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On extended finite element method (XFEM) for modelling of organ deformations associated with surgical cuts

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International Symposium on Medical Simulation, ISMS 2004

作者： Vigneron, Lara M. Verly, Jacques G. Warfield, Simon K. Signal Processing Group Department of Electrical Engineering and Computer Science University of Liège Belgium Surgical Planning Laboratory Brigham and Women’s Hospital and Harvard Medical School Boston United States

ISBN: (纸本)3540221867

The Extended Finite Element Method (XFEM) is a technique used in fracture mechanics to predict how objects deform as cracks form and propagate through them. Here, we propose the use of XFEM to model the deformations resulting from cutting through organ tissues. We show that XFEM has the potential for being the technique of choice for modelling tissue retraction and resection during surgery. Candidates applications are surgical simulators and image-guided surgery. A key feature of XFEM is that material discontinuities through FEM meshes can be handled without mesh adaptation or remeshing, as would be required in regular FEM. As a preliminary illustration, we show the result of XFEM calculation for a simple 2D shape in which a linear cut was made. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Finite element method

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Perceptual organization in range data: robust detection of low order surfaces in heavy clutter

Perceptual organization in range data: robust detection of l...

引用

International Conference on Pattern Recognition

作者： K.L. Boyer K. Julka Signal Analysis and Machine Perception Laboratory Department of Electrical & Computer Engineering Ohio State Uinversity USA

We consider the problem of detecting manmade objects in range data in the presence of extensive clutter. Such situations arise in, for example, the detection of small structures or vehicles beneath a leaf canopy in range data collected from an airborne platform. This problem calls for an extremely robust detection scheme, and it should be fast. Since most manufactured objects comprise large low-order piecewise smooth surfaces (often planes), we focus on detecting locally planar surfaces. We propose a novel technique we call distribution weighted histograms (DWH), which exploits the inherent geometric distributions of manmade objects versus the random occlusions such as those due to an overhanging leaf canopy. The DWH algorithm performs well under heavy occlusion while being computationally inexpensive (linear complexity). We present extensive experimental results.

关键词： Robustness Image edge detection Vehicles Layout Object detection Histograms Image segmentation signal analysis Laboratories Automotive engineering

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Power spectral density estimation and tracking of nonstationary pressure signals based on Kalman filtering

Power spectral density estimation and tracking of nonstation...

引用

Conference Proceedings - 26th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2004

作者： Aboy, M. McNames, J. Márquez, Óscar W. Hornero, R. Thong, T. Goldstein, B. Biomed. Signal Processing Laboratory Electrical and Computer Engineering Portland State University Portland United States Signal Theory Dept. ETSI-Telecomunicación University of Vigo Spain Signal Theory Dept. ETSI-Telecomunicación University of Valladolid Spain Biomedical Engineering Department Oregon Health and Science University Portland United States Pediatrics Department Oregon Health and Science University Portland United States

We describe an algorithm to estimate and track slow changes in power spectral density (PSD) of nonstationary pressure signals. The algorithm is based on a Kalman filter that adaptively generates an estimate of the autoregressive model parameters at each time instant. The algorithm exhibits superior PSD tracking performance in nonstationary pressure signals than classical nonparametric methodologies, and does not assume a piecewise stationary model of the data. Furthermore, it provides better time-frequency resolution, and is robust to model mismatches. We demonstrate its usefulness by a sample application involving PSD estimation and tracking of short records of simulated pressure waveforms. This algorithm is intended for applications were the PSD must be estimated and tacked during short transient periods, possibly after clinical interventions.

关键词： signal processing

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Adaptive causal anomaly detection for hyperspectral imagery

Adaptive causal anomaly detection for hyperspectral imagery

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

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

ISBN: (纸本)0780387422

Anomaly detection finds target pixels whose signatures are spectrally distinct from their surrounding pixels. It is generally performed without prior knowledge. This paper presents an adaptive causal anomaly detector (ACAD) which implements a causal anomaly detector in such a fashion that a target pixel will be removed from the data correlation matrix once it is detected as an anomaly. As a result, it improves the commonly used RX algorithm as well as a recently developed causal RX filter

关键词： Hyperspectral imaging Filters Detectors Covariance matrix Adaptive signal detection Hyperspectral sensors Remote sensing signal processing Image processing Laboratories

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Compact modeling of environmentally induced radiation effects on electrical devices

Compact modeling of environmentally induced radiation effect...

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IEEE Conference on Aerospace

作者： X. Huang A.M. Francis A.B. Lostetter H.A. Mantooth Mixed-Signal Computer-Aided Design Laboratory Department of Electrical Engineering University of Arkansas Fayetteville AR USA

This paper presents the feasibility of formalizing a compact modeling methodology for environmentally induced radiation effects, and of implementing that methodology into the Paragon compact modeling tool. For demonstration purposes, the paper focuses on two specific radiation effects implemented in a MOSFET device model. These two effects were chosen in order to illustrate two differing forms of model development. The first form takes existing device models and modifies the equations and/or variables already existing within that model to achieve the required results (behavioral modification). The second form adds completely new equations and variables to existing device models (behavioral augmentation). The MOSFET (1) threshold voltage shift due to total ionizing dosage (TID) and (2) leakage current increase due to TID, are two major device effects that fulfill both of these requirements. Voltage shift and leakage current are critical design issues in rad-hard electronics and space environments. The threshold voltage shift effects are implemented through the modification of device model equations, while leakage current increases are implemented with added behavioral macros to the model topology, thus fulfilling the second requirement. The use of the modified compact MOSFET model is illustrated in the simulation of an op-amp based filter. Gain and frequency shifts can be observed and compared as the circuit absorbs differing amounts of TID.

关键词： Radiation effects MOSFET circuits Equations Leakage current Threshold voltage Radiation hardening Circuit topology Circuit simulation Operational amplifiers Filters

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AR model parameter estimation: from factor graphs to algorithms

AR model parameter estimation: from factor graphs to algorit...

引用

International Conference on Acoustics, Speech, and signal Processing (ICASSP)

作者： S. Korl H.A. Loeliger A.G. Lindgren Signal and Information Processing Laboratory ETH Zurich Switzerland Department of Electrical & Computer Engineering University of Rhode Island USA

The classic problem of estimating the parameters of an auto-regressive (AR) model is considered from a graphical model viewpoint. A number of practical parameter estimation algorithms - some of them well known, others apparently new - are derived as "summary propagation" in a factor graph. In particular, we demonstrate the joint estimation of AR coefficients, innovation variance, and noise variance.

关键词： Parameter estimation signal processing algorithms Technological innovation Graphical models Gaussian noise State-space methods signal processing Information processing Laboratories Error correction codes

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A nested spatial window-based approach to target detection for hyperspectral imagery

A nested spatial window-based approach to target detection f...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

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

ISBN: (纸本)0780387422

A great challenge of hyperspectral target detection is to detect subtle targets without prior knowledge, particularly, when the targets of interest are insignificant and occur with low probabilities. This work provides a promising alternative to adaptive hyperspectral target detection. It considers a nested spatial window-based target detection (NSWTD) approach for hyperspectral imagery where a set of different spatial windows are nested and implemented to extract targets whose signatures are spectrally and spatially distinct. The use of nested spatial windows is determined by the image pixel resolution and applications. In order to demonstrate the performance of the proposed NSWTD approach, dual nested windows and three nested windows are implemented for computer simulations and real hyperspectral image experiments. The experimental results demonstrate that our proposed NSWTD approach performs effectively and improves a recent adaptive anomaly detector developed by Kwon et al. and the commonly used anomaly detector developed by Reed and Yu, referred to as RX algorithm. Its computation complexity is also very simple.

关键词： Object detection Hyperspectral imaging Hyperspectral sensors Detectors Spatial resolution Remote sensing signal processing Image processing Laboratories computer science

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A new application of texture unit coding to mass classification for mammograms

A new application of texture unit coding to mass classificat...

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IEEE International Conference on Image Processing

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

ISBN: (纸本)0780385543

Texture is one of important features of masses in mammograms. A recent texture unit-based texture spectrum approach, referred to as texture unit coding (TUC) has shown promise in texture classification. This paper presents a new application of the TUC to mass classification in mammograms. The TUC generates a texture spectrum for a texture image that can be used to describe the characteristics of masses. It also develops an information divergence (ID)-based discrimination criterion to measure the discrepancy between two texture spectra, a concept yet to explore in texture analysis. The TUC along with ID are further applied to mass classification in mammograms where the minimammographic database provided by the Mammographic Image Analysis Society (MIAS) is used for experiments.

关键词： Pixel Breast cancer Application software Image coding Image texture analysis Spatial databases Helium Image generation Histograms Shape

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New texture shape feature coding-based computer aided diagnostic methods for classification of masses on mammograms

New texture shape feature coding-based computer aided diagno...

引用

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

作者： Y. Chen C.-I. Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA

This work presents new texture shape feature coding (TSFC)-based computer aided diagnostic (CAD) classification methods for classification of masses on mammograms. It introduces a new concept of 1.5-order 3-neighbor 3/spl times/3 connectivity to extract texture shape features that can describe multiples of 22.5/spl deg/. In order to effectively utilize these shape features, two new methods of implementing TFSC are further proposed to convert these features to texture feature numbers (TFNs), TFNs in quaternary (TFNq) which expresses a TFN in quaternary expansion and TFNs in product (TFNx ) that represents a TFN in terms of a product. Both TFNq and TFNx can then produce texture shape histograms in the same way that a gray-level histogram is generated for an image. Such a texture shape histogram is further used to generate various shape features of masses on mammograms for classification. In order to demonstrate the promise of our TSFC-based CAD methods, the MiniMammographic database provided by the Mammographic Image Analysis Society (MIAS) is used for experiments.

关键词： Shape Feature extraction Histograms Image coding Character recognition Remote sensing signal processing Image processing Laboratories computer science

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FPGA implementation of adaptive multiuser detector for DS-CDMA systems 14th

FPGA implementation of adaptive multiuser detector for DS-CD...

引用

14th International Conference on Field Programmable Logic and Applications, FPL 2004

作者： Ho, Quoc-Thai Massicotte, Daniel Université du Québec à Trois-Rivières Department of Electrical and Computer Engineering Laboratory of Signal and System Integration C.P. 500 Boul. des Forges Trois-RivièresQCG9A 5H7 Canada

ISBN: (纸本)3540229892

A complete and transparent design flow targeted on FPGA components Virtex II and Virtex II Pro for multiuser detection in DS-CDMA wireless communication system is presented. The developed architectures are specific in order to exploit the modern technology of the programmable logic. The result of this work is modular, dedicated, specific and functional hardware architectures of an adaptive multiuser detector using a library of hard IP cores, optimized for these FPGA components, performing adaptive LMS filtering on normalized fixed-point complex signals. The developed architectures can be used as optimized cores to implement MUD function in a system-on-chip (SoC) for DSCDMA wireless communication systems. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Field programmable gate arrays (FPGA)

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