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MEDICS: Ultra-Portable processing for Medical Image Reconstruction 10

MEDICS: Ultra-Portable Processing for Medical Image Reconstr...

引用

19th International conference on Parallel architectures and Compilation Techniques

作者： Dasika, Ganesh Sethia, Ankit Robby, Vincentius Mudge, Trevor Mahlke, Scott Univ Michigan Adv Comp Architecture Lab Ann Arbor MI 48109 USA

ISBN: (纸本)9781450301787

Medical imaging provides physicians with the ability to generate 3D images of the human body in order to detect and diagnose a wide variety of ailments. Making medical imaging portable and more accessible provides a unique set of challenges. In order to increase portability, the power consumed in image acquisition - currently the most power-consuming activity in an imaging device - must be dramatically reduced. This can only be done, however, by using complex image reconstruction algorithms to correct artifacts introduced by low-power acquisition, resulting in image processing becoming the dominant power-consuming task. Current solutions use combinations of digital signal processors, general-purpose processors and, more recently, general-purpose graphics processing units for medical image processing. These solutions fall short for various reasons including high power consumption and an inability to execute the next generation of image reconstruction algorithms. This paper presents the MEDICS architecture a domain-specific multicore architecture designed specifically for medical imaging applications, but with sufficient generality to make it programmable. The goal is to achieve 100 GFLOPs of performance while consuming orders of magnitude less power than the existing solutions. MEDICS has a throughput of 128 GFLOPs while consuming as little as 1.6W of power on advanced CT reconstruction applications. This represents up to a 20x increase in computation efficiency over current designs.

关键词： Low power Medical imaging Operation chaining Stacked DRAM Stream processing

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Efficient beam-based adaptive processing for planar arrays

Efficient beam-based adaptive processing for planar arrays

引用

advanced signal-processing algorithms, architectures, and implementations

作者： Kratzer, Steven G. Supercomputing Research Cent Bowie United States

Beam-based adaptive processing is an economical way to achieve good interference rejection performance from an adaptive receiving array, at much less computational cost than full element-based methods. However, to exploit this potential for planar arrays it is necessary to identify, in real time, which beams must be retained for adaptive cancellation. This paper analyzes the beam-selection problem and presents a computationally efficient algorithm that performs real-time beam selection.

关键词： signal Filtering and Prediction

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Tomographic techniques in image and signal processing

Tomographic techniques in image and signal processing

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advanced signal-processing algorithms, architectures, and implementations

作者： Snyder, Donald L. Washington Univ St. Louis United States

An iterative solution is given for solving deblurring problems having nonnegativity constraints through the use of methods motivated by tomographic imaging. After briefly reviewing three versions of tomographic-imaging problems, the paper indicates how methods that have proven to be powerful for the third version, weighted-integral tomography, can be applied to the more general deblurring problem when nonnegativity constraints are present.

关键词： signal processing

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Local stationarity and time-frequency distributions local stationarity and time-frequency distributions

Local stationarity and time-frequency distributions local st...

引用

advanced signal processing algorithms, architectures, and implementations xVI

作者： Galleani, Lorenzo Cohen, Léon Suter, Bruce City University of New York 695 Park Avenue New York NY 10021 Air Force Research Laboratory 525 Brooks Road Rome NY 13441 United States Dipartimento di Elettronica Politecnico di Torino 10129 Torino Italy

ISBN: (纸本)0819463922

We use time-frequency distributions to define local stationarity of a random process. We argue that local stationarity is achieved when the Wigner spectrum is approximately factorable. We show that when that is the case the autocorrelation function is the one considered by Silverman in 1957. Other time-frequency represenations are also considered.

关键词： signal filtering and prediction

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IMPLEMENTATION OF OMEGA-K SYNTHETIC-APERTURE RADAR IMAGING ALGORITHM ON A MASSIVELY-PARALLEL SUPERCOMPUTER

IMPLEMENTATION OF OMEGA-K SYNTHETIC-APERTURE RADAR IMAGING A...

引用

conference on algorithms for Synthetic Aperture Radar Imagery

作者： YERKES, C WEBSTER, E USN COMMAND CTR CONTROL & OCEAN SURVEILLANCEDIV RES DEV TEST & EVALUATSAN DIEGOCA

ISBN: (纸本)0819415340

advanced algorithms for synthetic aperture radar (SAR) imaging have in the past required computing capabilities only available from high performance special purpose hardware. Such architectures have tended to have short life cycles with respect to development expense. Current generation Massively Parallel Processors (MPP) are offering high performance capabilities necessary for such applications with both a scalable architecture and a longer projected life cycle. In this paper we explore issues associated with implementation of a SAR imaging algorithm on a mesh configured MPP architecture.

关键词： Synthetic aperture radar Image processing Radar Radar imaging Image acquisition Data communications Digital signal processing Image compression Parallel computing signal processing

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On updating signal subspaces

On updating signal subspaces

引用

advanced signal processing algorithms, architectures, and implementations 1990

作者： Bischof, Christian H. Shroff, Gautam M. Argonne National Laboratory 9700 S. Cass Ave. ArgonneIL60439 United States Deptartment of Computer Science Rennselaer Polytechnic Institute TroyNY12180 United States

We develop an algorithm for adaptively estimating the noise subspace of a data matrix, as is required in signal processing applications employing the 'signal subspace' approach. The noise subspace is estimated using a rank-revealing QR factorization instead of the more expensive singular value or eigenvalue decompositions. Using incremental condition estimation to monitor the smallest singular values of triangular matrices, we can update the rank-revealing triangular factorization inexpensively when new rows are added and old rows are deleted. Experiments demonstrate that the new approach usually requires O(n2) work to update annxn matrix, and accurately tracks the noise subspace. © 1990 SPIE. All rights reserved.

关键词： Factorization

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Sensor array processing for random inhomogeneous media

Sensor array processing for random inhomogeneous media

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Proceedings of the 1999 advanced signal processing algorithms, architectures, and implementations Ix

作者： Ringelstein, J. Gershman, A.B. Boehme, J.F. Ruhr Univ Bochum Germany

The performances of high-resolution array processing methods are known to degrade in random inhomogeneous media because the amplitude and phase of each wavefront tend to fluctuate and to loose their coherence between array sensors. As a result, in the presence of such a multiplicative noise, the conventional coherent wavefront model becomes inapplicable. Such a type of degradation may be especially strong for large aperture arrays. Below, we develop new high-resolution covariance matching (CM) techniques with an improved robustness against multiplicative noise and related coherence losses. Using a few unrestrictive physics-based assumptions on the environment, we show that reliable algorithms can be developed which take into account possible coherence losses. Computer simulation results and real sonar data processing results are presented. These results demonstrate drastic improvements achieved by our approach as compared with conventional high-resolution array processing techniques.

关键词： Parallel processing systems

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Direction-finding using a modified minimum eigenvector technique

Direction-finding using a modified minimum eigenvector techn...

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advanced signal-processing algorithms, architectures, and implementations

作者： Er, Meng H. Nanyang Technological Inst Singapore

In this paper, an adaptive algorithm for direction-finding of correlated sources is presented. The algorithm is low in computational complexity and it does not require determination of the effective rank of the array correlation matrix. The algorithm employs a gradient technique to determine the minimum eigenvector of the correlation matrix and an orthogonalization technique to determine the second minimum eigenvector. The two noise eigenvectors are then used to compute the spatial spectra. The angle of arrivals can then be found by superimposing the two spectra. To verify further the true arrivals, additional spatial spectral can be computed using a combination of the two noise eigenvectors. Numerical results show that the proposed algorithms are effective in resolving correlated sources.

关键词： signal processing

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A high-speed implementation of manifold coordinate representations of hyperspectral imagery: A GPU-based approach to rapid nonlinear modeling

A high-speed implementation of manifold coordinate represent...

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conference on algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery xVI

作者： Topping, T. Russell French, James Hancock, Monte F., Jr. Celestech Inc Phoenix AZ 85048 USA

ISBN: (纸本)9780819481597

Working with the Naval Research Laboratory, Celestech has implemented advanced non-linear hyperspectral image (HSI) processing algorithms optimized for Graphics processing Units (GPU). These algorithms have demonstrated performance improvements of nearly 2 orders of magnitude over optimal CPU-based implementations. The paper briefly covers the architecture of the NIVIDIA GPU to provide a basis for discussing GPU optimization challenges and strategies. The paper then covers optimization approaches employed to extract performance from the GPU implementation of Dr. Bachmann's algorithms including memory utilization and process thread optimization considerations. The paper goes on to discuss strategies for deploying GPU-enabled servers into enterprise service oriented architectures. Also discussed are Celestech's on-going work in the area of middleware frameworks to provide an optimized multi-GPU utilization and scheduling approach that supports both multiple GPUs in a single computer as well as across multiple computers. This paper is a complementary work to the paper submitted by Dr. Charles Bachmann entitled "A Scalable Approach to Modeling Nonlinear Structure in Hyperspectral Imagery and Other High-Dimensional Data Using Manifold Coordinate Representations". Dr. Bachmann's paper covers the algorithmic and theoretical basis for the HSI processing approach.

关键词： Hyperspectral Image processing Graphics processing Units GPU Non-linear

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Fast on-line multiplication units using LSA organization

Fast on-line multiplication units using LSA organization

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Proceedings of the 1999 advanced signal processing algorithms, architectures, and implementations Ix

作者： Tenca, Alexandre F. Ercegovac, Milos D. Louie, Marianne E. Oregon State Univ Corvallis United States

This paper presents the application of the Linear Sequential Array (LSA) retiming approach, developed for conventional digit-recurrence algorithms, to on-line multiplication. The result is a modular and fast pipelined structure which due to a small constant fan-out and cycle time independent of precision is suitable for FPGA implementation. First we present the basics of on-line multiplication, and determine data dependencies according to the LSA design methodology. Based on these dependencies we redesign the traditional on-line multiplier to obtain the LSA structure. Since in DSP applications one of the multiplier operands is fixed for a long sequence of operations, we briefly present a parallel-serial multiplication unit that receives one of the operands in parallel and the other operand in Most-Significant-Digit-First format. Performance and area results are provided for the LSA on-line multiplier design and then compared with the conventional on-line design, using xilinx FPGAs as the target technology.

关键词： Digital signal processing

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