The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Jose Pissolato - One of the best experts on this subject based on the ideXlab platform.
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Alternative proposal for Modal Representation of a Non-transposed Three-Phase Transmission Line with a Vertical Symmetry Plane
IEEE Latin America Transactions, 2009Co-Authors: Sergio Kurokawa, Rodrigo Serra Daltin, Afonso Jose Prado, Jose Pissolato, Luiz Fernando BovolatoAbstract:The objective of this paper is to show an alternative representation in time domain of a non-transposed three-phase transmission line decomposed in its exact modes by using two transformation matrices. The first matrix is Clarke's matrix that is real, frequency independent, easily represented in computational transient programs (EMTP) and separates the line into quasi-modes a, b and zero. After that, Quasi-modes a and zero are decomposed into their exact modes by using a modal transformation matrix whose elements can be synthesized in time domain through standard curve-fitting techniques. The main advantage of this alternative representation is to reduce the processing time because a frequency dependent modal transformation matrix of a three-phase line has nine elements to be represented in time domain while a modal transformation matrix of a two-phase line has only four elements. This paper shows modal decomposition process and eigenvectors of a non-transposed three-phase line with a vertical Symmetry Plane whose nominal voltage is 440 kV and line length is 500 km.
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An Alternative Modal Representation of a Symmetrical Nontransposed Three-Phase Transmission Line
IEEE Transactions on Power Systems, 2007Co-Authors: Sergio Kurokawa, Rodrigo Serra Daltin, Afonso Jose Prado, Jose PissolatoAbstract:The objective of this letter is to propose an alternative modal representation of a nontransposed three-phase transmission line with a vertical Symmetry Plane by using two transformation matrices. Initially, Clarke's matrix is used to separate the line into components alpha,beta, and zero. Because alpha and zero components are not exact modes, they can be considered as being a two-phase line that will be decomposed in its exact modes by using a 2times2 modal transformation matrix. This letter will describe the characteristics of the two-phase line before mentioned. This modal representation is applied to decouple a nontransposed three-phase transmission line with a vertical Symmetry Plane whose nominal voltage is 440kV
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An Alternative Procedure to Decrease the Dimension of the Frequency Dependent Modal Transformation Matrices: Application in Three-Phase Transmission Lines With a Vertical Symmetry Plane
2006 IEEE PES Transmission & Distribution Conference and Exposition: Latin America, 2006Co-Authors: Sergio Kurokawa, Rodrigo Serra Daltin, Afonso Jose Prado, Luiz Fernando Bovolato, Jose PissolatoAbstract:The objective of this paper is to show an alternative representation in time domain of a non-transposed three-phase transmission line decomposed in its exact modes by using two transformation matrices. The first matrix is darkens matrix that is real, frequency independent, easily represented in computational transient programs (EMTP) and separates the line into quasi-modes alpha, beta and zero. After that, quasi-modes alpha and zero are decomposed into their exact modes by using a modal transformation matrix whose elements can be synthesized in time domain through standard curve-fitting techniques. The main advantage of this alternative representation is to reduce the processing time because a frequency dependent modal transformation matrix of a three-phase line has nine elements to be represented in time domain while a modal transformation matrix of a two-phase line has only four elements. This paper shows modal decomposition process and eigenvectors of a non-transposed three-phase line with a vertical Symmetry Plane whose nominal voltage is 440 kV and line length is 500 km
Alan Wee-chung Liew - One of the best experts on this subject based on the ideXlab platform.
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brain Symmetry Plane detection based on fractal analysis
Computerized Medical Imaging and Graphics, 2013Co-Authors: Surani Anuradha Jayasuriya, Alan Wee-chung LiewAbstract:In neuroimage analysis, the automatic identification of Symmetry Plane has various applications. Despite the considerable amount of research, this remains an open problem. Most of the existing work based on image intensity is either sensitive to strong noise or not applicable to different imaging modalities. This paper presents a novel approach for identifying Symmetry Plane in three-dimensional brain magnetic resonance (MR) images based on the concepts of fractal dimension and lacunarity analysis which characterizes the complexity and homogeneity of an object. Experimental results, evaluation, and comparison with two other state-of-the-art techniques show the accuracy and the robustness of our method.
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Symmetry Plane detection in brain image analysis : a survey
Current Medical Imaging Reviews, 2013Co-Authors: Surani Anuradha Jayasuriya, Alan Wee-chung LiewAbstract:Advances in neuroimaging techniques have facilitated the study of anatomical and functional changes in the brain. Image analysis can aid precise diagnosis and treatment by providing quantitative measures. Despite the extensive research, automated analysis of neuroimages still remains a challenging problem. Integration of prior knowledge based on anatomical features can help to improve the accuracy. Brain's bilateral Symmetry and its association with pathology could work as a priori when interpreting neuroimages for clinical diagnosis. This paper brings some of this research together to analyse Symmetry integrated methods in neuroimaging and reviews various state-of-the-art Symmetry Plane detection techniques, applications, and key issues.Department of Electronic and Information Engineerin
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IbPRIA - Fractal Analysis for Symmetry Plane Detection in Neuroimages
Pattern Recognition and Image Analysis, 2013Co-Authors: Surani Anuradha Jayasuriya, Alan Wee-chung LiewAbstract:Despite the considerable amount of research, brain Symmetry Plane detection is still an open problem. In this paper, we present a novel method for Symmetry Plane detection in magnetic resonance (MR) neuroimages based on the textural information and underlying brain’s physiological structure. Fractal dimension and lacunarity analysis are used to locate the Symmetry Plane of the brain. The method was tested on MR data while analyzing the robustness against intensity non-uniformity, noise, and pathology. The proposed method does not need skull-stripping like pre-processing of MR images. The method was compared with another commonly used technique. The results were evaluated by an expert. The experimental results show the viability of our approach.
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Fractal dimension as a Symmetry measure in 3D brain MRI analysis
2012 International Conference on Machine Learning and Cybernetics, 2012Co-Authors: Surani Anuradha Jayasuriya, Alan Wee-chung LiewAbstract:In brain image analysis, the automatic identification of Symmetry Plane has various applications. This paper presents a new method that uses the concept of fractal dimension as a quantitative measure for identifying Symmetry Plane in three-dimensional (3D) brain magnetic resonance (MR) images. The method was tested on various 3D MRI datasets. Robust and accurate results were obtained in our experiments.
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ICMLC - Fractal dimension as a Symmetry measure in 3D brain MRI analysis
2012 International Conference on Machine Learning and Cybernetics, 2012Co-Authors: Surani Anuradha Jayasuriya, Alan Wee-chung LiewAbstract:In brain image analysis, the automatic identification of Symmetry Plane has various applications. This paper presents a new method that uses the concept of fractal dimension as a quantitative measure for identifying Symmetry Plane in three-dimensional (3D) brain magnetic resonance (MR) images. The method was tested on various 3D MRI datasets. Robust and accurate results were obtained in our experiments.
Sergio Kurokawa - One of the best experts on this subject based on the ideXlab platform.
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Alternative proposal for Modal Representation of a Non-transposed Three-Phase Transmission Line with a Vertical Symmetry Plane
IEEE Latin America Transactions, 2009Co-Authors: Sergio Kurokawa, Rodrigo Serra Daltin, Afonso Jose Prado, Jose Pissolato, Luiz Fernando BovolatoAbstract:The objective of this paper is to show an alternative representation in time domain of a non-transposed three-phase transmission line decomposed in its exact modes by using two transformation matrices. The first matrix is Clarke's matrix that is real, frequency independent, easily represented in computational transient programs (EMTP) and separates the line into quasi-modes a, b and zero. After that, Quasi-modes a and zero are decomposed into their exact modes by using a modal transformation matrix whose elements can be synthesized in time domain through standard curve-fitting techniques. The main advantage of this alternative representation is to reduce the processing time because a frequency dependent modal transformation matrix of a three-phase line has nine elements to be represented in time domain while a modal transformation matrix of a two-phase line has only four elements. This paper shows modal decomposition process and eigenvectors of a non-transposed three-phase line with a vertical Symmetry Plane whose nominal voltage is 440 kV and line length is 500 km.
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An Alternative Modal Representation of a Symmetrical Nontransposed Three-Phase Transmission Line
IEEE Transactions on Power Systems, 2007Co-Authors: Sergio Kurokawa, Rodrigo Serra Daltin, Afonso Jose Prado, Jose PissolatoAbstract:The objective of this letter is to propose an alternative modal representation of a nontransposed three-phase transmission line with a vertical Symmetry Plane by using two transformation matrices. Initially, Clarke's matrix is used to separate the line into components alpha,beta, and zero. Because alpha and zero components are not exact modes, they can be considered as being a two-phase line that will be decomposed in its exact modes by using a 2times2 modal transformation matrix. This letter will describe the characteristics of the two-phase line before mentioned. This modal representation is applied to decouple a nontransposed three-phase transmission line with a vertical Symmetry Plane whose nominal voltage is 440kV
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An Alternative Procedure to Decrease the Dimension of the Frequency Dependent Modal Transformation Matrices: Application in Three-Phase Transmission Lines With a Vertical Symmetry Plane
2006 IEEE PES Transmission & Distribution Conference and Exposition: Latin America, 2006Co-Authors: Sergio Kurokawa, Rodrigo Serra Daltin, Afonso Jose Prado, Luiz Fernando Bovolato, Jose PissolatoAbstract:The objective of this paper is to show an alternative representation in time domain of a non-transposed three-phase transmission line decomposed in its exact modes by using two transformation matrices. The first matrix is darkens matrix that is real, frequency independent, easily represented in computational transient programs (EMTP) and separates the line into quasi-modes alpha, beta and zero. After that, quasi-modes alpha and zero are decomposed into their exact modes by using a modal transformation matrix whose elements can be synthesized in time domain through standard curve-fitting techniques. The main advantage of this alternative representation is to reduce the processing time because a frequency dependent modal transformation matrix of a three-phase line has nine elements to be represented in time domain while a modal transformation matrix of a two-phase line has only four elements. This paper shows modal decomposition process and eigenvectors of a non-transposed three-phase line with a vertical Symmetry Plane whose nominal voltage is 440 kV and line length is 500 km
Surani Anuradha Jayasuriya - One of the best experts on this subject based on the ideXlab platform.
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brain Symmetry Plane detection based on fractal analysis
Computerized Medical Imaging and Graphics, 2013Co-Authors: Surani Anuradha Jayasuriya, Alan Wee-chung LiewAbstract:In neuroimage analysis, the automatic identification of Symmetry Plane has various applications. Despite the considerable amount of research, this remains an open problem. Most of the existing work based on image intensity is either sensitive to strong noise or not applicable to different imaging modalities. This paper presents a novel approach for identifying Symmetry Plane in three-dimensional brain magnetic resonance (MR) images based on the concepts of fractal dimension and lacunarity analysis which characterizes the complexity and homogeneity of an object. Experimental results, evaluation, and comparison with two other state-of-the-art techniques show the accuracy and the robustness of our method.
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Symmetry Plane detection in brain image analysis : a survey
Current Medical Imaging Reviews, 2013Co-Authors: Surani Anuradha Jayasuriya, Alan Wee-chung LiewAbstract:Advances in neuroimaging techniques have facilitated the study of anatomical and functional changes in the brain. Image analysis can aid precise diagnosis and treatment by providing quantitative measures. Despite the extensive research, automated analysis of neuroimages still remains a challenging problem. Integration of prior knowledge based on anatomical features can help to improve the accuracy. Brain's bilateral Symmetry and its association with pathology could work as a priori when interpreting neuroimages for clinical diagnosis. This paper brings some of this research together to analyse Symmetry integrated methods in neuroimaging and reviews various state-of-the-art Symmetry Plane detection techniques, applications, and key issues.Department of Electronic and Information Engineerin
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IbPRIA - Fractal Analysis for Symmetry Plane Detection in Neuroimages
Pattern Recognition and Image Analysis, 2013Co-Authors: Surani Anuradha Jayasuriya, Alan Wee-chung LiewAbstract:Despite the considerable amount of research, brain Symmetry Plane detection is still an open problem. In this paper, we present a novel method for Symmetry Plane detection in magnetic resonance (MR) neuroimages based on the textural information and underlying brain’s physiological structure. Fractal dimension and lacunarity analysis are used to locate the Symmetry Plane of the brain. The method was tested on MR data while analyzing the robustness against intensity non-uniformity, noise, and pathology. The proposed method does not need skull-stripping like pre-processing of MR images. The method was compared with another commonly used technique. The results were evaluated by an expert. The experimental results show the viability of our approach.
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Fractal dimension as a Symmetry measure in 3D brain MRI analysis
2012 International Conference on Machine Learning and Cybernetics, 2012Co-Authors: Surani Anuradha Jayasuriya, Alan Wee-chung LiewAbstract:In brain image analysis, the automatic identification of Symmetry Plane has various applications. This paper presents a new method that uses the concept of fractal dimension as a quantitative measure for identifying Symmetry Plane in three-dimensional (3D) brain magnetic resonance (MR) images. The method was tested on various 3D MRI datasets. Robust and accurate results were obtained in our experiments.
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ICMLC - Fractal dimension as a Symmetry measure in 3D brain MRI analysis
2012 International Conference on Machine Learning and Cybernetics, 2012Co-Authors: Surani Anuradha Jayasuriya, Alan Wee-chung LiewAbstract:In brain image analysis, the automatic identification of Symmetry Plane has various applications. This paper presents a new method that uses the concept of fractal dimension as a quantitative measure for identifying Symmetry Plane in three-dimensional (3D) brain magnetic resonance (MR) images. The method was tested on various 3D MRI datasets. Robust and accurate results were obtained in our experiments.
Lisheng Xu - One of the best experts on this subject based on the ideXlab platform.
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An Approach to Extraction Midsagittal Plane of Skull From Brain CT Images for Oral and Maxillofacial Surgery
IEEE Access, 2019Co-Authors: Ying Kang, Zhiwei Dong, Ying Su, Li Zhang, Chao Chen, Yanchun Zhang, Lisheng XuAbstract:To prepare for the oral and maxillofacial surgery for the facial Symmetry of patients, midsagittal Plane of skull in brain computed tomography (CT) images is calculated with points manually chosen from skull by doctor. But the extracted midsagittal Plane of the skull is different by different doctor. Even the extracted midsagittal Plane of the same patient is also different by the same doctor in different times. The manually extracting operation usually takes a long time to increase the doctor's workload. Aimed at this problem, a semi-automatic extracting method for midsagittal Plane of skull is proposed in this paper. First, the brain tissue is extracted by region growing method and the oriented bounding box (OBB) of the brain tissue is built. Second, the middle Symmetry Plane of the OBB of brain tissue is extracted as the initial midsagittal Plane, which is updated by the mathematical translation and rotation method. Finally, the symmetrical characteristic of the brain tissue based on the updated Symmetry Plane is calculated by the mutual information method. This procedure is executed iteratively until the symmetrical characteristic of the brain tissue based on the new Symmetry Plane is no more different from the previous result. The final extracted Symmetry Plane is the midsagittal Plane of skull in brain CT images of the patient. The midsagittal Plane which is extracted manually by doctor is used to compare and evaluate the accuracy of this semi-automatic extracting Symmetry Plane method. The experimental results from both qualitative and quantitative analyses showed that the method can reach or approach the accuracy of manual extracted, but the stable level of this method is significantly higher than the manual method and this method can shorten the operate time to reduce the doctor's workload.
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BIBM - An Extracting Method of Symmetry Plane from Head CT images for Surgery Based on OBB and Image Mutual Information
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018Co-Authors: Ying Kang, Zhiwei Dong, Jinzhu Yang, Ying Su, Li Zhang, Lisheng Xu, Dazhe ZhaoAbstract:In the field of oral and maxillofacial of surgery, in order to recover the facial Symmetry of patients, head Symmetry Plane is calculated with points chosen manually by doctors. It is great clinical significance to find automatically the Symmetry Plane of the head before surgery. Aimed at this challenge, an extraction method for head Symmetry Plane extracting is proposed in this paper. First, region growing method is applied to extract brain tissues from head CT images. Then OBB bounding box method is used to surround the brain tissues to build an initial Symmetry Plane. Finally, the initial Plane is shifted to the best position by mathematical translation and rotation operation with the mutual information. Furthermore, asymmetric index was used to evaluate the accuracy of the extracting Symmetry Plane. Experimental results showed that the method proposed can achieve the accuracy of manual extracted, but the stable level of this method significantly higher than the manual method.
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An Extracting Method of Symmetry Plane from Head CT images for Surgery Based on OBB and Image Mutual Information
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018Co-Authors: Ying Kang, Zhiwei Dong, Jinzhu Yang, Ying Su, Li Zhang, Lisheng Xu, Dazhe ZhaoAbstract:In the field of oral and maxillofacial of surgery, in order to recover the facial Symmetry of patients, head Symmetry Plane is calculated with points chosen manually by doctors. It is great clinical significance to find automatically the Symmetry Plane of the head before surgery. Aimed at this challenge, an extraction method for head Symmetry Plane extracting is proposed in this paper. First, region growing method is applied to extract brain tissues from head CT images. Then OBB bounding box method is used to surround the brain tissues to build an initial Symmetry Plane. Finally, the initial Plane is shifted to the best position by mathematical translation and rotation operation with the mutual information. Furthermore, asymmetric index was used to evaluate the accuracy of the extracting Symmetry Plane. Experimental results showed that the method proposed can achieve the accuracy of manual extracted, but the stable level of this method significantly higher than the manual method.
