209,347 Hits in 4.1 sec

NOW based parallel reconstruction of functional images

F. Munz, T. Stephan, U. Maier, T. Ludwig, A. Bode, S. Ziegler, S. Nekolla, P. Bartenstein, M. Schwaiger
Proceedings of the First Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing  
This paper deals with the parallel implementation of reconstruction algorithms for functional imaging on a network of workstations (NOW).  ...  After giving an overview of currently used image reconstruction algorithms, we describe a general parallel implementation of these algorithms with almost linear speedup and high efficiency which cuts down  ...  Conclusions In this paper we presesented a general way to implement parallel reconstruction algorithms on a NOW.  ... 
doi:10.1109/ipps.1998.669912 dblp:conf/ipps/MunzSMLBZNBS98 fatcat:irhsxqcairfltdh24qcudp3sae

Joint reconstruction of PET-MRI by exploiting structural similarity

Matthias J Ehrhardt, Kris Thielemans, Luis Pizarro, David Atkinson, Sébastien Ourselin, Brian F Hutton, Simon R Arridge
2014 Inverse Problems  
As function and anatomy are not independent of one another the images to be reconstructed are likely to have shared structures.  ...  Recent advances in technology have enabled the combination of positron emission tomography (PET) with magnetic resonance imaging (MRI).  ...  MJE was supported by an IMPACT studentship funded jointly by Siemens and the UCL Faculty of Engineering Sciences.  ... 
doi:10.1088/0266-5611/31/1/015001 fatcat:ykqxuhftbzfm3igx7wfxzsl5ni

Spherical function regularization for parallel MRI reconstruction [article]

Yonggui Zhu, Tuomo Valkonen
2018 arXiv   pre-print
From the optimization point of view, a difficulty with parallel MRI with simultaneous coil sensitivity estimation is the multiplicative nature of the non-linear forward operator: the image being reconstructed  ...  Numerically, we study the solution of the model with non-linear ADMM. We perform various numerical simulations to demonstrate the efficacy of the proposed model in parallel MRI reconstruction.  ...  Improved Reconstruction in Non-cartesian Parallel Imaging by Regularized Nonlinear Inversion, Proceedings of the th Scienti c Meeting & Exhibition of ISMRM, . [ ] K et al., Parallel Imaging with Nonlinear  ... 
arXiv:1802.01108v1 fatcat:aqjj4lld2zgczm6ikbmicu2f4q

Accelerated MRI for the assessment of cardiac function

Leon Axel, Ricardo Otazo
2016 British Journal of Radiology  
MRI of the heart can provide clinically useful information on cardiac function, although it is still not routinely used in clinical practice, in part because of limited imaging speed.  ...  Heart disease is a worldwide public health problem; assessment of cardiac function is an important part of the diagnosis and management of heart disease.  ...  Figure 1 . 1 k-t undersampling techniques used for imaging of cardiac function. Figure 2 . 2 Parallel imaging principle.  ... 
doi:10.1259/bjr.20150655 pmid:27033471 pmcid:PMC5257298 fatcat:otdtru3tznblnjogivmrtu7ltm

Parallel ART for image reconstruction in CT using processor arrays

Dan Gordon
2006 International Journal of Parallel, Emergent and Distributed Systems  
The parallel technique can be applied to various geometric models of image reconstruction, as well as to 3D reconstruction with spherically symmetric volume elements, using a 2D rectangular mesh-connected  ...  Reconstructing an image of n pixels from Q(n) equations can be done on a linear array of p ¼ Oð ffiffi ffi n p Þ processors with optimal efficiency (linear speedup) and O(n/p) memory for each processor  ...  Parallel algorithms for image reconstruction The issue of parallelism in the context of image reconstruction in CT is by no means new.  ... 
doi:10.1080/17445760600604157 fatcat:dghchbkbinf7tgtj5cdskpbvve

Respiratory compensation in projection imaging using a magnification and displacement model

C.R. Crawford, K.F. King, C.J. Ritchie, J.D. Godwin
1996 IEEE Transactions on Medical Imaging  
Computer simulations and scans of phantoms on a commercial CT scanner validate the new reconstruction algorithms for parallel and fan-beam projections.  ...  Using this model an exact filtered backprojection algorithm is derived for the case of parallel projections.  ...  Now consider the reconstruction formula (18) after the change of variables given in (17) .  ... 
doi:10.1109/42.500141 pmid:18215913 fatcat:gb5wy3gyc5h5flei7lkc3ukseu

A New Tool for Intelligent Parallel Processing of Radar/SAR Remotely Sensed Imagery

A. Castillo Atoche, R. Carrasco Alvarez, J. Ortegón Aguilar, J. Vázquez Castillo
2013 Mathematical Problems in Engineering  
A novel parallel tool for large-scale image enhancement/reconstruction and postprocessing of radar/SAR sensor systems is addressed.  ...  The proposed parallel tool performs the following intelligent processing steps: image formation, for the application of different system-level effects of image degradation with a particular remote sensing  ...  Now, we describe the specific functions and CUDA kernels used for efficient implementation of image formation/ reconstruction/post-processing on the GPU.  ... 
doi:10.1155/2013/405372 fatcat:6e7dikhcs5hyjn5zxqgttg22jq

Benefits of angular expression to reconstruction algorithms for collimators with spatially varying focal lengths

Jiangsheng You, Shanglian Bao, Zhengrong Liang
1997 IEEE Transactions on Medical Imaging  
Fan-beam collimators with spatially varying focal lengths are used in single photon emission computed tomography (SPECT) to improve the imaging sensitivity and to reduce the reconstruction artifacts resulting  ...  An angular representation of the detector coordinates for the projection data is adopted to investigate several aspects of the reconstruction problem for this type of collimation.  ...  Fig. 4 . 4 Reconstructed image for focal length function 1). Fig. 5 . 5 Reconstructed image for focal length function 2). Fig. 6 . 6 Reconstructed image for focal length function 3).  ... 
doi:10.1109/42.640742 pmid:9368108 fatcat:qu5v3hl22fbr7ebnfxy2xyyk54

A Network Flow Algorithm for Reconstructing Binary Images from Continuous X-rays

Kees Joost Batenburg
2007 Journal of Mathematical Imaging and Vision  
If the object of interest is known in advance to consist of only a few different materials, corresponding to known image intensities, the use of this prior knowledge in the reconstruction procedure can  ...  Tomography is a powerful technique to obtain accurate images of the interior of an object in a nondestructive way.  ...  For the parallel beam case, Problem 3 can now be solved by computing an integral solution of the minimum cost flow problem in G ′ .  ... 
doi:10.1007/s10851-007-0053-2 fatcat:pvlrjcls7bg4tbxomp3udu7xka


Bharathi Lakshmi Agnimarimuthu, Christopher Durairaj Daniel Durairaj
2017 Jurnal Ilmu Komputer dan Informasi  
The present work attempts to reveal a parallel Algebraic Reconstruction Technique (pART) to reduce the computational speed of reconstructing artifact-free images from projections.  ...  The experimental results demonstrate that the parallel computing environment provides a source of high computational power leading to obtain reconstructed image instantaneously.  ...  It has also been shown that shared memory parallelization is more suitable than distributed memory parallelization for image processing tasks and leads to better throughput as most of the computers now  ... 
doi:10.21609/jiki.v10i2.449 fatcat:icrjfmtojrdjfp5pj4fzlkqmfm

Alignment Solution for CT Image Reconstruction by Fixed Point and Virtual Rotation Axis [article]

Kyungtaek Jun, Seokhwan Yoon, Kyu Kwon
2016 arXiv   pre-print
Since X-ray tomography is now widely adopted in many different areas, it becomes more crucial to find a robust routine of handling tomographic data to get quality reconstructed images.  ...  A new physical concept of Center of Attenuation (CA) was also introduced to figure out how this fixed point is applied to the image reconstruction with errors we further categorized.  ...  The reconstructed image using the sinogram with the CA and the ,φ,h function applied ( Fig. 9(b) ) showed no difference in terms of image itself when compared with the reconstructed image of Fig. 9(a  ... 
arXiv:1605.04833v2 fatcat:yc2kipvahbfsthfvqkhzvhtmte

Reflective Imaging Solved by the Radon Transform

Gael Rigaud, Jean-Baptiste Bellet, Gerard Berginc, Ion Berechet, Stefan Berechet
2016 IEEE Geoscience and Remote Sensing Letters  
This paper is concerned with imaging a 3D scene from a set of 2D laser images of backscattered intensity.  ...  Under this assumption, the use of the reconstruction techniques, such as the well-known filtered backprojection (FBP), provides a 3D-surface reconstruction of the scene from reflective data.  ...  project is part of program RAPID implemented by French Directorate General of Armament.  ... 
doi:10.1109/lgrs.2016.2554662 fatcat:7fsz5zl36vhbta5ordfbn3wjpm

Multiresolution reconstruction in fan-beam tomography

S. Bonnet, F. Peyrin, F. Turjman, R. Prost
2002 IEEE Transactions on Image Processing  
The main applications of the method are denoising and wavelet-based image analysis.  ...  This multiresolution algorithm allows to compute both the quincunx approximation and detail coefficients of an image from its fan-beam projections.  ...  ., we consider now the parallel case), we recover the parallel quincunx multiresolution tomographic algorithm [18] .  ... 
doi:10.1109/83.988951 pmid:18244621 fatcat:gmxba7ws7je4vh5nslauxo523e

Bayesian image reconstruction for emission tomography incorporating Good's roughness prior on massively parallel processors

M. I. Miller, B. Roysam
1991 Proceedings of the National Academy of Sciences of the United States of America  
Imaging 1, 113-121] of the expectation-maximiztion algorithm for the generation of maximum-likelihood images in emission tomography, a number of investigators have applied the maximumlikelihood method  ...  Though this approach is promising, it is now well known that the unconstrained maximum-likelihood approach has two major drawbacks: (i) the algorithm is computationally demanding, resulting in reconstruction  ...  Introduction The image reconstruction problems addressed here arise in a variety of contexts in emission tomography where A(x), the image to be reconstructed, is an unknown positive intensity.  ... 
doi:10.1073/pnas.88.8.3223 pmid:2014243 pmcid:PMC51418 fatcat:x76iaizgmngmrkqmesi4azm5lu

Gaussian process analysis of Electron Energy Loss Spectroscopy (EELS) data: parallel reconstruction and kernel control [article]

Sergei V. Kalinin, Andrew R. Lupini, Rama K. Vasudevan, Maxim Ziatdinov
2020 arXiv   pre-print
At the same time, Gaussian process (GP) methods that explicitly incorporate spatial correlations in the form of kernel functions tend to be extremely computationally intensive, while the use of inducing  ...  In this parallel GP, the information between the components is shared via a common spatial kernel structure while allowing for variability in the relative noise magnitude or image morphology.  ...  These observations suggest that parallel GP improves the quality of the reconstruction when the spatial structure of the images is similar.  ... 
arXiv:2005.10507v1 fatcat:s6jdj6pewvd6plcunaqp4pfvwa
« Previous Showing results 1 — 15 out of 209,347 results