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Medical image processing on the GPU – Past, present and future
2013
Medical Image Analysis
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Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they can dramatically accelerate parallel computing, are affordable and energy efficient. ...
The review covers GPU acceleration of basic image processing operations (filtering, interpolation, histogram estimation and distance transforms), the most commonly used algorithms in medical imaging (image ...
Smith et al. (2012) instead used a Split Bregman solver and were able to reconstruct breast images of the size 4096 x 4096 in about 8 seconds. ...
doi:10.1016/j.media.2013.05.008
pmid:23906631
fatcat:vsoek36pb5cuxdcmhlvfojwjuu
Compressed sensing MRI: a review from signal processing perspective
2019
BMC Biomedical Engineering
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This often limits the use of MRI, especially for high resolution or dynamic imaging. Accordingly, many investigators has developed various acceleration techniques to allow fast MR imaging. ...
For the last two decades, one of the most important breakthroughs in this direction is the introduction of compressed sensing (CS) that allows accurate reconstruction from sparsely sampled k-space data ...
For example, the popular op-timization methods such as forward-backward splitting (FBS) [29] , split Bregman iteration [30] , alternating directional method of multiplier (ADMM) [31] , Douglas-Rachford ...
doi:10.1186/s42490-019-0006-z
pmid:32903346
pmcid:PMC7412677
fatcat:csxgccdfsndf5gqqstxdlejo44
Alternating Linearization for Structured Regularization Problems
[article]
2014
arXiv
pre-print
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We also discuss implementation for very large problems, with the use of specialized algorithms and sparse data structures. ...
The method is related to two well-known operator splitting methods, the Douglas--Rachford and the Peaceman--Rachford method, but it has descent properties with respect to the objective function. ...
Total variation based image reconstruction In image recovery literature, two classes of regularizers are well known. ...
arXiv:1201.0306v3
fatcat:lx3pld2vgnfpbnmvorptzxshdq
CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI
[article]
2020
arXiv
pre-print
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Finite rate of innovation (FRI) is a powerful reconstruction framework enabling the recovery of sparse Dirac streams from uniform low-pass filtered samples. ...
The resulting optimisation problem is still non convex, but simpler since linear in the data and with less unknowns. ...
Equation (25) provides us with a three-step recipe for computing the proximal operator (22) associated to a vector ∈ C : 1) Transform the input vector into a Toeplitz matrix via the Toeplitzification ...
arXiv:2006.06374v2
fatcat:7zpd7raun5dg3pq2gdrow3v2jy
Table of contents
2021
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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and Technology of China, China SAM-6.6: FOCUSING-BASED WIDEBAND ADAPTIVE BEAMFORMING USING ........................................... 4395 COVARIANCE MATRIX RECONSTRUCTION Peng Chen, Wei Wang, Jingjie ...
AUTHENTICATION IN CLOUD Mengdi Wang, Di Xiao, Jia Liang, Chongqing University, PRIVACY-PRESERVING NEAR NEIGHBOR SEARCH VIA SPARSE CODING ................................... 2635 WITH AMBIGUATION Behrooz ...
doi:10.1109/icassp39728.2021.9414617
fatcat:m5ugnnuk7nacbd6jr6gv2lsfby
A combined local and global motion estimation and compensation method for cardiac CT
2014
Medical Imaging 2014: Physics of Medical Imaging
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This inverse problem is solved using the Split Bregman method, which has been demonstrated to be an efficient tool to solve total variation norm minimization problems. ...
variable splitting. ...
This is a manual process and can be time consuming in cases where several sections using different stains are required. ...
doi:10.1117/12.2043492
fatcat:fyzpc5m6jbh7fjohqpdmtzkhte
Modelling the dynamic pattern of surface area in basketball and its effects on team performance
2018
Journal of Quantitative Analysis in Sports (JQAS)
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Using a time series of basketball players' coordinates, we focus on the dynamics of the surface area of the five players on the court with a two-fold purpose: (i) to give tools allowing a detailed description ...
and analysis of a game with respect to surface areas dynamics and (ii) to investigate its influence on the points made by both the team and the opponent. ...
It is called a mixed SPSB design, and in the complete (orthogonal) version it is a combination of split-plot and split-block orthogonal designs. ...
doi:10.1515/jqas-2018-0041
fatcat:b3qwsi7tqjg2vdo7gbjtiorv6m
Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences
2014
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First, in the proximal-Newton method, our analytical step-size procedures allow us to do away with any globalization strategy (e.g., line-search). ...
Our analytical quadratic convergence characterization helps us adaptively switch from damped step-size to a full step-size. ...
Moreover, we study acceleration schemes via memory-based techniques and randomized, -approximate matrix projections to decrease the computational costs in the recovery process. ...
doi:10.5075/epfl-thesis-6350
fatcat:ivqql7lxmveibox2ebwjoa5tg4
Alternating linearization for structured regularization problems
2014
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We also discuss implementation for large problems, with the use of specialized algorithms and sparse data structures. ...
The method is related to two well-known operator splitting methods, the Douglas-Rachford and the Peaceman-Rachford method, but it has descent properties with respect to the objective function. ...
Total Variation Based Image Reconstruction In image recovery literature, two classes of regularizers are well known. ...
doi:10.7282/t3t72frz
fatcat:3nhampbrxzaxdhsnxnusrbackq
2-D blind deconvolution by partitioning into coupled 1-D problems using discrete Radon transforms
Proceedings., International Conference on Image Processing
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Using Wilkinson-style perturbation analysis, we derive bounds on the effects of these perturbations. This is joint work with Michael J. O'Hara. ...
Multiphase image segmentation via Modica-Mortola phase transition is essentially a different way from Mumford-Shah model. The original model assumes the image to be piecewise constant. ...
sensing there has been much recent progress in sparse image recovery from sparse Fourier transform data, using L1-norm or total variation (TV) minimization of the estimated image. ...
doi:10.1109/icip.1995.537409
dblp:conf/icip/AhnY95
fatcat:ecos74jfmfgonkuk5gsq2essp4
ALTERNATING LINEARIZATION FOR STRUCTURED REGULARIZATION PROBLEMS Alternating linearization for structured regularization problems
2014
unpublished
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We also discuss implementation for large problems, with the use of specialized algorithms and sparse data structures. ...
The method is related to two well-known operator splitting methods, the Douglas-Rachford and the Peaceman-Rachford method, but it has descent properties with respect to the objective function. ...
Wavelet based and Total variation based image reconstruction In image recovery literature, two classes of regularizers are well known. ...
fatcat:7kyh2yonlbalhar7txgtjd63fa
Mechanisms of Cognitive Development: Domain-General Learning or Domain-Specific Constraints?
2010
Cognitive Science
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To sample the schema assignments in z, we combined Gibbs updates with the split-merge scheme described by Jain and Neal (2004) . ...
The second matrix specifies information about the siren sound, and the third matrix captures the perceptual features of the seven blocks. ...
doi:10.1111/j.1551-6709.2010.01132.x
pmid:21564246
fatcat:onw6a66a5jgb3mvwu27isjvuxy
Learning with Sparcity: Structures, Optimization and Applications
2018
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This thesis develops structured sparse learning methods along with scalable optimization algorithms to explore and predict high dimensional data with complex structures. ...
When it is known that the underlying model is indeed sparse, sparse learning methods can provide us a more consistent model and much improved prediction performance. ...
On the other hand, a too sparse A will miss some useful topic-word relationships which harms the reconstruction performance. ...
doi:10.1184/r1/6720413.v1
fatcat:jnxcgqcsengk5azqtefvwxgdgm
The structural acoustic properties of stiffened shells
2008
Journal of the Acoustical Society of America
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Few studies have documented this effect, but recent work emphasizes mechanisms animals use to compensate for elevated noise. ...
Accumulating evidence of atypical mass strandings of beaked whales coincident with naval sonar exercises suggest that injury or death may result from behavioral responses of some species at lower exposure ...
Next, we explored brain activities correlated with the perceptual transitions using functional magnetic resonance imaging ͑fMRI͒. ...
doi:10.1121/1.2932806
fatcat:zohbewf2k5h7fly2hoqzfdk42e
Trends in preference, programming and design of concert halls for symphonic music
2008
Journal of the Acoustical Society of America
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Next, we explored brain activities correlated with the perceptual transitions using functional magnetic resonance imaging ͑fMRI͒. ...
Results provide physiological evidence consistent with perceptual findings that envelope recovery is reduced as the number of analysis bands increases, but is not completely eliminated for 8-and 16band ...
Soundscape source extraction using wavelet-based sparse representations. ...
doi:10.1121/1.2932471
fatcat:hhka5ml2fvcszklkzau2lw3gka
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