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parallel implementation of a X-ray tomography reconstruction algorithm for high-resolution studies

Parallel implementation of a X-ray tomography reconstruction...

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13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013

作者： Garcia, J. Abella, M. de Molina, C. Liria, E. Isaila, F. Carretero, J. Desco, M. Computer Architecture and Communication Area University Carlos III Madrid Spain Bioengineering and Aerospace Engineering Dept. University Carlos III Madrid Spain Madrid Spain Madrid Spain

ISBN: (纸本)9783319008455

Most small-animal X-ray computed tomography (CT) scanners are based on cone-beam geometry with a flatpanel detector orbiting in a circular trajectory. image reconstruction in these systems is usually performed by approximate methods based on the algorithm proposed by Feldkamp, Davis and Kress (FDK). Currently there is a strong need to speed-up the reconstruction of CT data in order to extend its clinical applications. The evolution of the semiconductor detector panels has resulted in an increase of detector elements density, which produces a higher amount of data to process. This work focuses on both standard and future high-resolution studies, in which multiple level of parallelism will be needed in the reconstruction process. In addition, this paper addresses the future challenges of processing high-resolution images in many-core and distributed architectures. © Springer International Publishing Switzerland 2014.

关键词： parallel architectures

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High-performance computing in image registration

High-performance computing in image registration

引用

Conference on High-Performance Computing in Remote Sensing II

作者： Zanin, Michele Remondino, Fabio Dalla Mura, Mauro FBK Via Sommar 18 I-38123 Trento Italy Grenoble Inst Technol GIPSA Iab Grenoble France

ISBN: (纸本)9780819492791

Thanks to the recent technological advances, a large variety of image data is at our disposal with variable geometric, radiometric and temporal resolution. In many applications the processing of such images needs high performance computing techniques in order to deliver timely responses e. g. for rapid decisions or real-time actions. Thus, parallel or distributed computing methods, Digital Signal Processor (DSP) architectures, Graphical processing Unit (GPU) programming and Field-Programmable Gate Array (FPGA) devices have become essential tools for the challenging issue of processing large amount of geo-data. The article focuses on the processing and registration of large datasets of terrestrial and aerial images for 3D reconstruction, diagnostic purposes and monitoring of the environment. For the image alignment procedure, sets of corresponding feature points need to be automatically extracted in order to successively compute the geometric transformation that aligns the data. The feature extraction and matching are ones of the most computationally demanding operations in the processing chain thus, a great degree of automation and speed is mandatory. The details of the implemented operations (named LARES) exploiting parallel architectures and GPU are thus presented. The innovative aspects of the implementation are (i) the effectiveness on a large variety of unorganized and complex datasets, (ii) capability to work with high-resolution images and (iii) the speed of the computations. Examples and comparisons with standard CPU processing are also reported and commented.

关键词： High Performance Computing Graphical processing Unit photogrammetry image registration

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Exploiting parallelism in a X-ray tomography reconstruction algorithm on hybrid multi-GPU and multi-core platforms

Exploiting parallelism in a X-ray tomography reconstruction ...

引用

2012 10th IEEE International Symposium on parallel and distributed processing with Applications, ISPA 2012

作者： Liria, Ernesto Higuero, Daniel Abella, Monica De Molina, Claudia Desco, Manuel University Carlos III Madrid Spain Hospital General Universitario Gregorio Marañón Madrid Spain

ISBN: (纸本)9780769547015

Most small-animal X-ray computed tomography (CT) scanners are based on cone-beam geometry with a flat-panel detector orbiting in a circular trajectory. image reconstruction in these systems is usually performed by approximate methods based on the algorithm proposed by Feldkamp et al. Currently there are a strong need to speed-up the reconstruction of XRay CT data in order to extend its clinical applications. We present an efficient modular implementation of an FDK-based reconstruction algorithm that takes advantage of the parallel computing capabilities and the efficient bilinear interpolation provided by general purpose graphic processing units (GPGPU). The proposed implementation of the algorithm is evaluated for a high-resolution micro-CT and achieves a speed-up of 46, while preserving the reconstructed image quality. © 2012 IEEE.

关键词： Graphics processing unit

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An optimal software-pipelining method for instruction-level parallel processors based on scaled retiming

An optimal software-pipelining method for instruction-level ...

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International Symposium on image and Signal processing and Analysis

作者： F. Fernandez A. Sanchez A. Duarte Dept. Fotónica FI-UPM Campus Montegancedo Madrid Spain ESCET-URJC Campus de Móstoles Madrid Spain

ISBN: (纸本)9539676940

Software pipelining is an instruction-level loop scheduling method for achieving high performance fine-grain parallelism on VLIW (very long instruction word) processors. This paper presents a novel software pipelining method for non-pipelining parallel processors based on integer scaling and retiming transformations. This approach generalises and simplifies the analogous extended retiming model of T.W. O'Neil et al. (see Proc. ISCA 12th Int. Conf. parallel & distributed Computing Syst., p.292-7, 1999; Proc. of ICASSP'99 Conf., vol.4 p.2001-4, 1999). Matrix techniques are used in order to simplify the corresponding graph transformations. Some general properties taken from algebraic graph theory are applied in order to obtain general scheduling techniques: node and cycle methods. The two-phase scheduling method considered is first defined by means of two standard linear programming problems. We transform the corresponding problems into some variants of the maximum cost-to-time ratio problem and shortest path problem, in order to obtain efficient polynomial time algorithms. An example of software pipelining optimization of a digital correlator is also given.

关键词： Pipeline processing Processor scheduling VLIW Software performance parallel processing distributed computing Graph theory Linear programming Shortest path problem Polynomials

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parallel and distributed methods for image processing iii : 22 July 1999, Denver, Colorado / Hongchi Shi, Patrick C. Coffield, chairs/editors;sponsored by SPIE--the International Society for Optical

Parallel and distributed methods for image processing III : ...

引用

1999年

作者： Hongchi Shi Patrick C. Coffield chairs/editors sponsored by SPIE--the International Society for Optical Engineering cooperating organization Society for Industrial and Applied Mathematics (SIAM

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Design of fast algorithms for projections through matrix decomposition

Design of fast algorithms for projections through matrix dec...

引用

Conference on parallel and distributed methods for image processing iii

作者： Li, HZ Shi, HC Univ Missouri Dept Comp Sci & Comp Engn Columbia MO 65212 USA

ISBN: (纸本)0819433039

Projection is a frequently used process in image processing and visualization. In volume graphics, projection is used to render the essential content of a 3D volume onto a 2D image plane. For Radon transform, projection is used to transform the image space into a parameter space. In this paper, we propose a matrix decomposition method called identity-plus-row decomposition for designing fast algorithms for projections. By applying this method, we solve the data redistributed problem due to the irregular data access patterns present in those applications on SIMD mesh-connected computers, developing fast algorithms for volume rendering and Radon transform an SIMD mesh-connected computers.

关键词： image processing matrix decomposition parallel algorithm mesh connected computers

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Programming tool for real-time image processing on a distributed system

Programming tool for real-time image processing on a distrib...

引用

proceedings of the 1999 parallel and distributed methods for image processing iii

作者： Arita, Daisaku Hamada, Yoshio Taniguchi, Rin-ichiro Kyushu Univ Japan

A real-time distributed image processing system requires data transfer, synchronization and error recovery. However, it is difficult for a programmer to describe these mechanisms. To solve this problem, we are developing a programming tool for real-time image processing on a distributed system. Using the programming tool, a programmer indicates only data flow between computers and image processing algorithms on each computer. In this paper, we outline specifications of the programming tool and show sample programs on the programming tool.

关键词： Computer aided software engineering

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Automatic derivation of programs for image processing from natural language descriptions

Automatic derivation of programs for image processing from n...

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Conference on parallel and distributed methods for image processing iii

作者： Ren, F Zaima, Y Hiroshima City Univ Fac Informat & Sci Hiroshima Japan

ISBN: (纸本)0819433039

In this paper we describe AIDPG, an interactive prototype system, which derives computer programs from their natural language descriptions. AIDPG shows how to analyze natural language, resolve ambiguities using knowledge, and generates programs. AIDPG consists of a natural language input model (NLI-Model), a natural language analysis model (NLA-Model), a program generation model (PGG-Model) and a human machine interface control model (HMC-Model). The PGG model has three sub-models, program structure manage sub-model, a data structure and type manage sub-model, and program base manage sub-model. We used an arithmetic problem, which, described in Japanese, was passed to AIDPG and got run-possible C programs. Although AIDPG is basic currently we got a significant result.

关键词： automatic derivation of programs natural language descriptions knowledge ambiguity

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parallel implementation of the Karhunen-Loeve procedure for image recognition

Parallel implementation of the Karhunen-Loeve procedure for ...

引用

proceedings of the 1999 parallel and distributed methods for image processing iii

作者： Liu, Haisong Wu, Minxian Jin, Guofan He, Qingsheng Yan, Yingbai Tsinghua Univ Beijing China

The Karhunen-Loeve(K-L) transform is very useful in image representation and classification. However, the parallel implementation of it through some optical methods have rarely been investigated. In this paper, we constructed a photorefractive crystal based optical processor and implemented the time-consuming projection and operations of the K-L transform in parallel so that the speed of the image processing can be greatly improved. In our approach, a set of eigenimages extracted from a large number of training images by K-L transform are stored in the crystal by using the two-wave mixing technique. When any view image inputs the processor, spatially separated beams with different light intensities are obtained in parallel. The intensity of each beam just represents the projection result between the input image and each eigenimage. The high speed can sufficiently demonstrate the advantage of the optical computing based parallel architecture for image processing.

关键词： image processing

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parallel architecture for the Discrete Wavelet Transform based on the lifting factorization

Parallel architecture for the Discrete Wavelet Transform bas...

引用

Conference on parallel and distributed methods for image processing iii

作者： Jiang, WQ Ortega, A Univ So Calif Dept Elect Engn Syst Integrated Media Syst Ctr Los Angeles CA 90089 USA

ISBN: (纸本)0819433039

One major difficulty in designing an architecture for the parallel implementation of Discrete Wavelet Transform (DWT) is that the DWT is not a block transform. As a result, frequent communication has to be set up between processors to exchange data so that correct boundary wavelet coefficients can be computed. The significant communication overhead thus hampers the improvement of the efficiency of parallel systems, specially for processor networks with large communication latencies. In this paper we propose a new technique, called Boundary Postprocessing, that allows the correct transform of boundary samples. The basic idea is to model the DWT as a Finite State Machine (FSM) based on the lifting factorization of the wavelet filterbanks. Application of this technique leads to a new parallel DWT architecture, Sg,lit-and-Merge, which requires data to be communicated only once between neighboring processors for any arbitrary level of wavelet decompositions. Example designs and performance analysis for 1D and 2D DWT show that the proposed technique can greatly reduce the interprocessor communication overhead. As an example, in a two-processor case our proposed approach shows an average speedup of about 30% as compared to best currently available parallel computation.

关键词： Discrete Wavelet Transform parallel architecture finite state machine boundary postprocessing split-and-merge

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