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RECOVERY LIMITATIONS OF MEG SOURCE LOCALIZATION MODEL FOR EPILEPSY

RECOVERY LIMITATIONS OF MEG SOURCE LOCALIZATION MODEL FOR EP...

引用

IEEE International Symposium on Biomedical Imaging

作者： Mostafa Ghannad-Rezaie Kourosh Jafari-Khouzani Hamid Soltanian-Zadeh Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Department of Electrical and Computer Engineering Wayne State University Detroit MI USA

ISBN: (纸本)9781424406715;1424406714

Source localization in magnetoencephalography (MEG) has received a lot of attention in the recent years. MEG inverse problem is an ill-posed problem in from of B ntimesl =G ntimesm J mtimesl , where B is the vector of magnetic fields measured by the magnetic sensors, G is the lead field matrix, and J is the vector of source current in the brain. In practice, nLtm and J is usually a sparse vector. In this paper, we employ a complete reconstruction criterion to estimate the maximum number of active sources in the model or equivalently the volume of the active areas that guarantees a stable solution to the MEG inverse problem. Based on some prior information about the volume of the active areas, we then evaluate the stability of the solution with the employed model. Our approach guarantees an error upper bound on the solution with a certain number of active points. In the experiments, we have demonstrated the technique using some simulations.

关键词： Epilepsy Inverse problems Magnetic field measurement Magnetic sensors Spatial resolution Brain modeling Current measurement Magnetoencephalography Sparse matrices Cost function

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A Hierarchical Clustering Based on Mutual Information Maximization

A Hierarchical Clustering Based on Mutual Information Maximi...

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IEEE International Conference on image Processing

作者： M. Aghagolzadeh H. Soltanian-Zadeh B. Araabi A. Aghagolzadeh Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran

Mutual information has been used in many clustering algorithms for measuring general dependencies between random data variables, but its difficulties in computing for small size datasets has limited its efficiency for clustering in many applications. A novel clustering method is proposed which estimates mutual information based on information potential computed pair-wise between data points and without any prior assumptions about cluster density function. The proposed algorithm increases the mutual information in each step in an agglomerative hierarchy scheme. We have shown experimentally that maximizing mutual information between data points and their class labels will lead to an efficient clustering. Experiments done on a variety of artificial and real datasets show the superiority of this algorithm, besides its low computational complexity, in comparison to other information based clustering methods and also some ordinary clustering algorithms.

关键词： Mutual information Clustering algorithms Clustering methods Data mining Data structures Density functional theory Computational complexity Entropy Higher order statistics Probability density function

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Regional Variance Dependant Sub-frame Reduction for Face Detection in High Definition Video Frames

Regional Variance Dependant Sub-frame Reduction for Face Det...

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Applied imagery Pattern Recognition Workshop (AIPR)

作者： Adam R. Livingston Vijayan K. Asari Computational Intelligence & Machine Vision Laboratory Electrical and Computer Engineering Department Old Dominion University Norfolk VA USA

ISBN: (纸本)9781424431625

Statistical learning based face detection systems search multiple scale sub-frames of an image or frame of a video stream with a trained classifier to detect face objects. If the frame is large there will be a large number of these sub-frames. Sections of the frame with a regional variance below a predefined threshold do not need to be searched as it is not possible for a face to exist in these spaces. A preprocessing system to eliminate these low variance regions of a frame is presented in this paper. A top down quad-tree deconstruction of the frame is used to accomplish this task. Regional variance is computed and tested to determine if a given quadrant should be further broken down. If below a predefined threshold that region will be eliminated in a mask image. This procedure is continued until all sections are eliminated or a defined tree depth is reached. The resulting mask image is then smoothed and subjected to thresholding, merging the remaining valid search areas. The resulting filled mask is then used to determine whether a given sub-frame should be sent to a Viola-Jones face detection cascade. Preliminary results show promise in reducing the number of sub-frames that must be considered for detection, increasing the speed of the detection system.

关键词： Face detection High definition video image coding Sensor arrays Face recognition Object detection Radar detection Detectors image recognition Pattern recognition

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Design of an Efficient Architecture for Enhancement of Stream Video Captured in Non-uniform Lighting Conditions

Design of an Efficient Architecture for Enhancement of Strea...

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International Symposium on Signals, Circuits and Systems (ISSCS)

作者： Ming Z. Zhang Ming-Jung Seow Li Tao Vijayan K. Asari Computational Intelligence and Machine Vision Laboratory Department of Electrical and Computer Engineering Old Dominion University Norfolk VA USA

A novel architecture for performing hue-saturation-value (HSV) domain enhancement of digital color images with non-uniform lighting conditions is proposed in this paper for video streaming applications. The approach promotes log-domain computation to eliminate all multiplications, divisions and exponentiations utilizing the effective logarithmic estimation modules. An optimized quadrant symmetric architecture is incorporated into the design of homomorphic filter for the enhancement of intensity value. Efficient modules are also presented for conversion between RGB and HSV color spaces. The design is able to bring out details hidden in shadow regions of the image. It is capable of producing 187.86 million outputs per second (MOPs) on Xilinx's Virtex II XC2V2000-4ff896 field programmable gate array (FPGA) at a clock frequency of 187.86 MHz. It can process over 179.1 (1024 X 1024) frames per second and consumes approximately 70.7% and 76.8% less hardware resource with 127% and 280% performance boost when compared to the designs with machine learning algorithm [10], and with separated dynamic and contrast enhancements [11], respectively.

关键词： Streaming media computer architecture Field programmable gate arrays Color Design optimization Filters image converters Clocks Frequency Hardware

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A probabilistic framework for content-based diagnosis of retinal disease

A probabilistic framework for content-based diagnosis of ret...

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29th Annual International Conference of IEEE-EMBS, engineering in Medicine and Biology Society, EMBC'07

作者： Tobin, Kenneth W. Abdelrahman, Mohamed Chaum, Edward Govindasamy, V. Priya Karnowski, Thomas P. IEEE Image Science and Machine Vision Group Oak Ridge National Laboratory Oak Ridge TN 37831-6075 United States Electrical and Computer Engineering Dept. Tennessee Tech. University Cookeville TN 38505-0001 United States Department of Retinal Diseases Hamilton Eye Institute University of Tennessee Memphis TN 38163 United States

ISBN: (纸本)1424407885

Diabetic retinopathy is the leading cause of blindness in the working age population in the industrialized world. computer assisted analysis has the potential to assist in the early detection of diabetes by regular screening of large populations. The widespread availability of digital fundus cameras today is leading to the accumulation of large image archives of diagnosed patient data that captures historical knowledge of retinal pathology. Through this research we are developing a content-based image retrieval method to verify our hypothesis that retinal pathology can be identified and quantified from visually similar retinal images in an image archive. We will present diagnostic results for specificity and sensitivity on a population of 395 fundus images representing the normal fundus and 14 stratified disease states. © 2007 IEEE.

关键词： Diseases

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Does an endmember set really yield maximum simplex volume?

Does an endmember set really yield maximum simplex volume?

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Chao-Cheng Wu Chein-I Chang Remote Sensing Signal and Image Processing Laboratory the Department of Computer Science and Electrical Engineering Department University of Maryland Baltimore MD USA

One of commonly used criteria for finding an endmember set is to assume that for a given number of endmembers, p, a p-vertex simplex with its vertices specified by p endmembers always yields the maximum volume. Since there are also other criteria which have been widely used for endmember extraction, the issue of interest is "does an endmember set really produce a simplex with maximum volume?" In other words, using the criterion of a simplex with maximum volume is a better and more effective measure than other criteria currently being used by endmember extraction such as orthogonal projection-based pixel purity index (PPI), fully constrained least squares-based spectral unmixing, etc. This paper explores this issue by investigating a number of popular endmember extraction algorithms which are designed by different criteria. An extensive experiment-based study is also conducted for comparative analysis.

关键词： Algorithm design and analysis Least squares methods Hyperspectral imaging Indexes Volume measurement Chaos Data mining Subspace constraints Computational efficiency Current measurement

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Segmentation of Wheat Grains in Thermal images Based on Pulse Coupled Neural Networks

Segmentation of Wheat Grains in Thermal Images Based on Puls...

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IEEE International Conference on image Processing

作者： Mario Chacon Annamalai Manickavasagan Daniel Flores-Tapia Gabriel Thomas Digvir S. Jayas DSP & Vision Laboratory Chihuahua Institute of Technology Mexico Department of Biosystems Engineering University of Manitoba Canada Department of Electrical and Computer Engineering University of Manitoba Canada

Canada is one of the major exporters of wheat in the world. The quality of these exports is well known and factors such as lack of insect infestation are very important. The use of thermal images for subsequent analysis of temperatures profiles for grain classification and insect detection is a method under investigation. This paper presents an approach for automatic image segmentation of the wheat kernels based on the combined use of wavelet analysis and pulse coupled neural networks. It is shown that using wavelets as a preprocessing technique yields a consistent accurate segmentation in terms of the iteration number in which the network yields reliable edges of the wheat kernels. Subsequent analysis of these segmentations can determine internal qualities such as infestations.

关键词： image segmentation Neural networks Temperature Optical imaging Steady-state Kernel Insects image analysis Heating Production

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AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY CHARACTERISTICS

AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY ...

引用

IEEE International Symposium on Biomedical Imaging

作者： Azadeh Yazdan-Shahmorad Hesamoddin Jahanian Suresh Patel Hamid Soltanian-Zadeh Radiology Department Henry Ford Health System Medical Image Analysis Laboratory Detroit MI USA Electrical and Computer Engineering Department Wayne State University Detroit MI USA Biomedical Engineering Department University of Michigan Ann Arbor MI USA Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424406715;1424406714

Water diffusion measurements have been shown to be sensitive to tissue cellular size, extra cellular volume, and membrane permeability. Therefore, diffusion tensor imaging (DTI) by MRI can be used to characterize highly cellular regions of tumors versus acellular regions, distinguishing cystic regions from solid regions. An automatic segmentation method is proposed in this paper based on a multi-phase clustering algorithm to segment the brain tumors in a feature space extracted from DTI images. The algorithm is applied on images of a total of 20 patients with 4 different types of tumors. The tumor region segmentation was 92% accurate based on the segmentation results using anatomical images and 100% accurate based on biopsy results. In general, the segmentation results obtained by the proposed method revealed a strong agreement with the biopsy results and anatomical images, providing support for the accuracy and robustness of the proposed feature space and the segmentation procedure.

关键词： Neoplasms image segmentation Diffusion tensor imaging Clustering algorithms Biopsy Permeability measurement Volume measurement Size measurement Biomembranes Magnetic resonance imaging

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Invariant SPHARM Shape Descriptors for Complex Geometry in MR Region of Interest analysis

Invariant SPHARM Shape Descriptors for Complex Geometry in M...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Ashish Uthama Rafeef Abugharbieh Anthony Traboulsee Martin J. McKeown Biomedical Signal and Image Computing Laboratory Department of Electrical and Computer Engineering University of British Columbia Vancouver Canada Department of Medicine Neurology University of British Columbia Vancouver Canada

In earlier work, we have shown the importance of including 3D shape characteristics when analyzing regions of interest (ROIs) in magnetic resonance imaging (MRI) data. Spherical harmonics (SPHARM) based ROI shape descriptors were proposed and shown to provide important complementary information to traditionally used simple volumetric ROI measures. In this paper we extend our SPHARM shape parameterization technique by using functions defined on concentric spherical shells. We then propose the use of a novel radial transform to obtain unique features even under independent rotations of the constituting shells. These enhanced features enable the analysis of 3D ROIs with complex topologies including those with possible disconnections (e.g. ventricles). We validate the proposed 3D shape descriptors on synthetic data and demonstrate their sensitivity to subtle shape changes in the presence of inter-subject variability. We also apply our approach to real MRI data and detect significant shape changes in the left and right thalamus in Parkinson's disease (PD) patients when compared against normal volunteers, complementing the observed volumetric changes.

关键词： Geometry Magnetic resonance imaging Topology Shape measurement Brain Parkinson's disease image analysis Magnetic analysis Volume measurement Anatomy

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Real-time full-field 3-D surface-shape measurement using off-the-shelf components and a single processor

Real-time full-field 3-D surface-shape measurement using off...

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International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Peirong Jia Jonathan Kofman Chad English Computer Vision and Systems Laboratory Department of Electrical and Computer Engineering Laval University QUE Canada Department of Mechanical Engineering University of Ottawa Ottawa ONT Canada Department of Systems Design Engineering University of Waterloo Waterloo ONT Canada Neptec Design Group Limited Kanata ONT Canada

Phase-shifting fringe-projection methods have been increasingly used for three-dimensional (3D) object surface modeling to permit full-field measurement. This paper presents a real-time full-field high-resolution 3D surface-shape measurement system implemented with an efficient 3D shape measurement pipeline and triangular-pattern phase-shifting based on off-the-shelf components, software synchronization and a single computer-processor. The system projects computer-generated fringe patterns with a triangular intensity profile onto an object via a Digital Light Processing (DLP) projector. The projected patterns are electronically shifted and a CCD camera synchronized with the DLP projector by software captures the images from another direction. The captured images are processed by a single computer to reconstruct the 3D shape using triangular-pattern phase-shifting algorithms, and the model is displayed in real time. The 3D shape acquisition system achieved a speed of 5.6 fps for an image size of 648times494 pixels using the two-step triangular-pattern phase-shifting method, without any hardware synchronization or dual processing.

关键词： Phase measurement Shape measurement Real time systems Software measurement Pipelines Charge coupled devices Charge-coupled image sensors computer displays image reconstruction Pixel

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