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Automatic segmentation of brain structures using geometric moment invariants and artificial neural networks

Automatic segmentation of brain structures using geometric m...

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21st International Conference on Information Processing in Medical Imaging, IPMI 2009

作者： Jabarouti Moghaddam, Mostafa Soltanian-Zadeh, Hamid Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Hospital Detroit MI United States

ISBN: (纸本)3642024971

We propose an automatic method for the segmentation of the brain structures in three dimensional (3D) Magnetic Resonance Images (MRI). The proposed method consists of two stages. In the first stage, we represent the shape of the structure using Geometric Moment Invariants (GMIs) in 8 scales. For each scale, an Artificial Neural Network (ANN) is designed to approximate the signed distance function of a desired structure. The GMIs along with the voxel intensities and coordinates are used as the input features of the ANN and the signed distance function as its output. In the second stage, we combine the outputs of the ANNs of the first stage and design another ANN to classify the image voxels into two classes, inside or outside of the structure. We introduce a fast method for moment calculations. The proposed method is applied to the segmentation of caudate, putamen, and thalamus in MRI where it has outperformed other methods in the literature. © 2009 Springer Berlin Heidelberg.

关键词： Neural networks

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Robust Global Asymptotic Stabilization of a 6-DOF Rigid Body by Quaternion-based Hybrid Feedback

Robust Global Asymptotic Stabilization of a 6-DOF Rigid Body...

引用

Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Christopher G.Mayhew Ricardo G.Sanfelice Andrew R.Teel Center for Control Engineering and Computation Electrical and Computer Engineering DepartmentUniversity of California Department of Aerospace and Mechanical Engineering University of Arizona

The problem of robust, global asymptotic stabilization of a rigid body is hampered by major topological obstructions. These obstructions prevent a continuous state feedback from solving the problem and also lead to robustness issues when(non-hybrid) discontinuous feedback is applied. In this paper, we extend a hybrid control strategy proposed in a companion paper for robust, global asymptotic stabilization of rigid body attitude to the case where translation is also considered. Through Lyapunov analysis, we develop quaternionbased hysteretic hybrid control laws in the kinematic and dynamic settings. In the dynamic setting, two control laws are derived: one from an energy-based Lyapunov function and one by backstepping. Robustness to measurement noise is asserted by employing recently developed stability theory for hybrid systems. A comparison between discontinuous and hysteretic feedback under measurement noise is shown in simulation.

关键词： Lyapunov Section Robust Global Asymptotic Stabilization of a 6-DOF Rigid Body by Quaternion-based Hybrid Feedback DOF Hybrid

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Robust Global Asymptotic Attitude Stabilization of a Rigid Body by Quaternion-based Hybrid Feedback

Robust Global Asymptotic Attitude Stabilization of a Rigid B...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

Global asymptotic stabilization of the attitude of a rigid body is hindered by major topological *** fact, this task is impossible to accomplish with continuous state feedback. Moreover, when the attitude is parametrized with unit quaternions, it becomes impossible to design a globally stabilizing state feedback(even discontinuous) that is robust to measurement noise. In this paper, we present a quaternion-based hysteretic hybrid feedback that robustly globally asymptotically stabilizes the attitude of a rigid *** hybrid control laws are derived through Lyapunov analysis in kinematic and dynamic settings. In the dynamic setting,we provide two control laws: one derived from an energybased Lyapunov function and another based on *** the change in these Lyapunov functions due to switching of a logic variable yields a straightforward form for state-based hysteresis. A simulation study demonstrates how hysteresis provides robustness to measurement noise and highlights differences between the energy-based and backstepping control laws.

关键词： Section Robust Global Asymptotic Attitude Stabilization of a Rigid Body by Quaternion-based Hybrid Feedback Hybrid

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Optimal Sensor Placement For Time Difference of Arrival Localization

Optimal Sensor Placement For Time Difference of Arrival Loca...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Jason T.Isaacs Daniel J.Klein Joao P.Hespanha the Center for Control Dynamical Systemsand Computationand the Department of Electrical and Computer EngineeringUniversity of California

This paper addresses the problem of localizing a source from noisy time-of-arrival *** particular,we are interested in the optimal placement of M planar sensors so as to yield the best expected source location *** main result,on maximizing the expected determinant of the Fisher information matrix for truncated,radially-symmetric source distributions,shows two features not previously ***,the sensors should be placed as far from the expected source position as ***,the sensors should be arranged in a splay configuration in which neighboring sensors are separated by equal angle *** examples are given for point,uniform,and truncated-Gaussian source density functions.

关键词： Optimal Sensor Placement For Time Difference of Arrival Localization Sensor

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Combinational method for focal brain activation detection using MEG signal

Combinational method for focal brain activation detection us...

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Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging

作者： Rajabioun, Mehdi Babajani-Feremi, Abbas Soltanian-Zadeh, Hamid Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran 14395-515 Iran Image Analysis Lab. Radiology Department Henry Ford Hospital Detroit MI 48202 United States

ISBN: (纸本)9780819475138

Magnetoencephalography (MEG) is a neuroimaging technique for brain activation detection. This technique does not provide a unique solution due to ill-posedness of its inverse solution. Several methods are proposed to improve the MEG inverse solution. Minimum Norm (MN) is a simple method whose solution is distributed and biased toward the superficial sources. In addition, its solution is sensitive to the noise. Several methods are proposed to improve performance of the MN method. In this paper, we propose a method whose solution is less sensitive to the noise and spatially unbiased toward the superficial sources. control of focal solution properties is achieved by specifying a parameter in the proposed method. Performance of the proposed method is compared to others using simulation studies consisting of single and multiple dipole sources as well as an extended source model. Proposed method has superior performance compared to non-iterative methods. Its performance is similar to the iterative methods but its computational load is lower. © 2009 SPIE.

关键词： Inverse problems

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Multi-static radar target tracking using information consensus filters

Multi-static radar target tracking using information consens...

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作者： Casbeer, David W. Beard, Randal W. Control Science Center of Excellence Air Force Research Laboratory Wright-Patterson AFB OH 45433 United States Department of Electrical and Computer Engineering Brigham Young University Provo UT 84651 United States

ISBN: (纸本)9781563479786

In this paper, the information consensus filter (ICF) is adapted to non-linear process and measurement models by employing an extended information filter (EIF). The nonlinear ICF is a decentralized estimator, where each node in the sensor network maintains a local estimate. A node's local observations are fused with the local estimate, and the new information is communicated throughout the network by a consensus filter. We apply the non-linear ICF to a multi-static radar tracking system, where unmanned aerial vehicles (UAVs) act as mobile adaptive radar receivers. Each UAV maintains a local track of the target using the non-linear ICF, and for a small UAV team, it is shown that the accuracy of the decentralized non-linear ICF is similar to that of the estimate in an centralized extended information filter. Copyright © 2009 by David W. Casbeer.

关键词： Sensor nodes

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Improving EEG signal prediction via SSA and channel selection

Improving EEG signal prediction via SSA and channel selectio...

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International CSI computer Conference, CSICC

作者： Bahareh Atoufi Ali Zakerolhosseini Caro Lucas Department of Electrical and Computer Engineering University of Shahid Beheshti Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Iran

Being able to predict the coming seizure can impressively improve the quality of the patients' lives since they can be warned to avoid doing risky activities via a prediction system. Here, a locally linear neuro fuzzy model is used to predict the EEG time series. Subsequently, this model is utilized in accompany with Singular Spectrum Analysis for prediction. Afterward, an information theoretic criterion is used to select a reliable subset of input variables which contain more information about the target signal. Comparison of three mentioned methods on one hand shows that SSA enables our prediction model to extract the main patterns of the EEG signal and highly improves the prediction accuracy. On the other hand, applying the method of channel selection to the model yields more accurate prediction. It is shown that fusion of some certain signals provides more information about the target and considerably improves the prediction ability.

关键词： Electroencephalography Brain modeling Predictive models Epilepsy Signal analysis Electrodes Statistics Frequency Information analysis Signal processing

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Application of Random PWM Techniques for Reducing the Electromagnetic Interference of Vienna Rectifiers in Distribution Power System

Application of Random PWM Techniques for Reducing the Electr...

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2009 IEEE 6th International Power Electronics and Motion control Conference-ECCE Asia

作者： Shahriyar Kaboli Amir Hossein Rajaei Aras Sheikhi Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Department of Electrical and Computer Engineering Tarbiat Modares University

Random pulse width modulation (RPWM) technique has been employed to generate the control signals of Vienna-type rectifier. This technique is compared to two conventional techniques (Hysteresis-band and ramp comparison with fix frequency carrier signal). Simulation results are illustrated for three approaches. The results verify significantly reduction of high frequency harmonics magnitude;and consequently overcome electromagnetic interference (EMI) problem in this active type of rectifier.

关键词： PWM Application of Random PWM Techniques for Reducing the Electromagnetic Interference of Vienna Rectifiers in Distribution Power System

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L2-induced Gain Analysis for a class of Switched Systems

L2-induced Gain Analysis for a class of Switched Systems

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Kenji Hirata Joo P.Hespanha Department of Mechanical Engineering Nagaoka University of Technology Center for Control Dynamical Systemsand Computationand the Department of Electrical and Computer EngineeringUniversity of California

This paper addresses the computation of the L-induced gain for a class of switched *** main contribution of the paper is to completely characterize the induced gain of the switched system through a system of differential inequalities on a common storage function,one for each system being *** motivation for computing the induced gain of a switched system is the application of robust stability tools to the analysis of hybrid systems.

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Prognostics enhanced reconfigurable control of electro-mechanical actuators

Prognostics enhanced reconfigurable control of electro-mecha...

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Annual Conference of the Prognostics and Health Management Society, PHM 2009

作者： Brown, Douglas W. Georgoulas, George Bole, Brian Pei, Hai-Long Orchard, Marcos Tang, Liang Saha, Bhaskar Saxena, Abhinav Goebel, Kai Vachtsevanos, George Department of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States Department of Automation South China University of Technology Guangzhou510640 China Department of Electrical Engineering Universidad de Chile Santiago Chile Impact Technologies LLC RochesterNY14623 United States NASA Ames Research Center Moffett FieldCA94035 United States

ISBN: (纸本)9781936263004

Actuator systems are employed widely in aerospace, transportation and industrial processes to provide power to critical loads, such as aircraft control surfaces. They must operate reliably and accurately in order for the vehicle /process to complete successfully its designated mission. Incipient actuator failure conditions may severely endanger the operational integrity of the vehicle /process and compromise its mission. The ability to maintain a stable and credible operation, even in the presence of incipient failures, is of paramount importance to accomplish "must achieve" mission objectives. This paper introduces a novel methodology for the fault-tolerant design of critical subsystems, such as an Electro-Mechanical Actuator (EMA), that takes advantage of on-line, real-time estimates of the Remaining Useful Life (RUL) or Time-to-Failure (TTF) of a failing component and reconfigures the available control authority by trading off system performance with control activity. The primary goal is to complete critical mission objectives within a time window dictated by prognostic algorithms so that the fault mode is accommodated and an acceptable level of performance maintained for the duration of the mission. The proposed fault-tolerant control design is mathematically rigorous, generic and applicable to a variety of application domains. An EMA is used to illustrate the efficacy of the proposed approach.

关键词： Electromechanical actuators

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