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Interpolation of Orientation Distribution Functions (ODFs) in Q-ball Imaging

Interpolation of Orientation Distribution Functions (ODFs) i...

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Iranian Conference of Biomedical engineering

作者： Maryam Afzali Emad Fatemizadeh Hamid Soltanian-Zadeh Department of Electrical Engineering Biomedical Signal and Image Processing Laboratory(BiSIPL) Sharif University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence(CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran & Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit Michigan USA

ISBN: (纸本)9781467331289

Diffusion tensor magnetic resonance imaging (DTMRI) is a non-invasive method for investigating the brain white matter structure. It can be used to evaluate fiber bundles in the brain but in the regions with crossing fibers, it fails. To resolve this problem, high angular resolution diffusion imaging (HARDI) with a large number of diffusion encoding directions is used and for reconstruction, the Q-ball method is applied. In this method, orientation distribution function (ODF) of fibers can be calculated. Mathematical models play a crucial role in the field of ODF. For instance, in registering Q-ball images for applications like group analysis or atlas construction, one needs to interpolate ODFs. To this end, principal diffusion directions (PDDs) of each ODF are needed. In this paper, PDDs are defined as vectors that connect the corresponding local maxima of ODF values. Then, ODFs are interpolated using PDDs. The proposed method is evaluated and compared with previous protocols. Experimental results show that the proposed interpolation algorithm preserves the principal direction of fiber tracts without producing any deviations in the tracts. It is shown that changes in the entropy of the interpolated ODFs are almost linear and the bloating effect (blurring of the principal directions) can be removed.

关键词： High angular resolution diffusion imaging (HARDI) Q-ball imaging Orientation distribution function (ODF) Interpolation Principal diffusion direction (PDD)

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Voxel-based treatment prediction of glioblastoma multiform tumor using diffusion tensor imaging

Voxel-based treatment prediction of glioblastoma multiform t...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Hadi Sabahi Hamid Soltanian-Zadeh Lisa Scarpace Tom Mikkelsen Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI USA Hermelin Brain Tumor Research Center Neurosurgery Department Henry Ford Health System Detroit MI USA

This paper proposes a method to predict the effect of Bevacizumab therapy on Glioblastoma Multiform (GBM) tumors. The prediction is critical for effective treatment planning. The proposed method is developed and evaluated using Diffusion Tensor Imaging (DTI) and post-contrast T1-weighted Magnetic Resonance Images (pc-T1-MRI) of 14 patients with GBM tumors gathered before and after the treatment. First, the proposed method calculates diffusion anisotropy indices (DAI) of all voxels in the brain. These diffusion anisotropy indices are Fractional Anisotropy (FA), Mean Diffusivity (MD), Relative Anisotropy (RA), and Volume Ratio (VR). Then, it registers post-treatment pc-T1-MRI and pre-treatment DAI maps to pre-treatment pc-T1-MRI. Next, it uses a thresholding method to segment the tumor from pc-T1-MRI studies. Comparing Gd-enhanced voxels of the pre- and post-treatment pc-T1-MRI, the DAIs of the tumor are labeled based on their response to the treatment. The voxels of 7 patients are randomly selected to train 4 classifiers (ANN, SVM, KNN, and ANFIS) and then all voxels of the other 7 patients are used to test them. For each classifier, four performance measures (sensitivity, specificity, positive predictive value, and accuracy) are calculated. Experimental results show that the ANFIS is more accurate than the other classifiers in predicting the treatment response.

关键词： Support vector machines Noise Magnetic resonance imaging Sensitivity Tumors Biomedical imaging Artificial neural networks

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Optimising performance in steady state for a supermarket refrigeration system

Optimising performance in steady state for a supermarket ref...

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Mediterranean Conference on control & Automation

作者： Torben Green Michel Kinnaert Roozbeh Razavi-Far Roozbeh Izadi-Zamanabadi Henrik Niemann Danfoss A/S Refrigeration and A/C controls 6430 Nordborg Denmark Department of Control Engineering and System Analysis at Université Libre De Bruxelles 1050 Bruxelles Belgium Department of Electrical Enigeering at Technical University of Denmark 2800 Lyngby Denmark

ISBN: (纸本)9781467325301

Using a supermarket refrigeration system as an illustrative example, the paper postulates that by appropriately utilising knowledge of plant operation, the plant wide performance can be optimised based on a small set of variables. Focusing on steady state operations, the total system performance is shown to predominantly be influenced by the suction pressure. Employing appropriate performance function leads to conclusions on the choice of set-point for the suction pressure that are contrary to the existing practice. analysis of the resulting data leads to a simple method for finding optimal pressure set-point for given load situations.

关键词： Optimising performance steady state supermarket refrigeration

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Additive and multiplicative fault diagnosis for a doubly-fed induction generator

Additive and multiplicative fault diagnosis for a doubly-fed...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Boulaïd Boulkroune Manuel Gálvez-Carrillo Michel Kinnaert Department of Control Engineering and System Analysis Université Libre de Bruxelles Brussels Belgium

The problem of additive and multiplicative fault detection and isolation (FDI) in the current sensors of a doubly-fed induction generator (DFIG) is considered in the presence of model uncertainty. A residual generator based on the DFIG model is proposed using the structure of the classical generalized observer scheme (GOS). However, each observer in this scheme is replaced by a robust H - /H ∞ fault detection filter followed by a Kalman-like observer. The latter further attenuates the effect of the modelling uncertainties on the residuals. It exploits the specific pattern induced by the balanced three phase nature of all the electric signals. It turns out that the fault detection/isolation problem then amounts to detecting an abrupt change in the mean of the residual vector in the additive fault case, or the appearance of sine waves superimposed to a white noise vector in the multiplicative fault case. A decision algorithm made of a combination of generalized likelihood ratio (GLR) algorithms allows us to detect and isolate the additive and multiplicative sensor faults. The complete FDI system is tested through simulations on a controlled DFIG.

关键词： Additives Sensors Observers Rotors Fault detection Uncertainty Robustness

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Identification of a hybrid model for simulation of the instrument/trocar interaction force

Identification of a hybrid model for simulation of the instr...

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2011 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： J. Verspecht L. Catoire S. Torfs M. Kinnaert Control Engineering and System Analysis Department Faculty of Applied Science Université Libre de Bruxelles (ULB) Brussels Belgium

Trocars used in Minimally Invasive Surgery (MIS) are equipped with a sealing mechanism. During the motion of an instrument through a trocar, the sealing mechanism deforms itself. The Extended Maxwell Slip model has been developed in order to capture the deformation of the sealing mechanism. Two operating phases are distinguished, corresponding to the deformation of the sealing mechanism on the one hand, and to the sliding phase through the trocar on the other hand. This article addresses the identification procedure for this model. The deformation phase uses a PieceWise Affine (PWA) model. This model is identified using a PWARX (PieceWise ARX) identification technique namely the clustering based technique. Identification and validation are achieved using experimental data recorded on a dedicated test setup.

关键词： Deformable models Force Mathematical model Friction Seals Instruments Computational modeling

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Complex automation of a technological process on the basis of control systems with a three level structure

Complex automation of a technological process on the basis o...

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Annual IEEE systems Conference

作者： Gulnara Abitova Mamirbek Beisenbi Vladimir Nikulin Department of System Analysis and Control Eurasian National University Astana Kazakhstan Department of Electrical and Computer Engineering Binghamton University Binghamton NY USA

Modern control methods are suitable for increasing production capabilities of industrial enterprises by employing information technologies, which are often used for modernization of industrial processes without the need of acquiring new equipment. Therefore, automation of the industrial lines is one of the most important directions of the technological progress, as it leads to improvement and modernization of industrial processes. The technological process of tellurium production includes a number of stages, which require automatic regulation of many parameters with a high degree of precision. In this work, we analyze and propose a unified concept of application of modern automation techniques that can be used to build a three-level hieratical control system intended for improving the quality of product.

关键词： Process control Automation control systems Tellurium Production Sensors Monitoring

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Universal image steganalysis against spatial-domain steganography based on energy distribution of singular values

Universal image steganalysis against spatial-domain steganog...

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7th International Conference on Information Technology and Application, ICITA 2011

作者： Shojaei-Hashemi, Anahita Soltanian-Zadeh, Hamid Ghaemmagham, Shahrokh Kamarei, Mahmoud School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Electronics Research Institute Sharif University of Technology Tehran Iran

ISBN: (纸本)9780980326741

A passive image steganalysis method is proposed to universally detect spatial-domain steganography schemes. It is shown to have better performance than universal steganalyzers known to be powerful in spatial domain, including the WFLogSv and the WAM methods. This level of accuracy is the result of improving the WFLogSv steganalyzer by considering a more comprehensive relationship between the singular values of each image block and the linear correlation of the rows and the columns. That is, instead of the closeness of the lower singular values to zero, the energy distribution of the singular values is investigated. An innovative measure is proposed for this investigation, which is inspired from arithmetic mean-geometric mean inequality. Experimental results confirm the supremacy of the proposed steganalysis scheme over its counterparts.

关键词： Singular value decomposition

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Universal steganalysis based on local prediction error in wavelet domain

Universal steganalysis based on local prediction error in wa...

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7th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2011

作者： Shojaei-Hashemi, Anahita Mehdipour-Ghazi, Mostafa Ghaemmaghami, Shahrokh Soltanian-Zadeh, Hamid School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Electronics Research Institute Sharif University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States

ISBN: (纸本)9780769545172

A passive universal image steganalysis method is proposed that is shown to be of higher detection accuracy than existing truly blind steganalysis methods including Farid's and the WAM. This is achieved by improving some weaknesses of Farid's steganalysis scheme in feature extraction, that is, instead of deriving an over-determined equation system for each sub band of the wavelet decomposition, the sub bands are divided into overlapping blocks and an over-determined equation system is constructed for each block. To guarantee the existence of finite answers, the over-determined equation systems are solved in a way different from Farid's by using Moore-Penrose pseudo-inverse concept. Further improvement to the performance is achieved by adding diagonal directions and increasing the number of moments. The comparative evaluations confirm the superiority of the proposed method over prevalent blind steganalysis schemes. © 2011 IEEE.

关键词： Wavelet decomposition

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Assessing lung volumetric variation to detect and stage COPD

Assessing lung volumetric variation to detect and stage COPD

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2011 1st Middle East Conference on Biomedical engineering, MECBME 2011

作者： Hosseini, M. Parsa Soltanian-Zadeh, Hamid Akhlaghpoor, Shahram Department of Electrical Engineering Islamic Azad University Science and Research Branch of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Department of Radiology Tehran University of Medical Sciences Sina Hospital Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424470006

Chronic obstructive pulmonary disease (COPD) is a devastating disease. In this paper, we propose a novel method for scoring of air trapping in the lungs for detection and evaluation of COPD. The proposed method finds volumetric changes of the lungs from inspiration to expiration. To this end, trachea CT images at full inspiration and expiration are compared. For this comparison, the lungs parenchyma in the inspiration and expiration images are found and changes in the surface and volume of the lungs between inspiration and expiration are used to define quantitative measures (features). Using these features, the subjects are classified into two groups of normal class and COPD patients using a Bayesian classifier. In addition, t-tests are applied to evaluate discrimination powers of the features for this classification. The main advantage of the proposed method is its ability to estimate air trapping in the lungs from CT images without human intervention. The proposed method may assists radiologists in the detection of COPD as a computer aided diagnosis (CAD) system. It may also assist them with the scoring of the disease (severity of air trapping in the lungs). © 2011 IEEE.

关键词： Computerized tomography

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STABLE: A new QF-BV SMT solver for hard verification problems combining Boolean reasoning with computer algebra

STABLE: A new QF-BV SMT solver for hard verification problem...

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Design, Automation and Test in Europe Conference and Exhibition

作者： Evgeny Pavlenko Markus Wedler Dominik Stoffel Wolfgang Kunz Alexander Dreyer Frank Seelisch Gert-Martin Greuel Department of Electrical and Computer Engineering University of Kaiserslautern Germany Department of System Analysis Prognosis and Control Fraunhofer ITWM Kaiserslautern Germany Department of Mathematics University of Kaiserslautern Germany

This paper presents a new SMT solver, STABLE, for formulas of the quantifier-free logic over fixed-sized bit vectors (QF-BV). The heart of STABLE is a computer-algebra-based engine which provides algorithms for simplifying arithmetic problems of an SMT instance prior to bit-blasting. As the primary application domain for STABLE we target an SMT-based property checking flow for system-on-Chip (SoC) designs. When verifying industrial data path modules we frequently encounter custom-designed arithmetic components specified at the logic level of the hardware description language being used. This results in SMT problems where arithmetic parts may include non-arithmetic constraints. STABLE includes a new technique for extracting arithmetic bit-level information for these non-arithmetic constraints. Thus, our algebraic engine can solve subproblems related to the entire arithmetic design component. STABLE was successfully evaluated in comparison with other state-of-the-art SMT solvers on a large collection of SMT formulas describing verification problems of industrial data path designs that include multiplication. In contrast to the other solvers STABLE was able to solve instances with bit-widths of up to 64 bits.

关键词： Polynomials Mathematical model system-on-a-chip Adders Engines Algebra

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