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Model-based Iterative CT Image Reconstruction on GPUs

Amit Sabne, Xiao Wang, Sherman J. Kisner, Charles A. Bouman, Anand Raghunathan, Samuel P. Midkiff
2017 Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming - PPoPP '17  
Model-based Iterative Reconstruction (MBIR) using Iterative Coordinate Descent (ICD) is a CT algorithm that produces state-of-the-art results in terms of image quality.  ...  Computed Tomography (CT) Image Reconstruction is an important technique used in a variety of domains, including medical imaging, electron microscopy, non-destructive testing and transportation security  ...  Department of Homeland Security under SBIR Award D15PC00110, subcontracted through High Performance Imaging LLC, and by the Indiana Economic Development Corporation (IEDC).  ... 
doi:10.1145/3018743.3018765 fatcat:vmon2sp66vfqdptbjh24nmjivi

Parallel CT image reconstruction based on GPUs

Liubov A. Flores, Vicent Vidal, Patricia Mayo, Francisco Rodenas, Gumersindo Verdú
2014 Radiation Physics and Chemistry  
Parallel CT image reconstruction based on GPUs. Radiation Physics and Chemistry. 95(1):247-250. We developed GPU-based iterative algorithm to reconstruct images.  ...  Keywords: CT image reconstruction GPU-based algorithm CUDA C a b s t r a c t In X-ray computed tomography (CT) iterative methods are more suitable for the reconstruction of images with high contrast and  ...  We are also grateful to the Alicante University for allowing to test our algorithms on Euler cluster system.  ... 
doi:10.1016/j.radphyschem.2013.03.011 fatcat:gf46boaoy5hpzao7ukerg7drtu

Evaluation of GPU-Based CT Reconstruction for Morbidly Obese Patients

Rui Liu, Mannudeep K Kalra, Jiang Hsieh, Hengyong Yu
2017 JSM biomedical imaging data papers  
In this paper, we evaluate the GPU-based CT reconstruction algorithms (one analytic algorithm and one iterative reconstruction algorithm) for obese patients with both simulated and real clinical datasets  ...  To overcome the time-consuming issue of the iterative algorithms, we apply GPU techniques to speed up the reconstruction process.  ...  To reconstruct a 512×512×512 volumetric image from 12,590 views, satisfied image quality can be achieved within 10 minutes by the GPU-based iterative algorithm.  ... 
pmid:29732460 pmcid:PMC5931393 fatcat:liym7atnandk7lztgipzqjcgwy

Iterative reconstruction methods in X-ray CT

Marcel Beister, Daniel Kolditz, Willi A. Kalender
2012 Physica medica (Testo stampato)  
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  ...  Iterative reconstruction (IR) methods have recently re-emerged in transmission x-ray computed tomography (CT).  ...  Michael Lell for providing the images in Section: "Clinical CT".  ... 
doi:10.1016/j.ejmp.2012.01.003 pmid:22316498 fatcat:hfeovdxfpbfyxbuxo6ufs2bcfa

FL-MISR: Fast Large-Scale Multi-Image Super-Resolution for Computed Tomography Based on Multi-GPU Acceleration [article]

Kaicong Sun, Trung-Hieu Tran, Jajnabalkya Guhathakurta, Sven Simon
2021 arXiv   pre-print
The SR reconstruction is performed on the fly during the CT acquisition such that no additional computation time is introduced.  ...  In this work, we propose a distributed optimization framework based on data parallelism for fast large-scale MISR using multi-GPU acceleration named FL-MISR.  ...  Based on the analysis above, we evaluate FL-MISR on the CT images quantitatively and qualitatively.  ... 
arXiv:2108.04315v2 fatcat:rsibehfiezehxjawmq77y3gjoi

Iterative Reconstruction from Few-view Projections

Liubov Flores, Vicent Vidal, Gumersindo Verdú
2015 Procedia Computer Science  
In the medical imaging field, iterative methods have become a hot topic of research due to their capacity to resolve the reconstruction problem from a limited number of projections.  ...  Time of the reconstruction and high radiation dose imposed on patients are two major drawbacks in computed tomography.  ...  Multi GPU implementation of tomography reconstruction accelerates reconstruction of images 350x350x9 up to 67 seconds on a single GPU and 32 seconds on four GPUs (Jang, Kaeli, Do, & Pien, 2009) .  ... 
doi:10.1016/j.procs.2015.05.188 fatcat:dlf6me7jzbaxroruuw6wuxas3i

CT Image Reconstruction Based on GPUs

Liubov A. Flores, Vicent Vidal, Patricia Mayo, Francisco Rodenas, Gumersindo Verdú
2013 Procedia Computer Science  
It is the goal of this work to develop a fast GPU-based algorithm to reconstruct high quality images from under sampled and noisy projection data.  ...  In X-ray computed tomography (CT) iterative methods are more suitable for the reconstruction of images with high contrast and precision in noisy conditions and from a small number of projections.  ...  We are also grateful to the Alicante University for allowing testing our algorithms on Euler cluster system. References  ... 
doi:10.1016/j.procs.2013.05.308 fatcat:zoqcqres7fg2hmp6mojqx2g2a4

Multi-GPU Acceleration of Branchless Distance Driven Projection and Backprojection for Clinical Helical CT

Ayan Mitra, David G. Politte, Bruce R. Whiting, Jeffrey F. Williamson, Joseph A. O'Sullivan
2017 Journal of Imaging Science and Technology  
Model-based image reconstruction (MBIR) techniques have the potential to generate high quality images from noisy measurements and a small number of projections which can reduce the x-ray dose in patients  ...  One of the widely used projectors for these modern MBIR based technique is called branchless distance driven (DD) projection and backprojection.  ...  Model-based image reconstruction algorithms are typically iterative: the next image is computed based on the current image, a measure of error between the measured data and the data predicted from the  ... 
doi:10.2352/j.imagingsci.technol.2017.61.1.010405 pmid:28572719 pmcid:PMC5448423 fatcat:x2vffmp6bze25nyuoyqejyhw5i

Accelerating regularized iterative ct reconstruction on commodity graphics hardware (GPU)

Wei Xu, Klaus Mueller
2009 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
In this paper we focus on the particularities associated with the GPU acceleration of these.  ...  Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise.  ...  CONCLUSIONS We have shown that benchmark-based parameter selection in GPU-accelerated iterative reconstruction can make iterative reconstruction with OS-SIRT a good option for CT for noisy and/or few-view  ... 
doi:10.1109/isbi.2009.5193298 dblp:conf/isbi/XuM09 fatcat:55lxolgsufb6fn5dog7gjbi2su

3D Alternating Direction TV-Based Cone-Beam CT Reconstruction with Efficient GPU Implementation

Ailong Cai, Linyuan Wang, Hanming Zhang, Bin Yan, Lei Li, Xiaoqi Xi, Min Guan, Jianxin Li
2014 Computational and Mathematical Methods in Medicine  
In the first place, an algorithm based on alternating direction total variation using local linearization and proximity technique is proposed for CBCT reconstruction.  ...  The iteration for this algorithm is simple but convergent. The simulation and real CT data reconstruction results indicate that the proposed algorithm is both fast and accurate.  ...  This paper has proposed a GPU based alternating direction reconstruction method for cone-beam CT imaging.  ... 
doi:10.1155/2014/982695 pmid:25045400 pmcid:PMC4089849 fatcat:q3aooknkszhnjkmicbjioqwada

Fast GPU-based Monte Carlo code for SPECT/CT reconstructions generates improved 177Lu images

T. Rydén, J. Heydorn Lagerlöf, J. Hemmingsson, I. Marin, J. Svensson, M. Båth, P. Gjertsson, P. Bernhardt
2018 EJNMMI Physics  
Conclusion: The GPU-based MC code generated an MC-based SPECT/CT reconstruction within a few minutes, and reconstructed patient images of 177 Lu-DOTATATE treatments revealed clearly improved resolution  ...  With this number of emitted photons/voxel, the MC-based OSEM reconstruction with ten subsets was performed within 20 s/iteration. The images converged after around six iterations.  ...  The SARec code was run on GPUs with single precision, and this was shown to provide similar image quality results as those obtained with double precision used in GPU-based SPECT reconstruction with GEANT4  ... 
doi:10.1186/s40658-017-0201-8 pmid:29302810 pmcid:PMC5754277 fatcat:3qoxd464jbbwtd7c6mzngyjzqu

The Experimental Study on Geometric Calibration and Material Discrimination for In Vivo Dual-Energy CT Imaging

Gang Deng, Mianyi Chen, Peng He, Xing Wang, Xiaochuan Wu, Xiaodong Guo, Pengcheng Li, Biao Wei, Kang An, Xiaolin Zheng, Peng Feng
2019 BioMed Research International  
and GPU-based reconstruction toolbox to reconstruct high-quality CT images.  ...  The precision of material decomposition in post-reconstruction space depends on the quality of reconstructed CT images; we used the locally linear embedding (LLE) based online geometric calibration method  ...  Then we used GPU based ASTRA reconstruction toolbox to reconstruct the rat specimen CT images; one slice images with two energy ranges are shown in Figure 5 .  ... 
doi:10.1155/2019/7614589 pmid:31240223 pmcid:PMC6556280 fatcat:cyt5yt7zbvfltlmu6pjptrsi6q

Study of CT Images Processing with the Implementation of MLEM Algorithm using CUDA on NVIDIA'S GPU Framework

T. A. Valencia-Pérez, J. M. Hernández-López, E. Moreno-Barbosa, B. de Celis-Alonso
2020 Journal of Nuclear Physics Material Sciences Radiation and Applications  
In this paper a methodology to accelerate acquisition process for CT based on the Maximum Likelihood Estimation Method (MLEM) algorithm is presented.  ...  In medicine, the acquisition process in Computed Tomography Images (CT) is obtained by a reconstruction algorithm. The classical method for image reconstruction is the Filtered Back Projection (FBP).  ...  The method used by actual CT-scanners for image reconstruction is the Filtered Back Projection (FBP) one [5] , [6] , which is mathematically based on the Radon Transform (RT) [7] , [8] .  ... 
doi:10.15415/jnp.2020.72021 fatcat:gntbizldondinnpoc5r465yr4i

GPU-Based Acceleration for Interior Tomography

Rui Liu, Yan Luo, Hengyong Yu
2014 IEEE Access  
Our results show that the CS-based interior tomography is able to reconstruct excellent volumetric images with GPU acceleration in a few minutes.  ...  In this paper, a graphics processing unit (GPU)-based parallel computing technique is applied to accelerate the CS-based interior reconstruction for practical application in both fan-beam and cone-beam  ...  In section II, the CT imaging model is reviewed with a concise SART-type reconstruction framework and the STF method. In section III, the implementation details are given.  ... 
doi:10.1109/access.2014.2340372 fatcat:jiisolg4yzdk5jxgdgbs3kegm4

Efficient CT Image Reconstruction in a GPU Parallel Environment

2020 Tomography  
In this paper a methodology to accelerate tomographic image reconstruction based on maximum likelihood expectation maximization iterative algorithm and combined with the use of graphics processing units  ...  One of the goals of this work was to provide a fast, portable, simple, and cheap image reconstruction system, and our results support the statement that the goal was achieved.  ...  From it, 2 iterative tomographic reconstruction toolboxes based on GPUs were used, namely, the OS-SART algorithm that is used to solve reconstructions of the conical beam CT images using simultaneous algebraic  ... 
doi:10.18383/j.tom.2020.00011 pmid:32280749 pmcid:PMC7138519 fatcat:hdfsc5l2wfdkpbymxaqazek2hm
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