the data base http//  ...  The singular value decomposition can be computed using the following observations:- Gray Level Co-Occurrence Matrix (GLCM):-Gray level co-occurrence matrix (GLCM) is recognized as an important tool for  ... 
doi:10.21474/ijar01/1544 fatcat:p6t4un2fjffudaojkjug664nwu

Multidimensional Texture Characterization: On Analysis for Brain Tumor Tissues Using MRS and MRI

Deepa Subramaniam Nachimuthu, Arunadevi Baladhandapani
2014 Journal of digital imaging  
In this paper, the sciences of magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) are combined to improve the accuracy of the classifier, based on the multidimensional co-occurrence  ...  matrices to assess the detection of pathological tissues (tumor and edema), normal tissues (white matter -WM and gray matter -GM), and fluid (cerebrospinal fluid -CSF).  ...  Co-occurrence matrices are collected within a certain VOI and represented as a point in the six-dimensional feature space.  ... 
doi:10.1007/s10278-013-9669-5 pmid:24496552 pmcid:PMC4090400 fatcat:d5ayjha64rd6tejmv5fjoqph4m

A Comparison of Wavelet-Based and Ridgelet-Based Texture Classification of Tissues in Computed Tomography [chapter]

Lindsay Semler, Lucia Dettori
2007 Communications in Computer and Information Science  
The algorithm consists of two steps: automatic extraction of the most discriminative texture features of regions of interest and creation of a classifier that automatically identifies the various tissues  ...  Tests on a large set of chest and abdomen CT images indicate that, among the three wavelet-based algorithms, the one using texture features derived from the Haar wavelet transform clearly outperforms the  ...  Also calculated from these matrices were 4-directional co-occurrence matrices on which the following second order statistics were calculated: Energy, Entropy, Contrast, Homogeneity Sum-mean, Variance,  ... 
doi:10.1007/978-3-540-75274-5_16 fatcat:3ppjd3erjrg3hkyrkw4paix2m4

Texture Analysis in Magnetic Resonance Imaging: Review and Considerations for Future Applications [chapter]

Andrés Larroza, Vicente Bodí, David Moratal
2016 Assessment of Cellular and Organ Function and Dysfunction using Direct and Derived MRI Methodologies  
There is a great variety of methods and techniques to be chosen at each step and all of them can somehow affect the outcome of the texture analysis application.  ...  Quantification of the intrinsic heterogeneity of different tissues and lesions is necessary as they are usually imperceptible to the human eye.  ...  Acknowledgements This work was supported in part by the Spanish Ministerio de Economía y Competitividad  ... 
doi:10.5772/64641 fatcat:sw7nodso7rfpfjohaopmrt2zta

Artificial Neural Network Application in the Diagnosis of Disease Conditions with Liver Ultrasound Images

Karthik Kalyan, Binal Jakhia, Ramachandra Dattatraya Lele, Mukund Joshi, Abhay Chowdhary
2014 Advances in Bioinformatics  
The preliminary study presented within this paper shows a comparative study of various texture features extracted from liver ultrasonic images by employing Multilayer Perceptron (MLP), a type of artificial  ...  between abnormal and normal conditions of the liver.  ...  Lastly, the authors would like to thank the reviewers of the journal "Advances in Bioinformatics" for their valuable comments on improving the quality of the content presented in this paper.  ... 
doi:10.1155/2014/708279 pmid:25332717 pmcid:PMC4181903 fatcat:xbc55cjrlrfv3p5k2mysbdvahm

MaZda – The Software Package for Textural Analysis of Biomedical Images [chapter]

Piotr M. Szczypiński, Michał Strzelecki, Andrzej Materka, Artur Klepaczko
2009 Advances in Soft Computing  
The software was written to compute a variety of textural features within arbitrarily shaped regions of interest.  ...  The software was used for research within framework of COST B11 and COST B21 multi-center international projects and it has proven to be an efficient tool for quantitative analysis of magnetic resonance  ...  Acknowledgments Acknowledgments Acknowledgments Acknowledgments The development of MaZda package was in part done within the COST B11 and B21 European projects.  ... 
doi:10.1007/978-3-642-04462-5_8 fatcat:tfoutoqbpzhgrolqjue5uizx5q

Preliminary study of tumor heterogeneity in imaging predicts two year survival in pancreatic cancer patients

Jayasree Chakraborty, Liana Langdon-Embry, Kristen M. Cunanan, Joanna G. Escalon, Peter J. Allen, Maeve A. Lowery, Eileen M. O'Reilly, Mithat Gönen, Richard G. Do, Amber L. Simpson, Surinder K. Batra
2017 PLoS ONE  
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers in the United States with a five-year survival rate of 7.2% for all stages.  ...  properties that may predict the degree of PDAC differentiation [15] or the interaction of tumor cells and pancreatic stroma [16] .  ...  ] , run-length matrices (RLM) [27] , local binary patterns (LBP) [28, 29] , fractal dimension (FD) [30] , intensity histogram (IH), and angle co-occurrence matrices (ACM) [31, 32] .  ... 
doi:10.1371/journal.pone.0188022 pmid:29216209 pmcid:PMC5720792 fatcat:vjuziereujgunoled6ix6eoflq

Clinical Feasibility of Quantitative Ultrasound Texture Analysis: A Robustness Study Using Fetal Lung Ultrasound Images

Alvaro Perez‐Moreno, Mara Dominguez, Federico Migliorelli, Eduard Gratacos, Montse Palacio, Elisenda Bonet‐Carne
2018 Journal of ultrasound in medicine  
Three of the 5 methods (gray-level co-occurrence matrix, local binary patterns, and rotation-invariant local phase quantization) had favorably robust performance when using the non-US database.  ...  Results from the US database confirmed robustness for all of the evaluated methods (gray-level co-occurrence matrix, local binary patterns, and rotation-invariant local phase quantization) when comparing  ...  GLCM, Gray-744 Level Co-occurrence Matrices. LBP, Low Binary Patterns.  ... 
doi:10.1002/jum.14824 pmid:30269384 fatcat:zuaxjoo7qjhpxjcn2ecox5ywji

Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT

Adrien Depeursinge, Camille Kurtz, Christopher Beaulieu, Sandy Napel, Daniel Rubin
2014 IEEE Transactions on Medical Imaging  
The organization of scales and directions that are specific to every VST are modeled as linear combinations of directional Riesz wavelets.  ...  A preliminary evaluation of the proposed framework was carried out using 74 liver lesions annotated with a set of 18 VSTs from the RadLex ontology.  ...  Acknowledgments This work was supported by the Swiss National Science Foundation (PBGEP2_142283), and the National Cancer Institute, National Institutes of Health (U01-CA-142555 and R01-CA-160251).  ... 
doi:10.1109/tmi.2014.2321347 pmid:24808406 pmcid:PMC4129229 fatcat:y32sv3lkdndjpox6phsi6t6q24

The logic of transcriptional regulator recruitment architecture at cis-regulatory modules controlling liver functions

Julie Dubois-Chevalier, Vanessa Dubois, Hélène Dehondt, Parisa Mazrooei, Claire Mazuy, Aurélien A. Sérandour, Céline Gheeraert, Penderia Guillaume, Eric Baugé, Bruno Derudas, Nathalie Hennuyer, Réjane Paumelle (+6 others)
2017 Genome Research  
B.S. is a member of the Institut Universitaire de France and is supported by the European Research Council (ERC Grant Immunobile, contract 694717).  ...  Acknowledgments The authors thank Dr. D'Santos C. and the proteomic core facility at Cancer Research UK (Cambridge, UK) for processing RIME samples.  ...  Multidimensional scaling and hierarchical clustering analyses of TR co-occurrence TR co-occurence at CRMs from classes D, E, F, or G was used to calculate Tanimoto distance matrices, which were used for  ... 
doi:10.1101/gr.217075.116 pmid:28400425 pmcid:PMC5453331 fatcat:rtx2boj5affcjkifm5q7k5kt4i

An automatic diagnostic system for CT liver image classification

E-Liang Chen, Pau-Choo Chung, Ching-Liang Chen, Hong-Ming Tsai, Chein-I Chang
1998 IEEE Transactions on Biomedical Engineering  
It is implemented by a modified probabilistic neural network (PNN) [MPNN] in conjunction with feature descriptors which are generated by fractal feature information and the gray-level co-occurrence matrix  ...  normal liver, two types of liver tumors, hepatoma and hemageoma.  ...  The inputs to the MPNN are a set of feature descriptors that are generated by gray-level co-occurrence matrices and a NFB motion model.  ... 
doi:10.1109/10.678613 pmid:9609943 fatcat:orv4ym7qgbgvxop3wfv4fmcbd4

Identification of regulatory regions which confer muscle-specific gene expression

Wyeth W Wasserman, James W Fickett
1998 Journal of Molecular Biology  
Additionally, it would be advantageous to identify regulatory regions within genes of known expression pattern without performing the costly and time consuming laboratory studies now required.  ...  Through the use of logistic regression analysis, the model promises to be easily modi®ed to take advantage of the elucidation of additional factors, cooperation rules, and spacing constraints.  ...  Acknowledgments This work was supported by the Public Health Service grant no. HG00981-01A1 from the National Human Genome Research Institute.  ... 
doi:10.1006/jmbi.1998.1700 pmid:9571041 fatcat:f3szg5dehjgmhdkrwhre76nkoy
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