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Review of Parallel Computing Techniques for Computed Tomography Image Reconstruction

Jun Ni, Xiang Li, Tao He, Ge Wang
2006 Current Medical Imaging Reviews  
This paper focuses on the speedup the computation using parallel computing. The first generation of parallel computing systems was based on a centralized parallel configuration.  ...  For a decent, a cone-beam reconstruction usually takes hours on a regular PC, since most of algorithms take more than 60 iterations even longer.  ...  (Fig. 6 ) Most of these studied have targeted EM and OS-EM algorithms for PET and SPECT. In [56] parallel OS-SART was implemented on a Linux cluster for X-ray CT.  ... 
doi:10.2174/157340506778777097 fatcat:7x6fzwoq2zbgdkwlias2ydpvcq

A method for OSEM PET reconstruction on parallel architectures using STIR

Tobias Beisel, Stefan Lietsch, Kris Thielemans
2008 2008 IEEE Nuclear Science Symposium Conference Record  
To accelerate image reconstruction of positron emission tomography (PET) data, we introduced an approach for parallel architectures by applying the message passing paradigm to an existing implementation  ...  To allow for the use of arbitrary parallel systems, the standard message passing interface (MPI) was used to implement the parallel OSEM algorithm.  ...  ACKNOWLEDGMENT The authors would like to thank Dr. Harald Fricke of the 'Herz-und Diabeteszentrum Nordrhein-Westfalen' for the consistent support and the provision of the used test data.  ... 
doi:10.1109/nssmic.2008.4774198 fatcat:uxncqxqwb5gdjb6iverf2nthbu

Internet2-based 3D PET image reconstruction using a PC cluster

D W Shattuck, J Rapela, E Asma, A Chatzioannou, J Qi, R M Leahy
2002 Physics in Medicine and Biology  
The cluster implements a parallelized version of our preconditioned conjugate gradient method for fully 3D MAP image reconstruction.  ...  The system compresses PET data on the user's machine, sends these data over a network, and instructs the PC cluster to reconstruct the image.  ...  Acknowledgments This work was supported by grant R01-EB00363 from the National Insitute of Biomedical Imaging and Bioengineering.  ... 
doi:10.1088/0031-9155/47/15/317 pmid:12200939 fatcat:fvfs7gx2mvft3le4onadzzyj4a

NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis

Pawel J. Markiewicz, Matthias J. Ehrhardt, Kjell Erlandsson, Philip J. Noonan, Anna Barnes, Jonathan M. Schott, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sebastien Ourselin
2017 Neuroinformatics  
We present a standalone, scalable and high-throughput software platform for PET image reconstruction and analysis.  ...  The platform also supports the development of new reconstruction and analysis algorithms through restricting the axial field of view to any set of rings covering a region of interest and thus performing  ...  The Florbetapir PET tracer was provided by AVID Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly & Co).  ... 
doi:10.1007/s12021-017-9352-y pmid:29280050 pmcid:PMC5797201 fatcat:n5z6nee3e5gyfhdqgjosprxzhm

Free Software for PET Imaging [chapter]

Roberto de la Prieta
2012 Positron Emission Tomography - Current Clinical and Research Aspects  
Again, this is left to other toolkits/libraries to provide • Multi-threaded (shared memory) parallel processing is supported The development of the toolkit is based on principles of extreme programming  ...  In short, λ = 0, N s = 0 for ML-EM, λ = 0, N s > 0 for OSEM, and λ > 0, N s = 0 for MRP Free Software for PET Imaging See also: Virtual PET scanner.  ...  Free Software for PET Imaging, Positron Emission Tomography -Current Clinical and Research Aspects, Dr.  ... 
doi:10.5772/31882 fatcat:beoywmjmzzcyfkbrgbk7i4z7am

Iterative reconstruction methods in X-ray CT

Marcel Beister, Daniel Kolditz, Willi A. Kalender
2012 Physica medica (Testo stampato)  
We give an overview on the terminology used and an introduction to the most important algorithmic concepts including references for further reading.  ...  As a practical example, details on a model-based iterative reconstruction algorithm implemented on a modern graphics adapter (GPU) are presented, followed by application examples for several dedicated  ...  Michael Lell for providing the images in Section: "Clinical CT".  ... 
doi:10.1016/j.ejmp.2012.01.003 pmid:22316498 fatcat:hfeovdxfpbfyxbuxo6ufs2bcfa

Feasibility study of a point-of-care positron emission tomography system with interactive imaging capability

Jianyong Jiang, Ke Li, Sergey Komarov, Joseph A. O'Sullivan, Yuan-Chuan Tai
2019 Medical Physics (Lancaster)  
Using TOF PET detectors, we demonstrated the feasibility of a PET system that can provide timely visual feedback to an operator who can scan a patient interactively to support POC imaging applications.  ...  We also evaluated an interactive scanning strategy by progressively increasing the number of data sets used for image reconstruction.  ...  Zheng Gu from the University of California Los Angeles for providing one of the H8500 PMT; Jonathan Elson for fabricating the detector holders; Prof. Yongjian Liu and Dr.  ... 
doi:10.1002/mp.13397 pmid:30667069 pmcid:PMC6453727 fatcat:ou5uutlgtnejzoa33ylhqjq5te

Resistive plate chambers in positron emission tomography

Paulo Crespo, Alberto Blanco, Miguel Couceiro, Nuno C. Ferreira, Luís Lopes, Paulo Martins, Rui Ferreira Marques, Paulo Fonte
2013 The European Physical Journal Plus  
Reconstruction of whole-body simulated data is feasible by using a dedicated, direct time-of-flight-based algorithm implemented onto an ordered subsets estimation maximization parallelized strategy.  ...  We show a large-area RPC-PET simulated scanner covering an axial length of 2.4 m -slightly superior to the height of the human body-allowing for whole-body, single-bed RPC-PET acquisitions.  ...  João José Pedroso de Lima is highly acknowledged for his incentive and official support to the project. This work has been supported by the Portuguese Government and  ... 
doi:10.1140/epjp/i2013-13073-5 fatcat:2jkecz7zrfd7rcdfbms3t53ok4

Power pulsing of the CALICE tile hadron calorimeter

Mathias Reinecke
2016 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)  
In this talk I will describe the scientific aims of DUNE, focussing on the experimental challenges in constructing an operating very large liquid argon time projection chamber detectors.  ...  This achievement was recognised through the award of the 2015 Nobel prize for physics to the leaders of the SNO and Super-Kamiokande experiments for the conclusive establishment of the phenomenon of neutrino  ...  M13A-9: A Direct Image Reconstruction Algorithm for PET Scanners Based on Monolithic Crystals Acknowledgments: This work was done as part of the INSERT collaboration, which is supported by the EC: FP7-  ... 
doi:10.1109/nssmic.2016.8069748 fatcat:zjgd7dmfdbhntb4kfwdtrlejhi

A combined local and global motion estimation and compensation method for cardiac CT

Qiulin Tang, Beshan Chiang, Akinola Akinyemi, Alexander Zamyatin, Bibo Shi, Satoru Nakanishi, Bruce R. Whiting, Christoph Hoeschen
2014 Medical Imaging 2014: Physics of Medical Imaging  
Thus, it is possible to run in the region of 220 threads simultaneously. An existing list-mode image reconstruction algorithm was ported to run on the Xeon Phi using pthreads.  ...  There were no differences between images reconstructed using the Phi co-processor card and images reconstructed using the same algorithm implemented on a Linux server.  ...  FTIR chemical imaging allows the spatial distribution of chemistry to be rapidly imaged at a high (diffraction limited) spatial resolution where a pixel represents an area of 5.5 ? 5.5 µm2 of tissue.  ... 
doi:10.1117/12.2043492 fatcat:fyzpc5m6jbh7fjohqpdmtzkhte

CARS 2016—Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition Heidelberg, Germany, June 21–25, 2016

2016 International Journal of Computer Assisted Radiology and Surgery  
We would like to thank the Spanish company BQ for the donation of the 3D printing hardware for clinical use.  ...  '', and Amazon Inc., for providing valuable computing resources through an ''AWS in Education Research'' grant.  ...  The image is reconstructed using Filtered Back Projection (FBP) algorithm which is a commonly used method in conventional PET systems.  ... 
doi:10.1007/s11548-016-1412-5 pmid:27206418 fatcat:uk5r46n2xvhedkfjzmeiweyneq

An Application Independent Review of Multimodal 3D Registration Methods

Ph.D. E. Saiti, T. Theoharis
2020 Computers & graphics  
Methods with publicly available source code have been compared on common datasets. A discussion on trends, observations and challenges for further research concludes the review.  ...  This survey aims to unify 3D multimodal registration techniques (i.e. where at least one of the modalities is in 3D) across application domains, with the hope of providing an applicationindependent view  ...  GPUs are highly parallel computing engines, which can execute multiple threads in parallel.  ... 
doi:10.1016/j.cag.2020.07.012 fatcat:ggb4esbyhrfzxhcequym5dariu

Deep Learning in Mining Biological Data [article]

Mufti Mahmud, M Shamim Kaiser, Amir Hussain
2020 arXiv   pre-print
Mining such an enormous amount of data for pattern recognition is a big challenge and requires sophisticated data-intensive machine learning techniques.  ...  Highlighting the role of DL in recognizing patterns in biological data, this article provides - applications of DL to biological sequences, images, and signals data; overview of open access sources of  ...  As the performance of RNN depends on the input length, an input length of 32 was used for the experiment.  ... 
arXiv:2003.00108v1 fatcat:vd5yc3dvl5bvboxfkytja4zlyy

Deep Learning in Mining Biological Data

Mufti Mahmud, M. Shamim Kaiser, T. Martin McGinnity, Amir Hussain
2021 Cognitive Computation  
Focusing on the use of DL to analyse patterns in data from diverse biological domains, this work investigates different DL architectures' applications to these data.  ...  Mining such enormous amount of data for pattern recognition is a big challenge and requires sophisticated data-intensive machine learning techniques.  ...  Acknowledgements The authors would like to thank the members of the acslab (http://www.acsla for valuable discussions. Author Contributions  ... 
doi:10.1007/s12559-020-09773-x pmid:33425045 pmcid:PMC7783296 fatcat:n4nk7gakfbb4fbhdi5pqeojwjm

Brain PET Poster Sessions PP01-M01 to PP02-N07

2019 Journal of Cerebral Blood Flow and Metabolism  
Highthroughput rat brain PET imaging and automatic spatial normalization of the dopamine D2/3 receptor ligand [F-18]fallypride.  ...  Acknowledgements The authors would like to thank A. Leukona, X. Rı´os, V. Salinas for technical support in radiosynthesis and technical assistance in the PET studies.  ...  We use deep learning for PET-MR AC and compare it to the PET/CT used as gold standard and a well-performing [1] multi-atlas-based AC method [4] implemented on a CPU cluster.  ... 
doi:10.1177/0271678x19851018 pmid:31265793 pmcid:PMC6610575 fatcat:auejdo6e3rb2pjtxgqq6rkm7ie
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