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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 order to improve the performance for iterative reconstruction, an efficient IIR algorithm for cone-beam computed tomography (CBCT) with GPU implementation has been proposed in this paper.  ...  In the first place, an algorithm based on alternating direction total variation using local linearization and proximity technique is proposed for CBCT reconstruction.  ...  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

GPU-Based Acceleration for Interior Tomography

Rui Liu, Yan Luo, Hengyong Yu
2014 IEEE Access  
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  ...  Our results show that the CS-based interior tomography is able to reconstruct excellent volumetric images with GPU acceleration in a few minutes.  ...  To reduce the radiation dose, we have implemented the CS-based interior reconstruction in GPU for fan-beam and cone-beam reconstruction in this paper.  ... 
doi:10.1109/access.2014.2340372 fatcat:jiisolg4yzdk5jxgdgbs3kegm4

Software Implementation of the Krylov Methods Based Reconstruction for the 3D Cone Beam CT Operator [article]

Vojtěch Kulvait
2021 arXiv   pre-print
Therefore Krylov subspace methods present an interesting option for the reconstruction of large 3D cone beam CT problems.  ...  On the example of the cone beam CT reconstruction of 3D Shepp-Logan phantom we show that the speed of convergence of the CGLS clearly outperforms PSIRT algorithm.  ...  Until circa 2010 the direct application of the Krylov subspace methods to the 3D cone-beam CT operator (CBCT), was very rare and the works regarding Krylov methods were solving just smaller 2D problems  ... 
arXiv:2110.13526v1 fatcat:ye7qasfwlbhlnbdxhdkzb2fsxe

GPU-based iterative cone-beam CT reconstruction using tight frame regularization

Xun Jia, Bin Dong, Yifei Lou, Steve B Jiang
2011 Physics in Medicine and Biology  
X-ray imaging dose from serial cone-beam CT (CBCT) scans raises a clinical concern in most image guided radiation therapy procedures.  ...  Our GPU implementation has achieved high computational efficiency and a CBCT image of resolution 512\times512\times70 can be reconstructed in ~5 min.  ...  We would like to thank NVIDIA for providing GPU cards for this project.  ... 
doi:10.1088/0031-9155/56/13/004 pmid:21628778 fatcat:6xmfsvys2fgs5b5fjnazbq7bty

Recent Advances in X-ray Cone-beam Computed Laminography

Neil S. O'Brien, Richard P. Boardman, Ian Sinclair, Thomas Blumensath
2016 Journal of X-Ray Science and Technology  
Traditionally, computed tomography uses scanning geometries with a single axis of rotation together with reconstruction algorithms specifically designed for this setup.  ...  These include so called X-ray computed laminography systems capable of imaging specimens with large lateral dimensions, or large aspect ratios, neither of which are well suited to conventional CT scanning  ...  [33] proposed an exact 3D cone-beam CT reconstruction method, in which the reconstruction is split into two parts, with an overall complexity of O(N 4 ).  ... 
doi:10.3233/xst-160581 pmid:27341626 fatcat:slpzg4ufzrd6romm2iy556fcfq

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  ...  However, most legacy CT systems lack capabilities to provide sufficient delivery of image-based diagnosis in this increasing subset of population.  ...  METHODS Analytical reconstruction algorithm In this paper, we apply the 3D-weighted cone-beam filtered back projection (CB-FBP) algorithm [33] , to analytically reconstruct the volumetric images.  ... 
pmid:29732460 pmcid:PMC5931393 fatcat:liym7atnandk7lztgipzqjcgwy

NeAT: Neural Adaptive Tomography [article]

Darius Rückert, Yuanhao Wang, Rui Li, Ramzi Idoughi, Wolfgang Heidrich
2022 arXiv   pre-print
3D reconstruction.  ...  Through a combination of neural features with an adaptive explicit representation, we achieve reconstruction times far superior to existing neural inverse rendering methods.  ...  Guangming Zang for helping with the scanning of the objects.  ... 
arXiv:2202.02171v1 fatcat:6ofeqltvszbuvelcscmnnoidva

GPU acceleration of a model-based iterative method for Digital Breast Tomosynthesis

R. Cavicchioli, J. Cheng Hu, E. Loli Piccolomini, E. Morotti, L. Zanni
2020 Scientific Reports  
The numerical results show that the proposed GPU-based MBIR method provides accurate reconstructions in a time suitable for clinical trials.  ...  We apply the proposed parallel approach on three different GPU boards, with computational performance comparable with that of the boards usually installed in commercial DBT systems.  ...  The SGP methods have been recently applied in low-sampled X-rays cone beam CT (CBCT) image reconstruction, with very good results in terms of image accuracy 13, 14, 20 .  ... 
doi:10.1038/s41598-019-56920-y pmid:31913333 fatcat:6qtfuwxjqrcl5jhi3ceimivll4

Accelerated Compressed Sensing Based CT Image Reconstruction

SayedMasoud Hashemi, Soosan Beheshti, Patrick R. Gill, Narinder S. Paul, Richard S. C. Cobbold
2015 Computational and Mathematical Methods in Medicine  
We propose a new algorithm that accelerates the CS-based reconstruction by using a fast pseudopolar Fourier based Radon transform and rebinning the diverging fan beams to parallel beams.  ...  For example, a 512 × 512 Shepp-Logan phantom when reconstructed from 128 rebinned projections using a conventional CS method had 10% error, whereas with the proposed method the reconstruction error was  ...  The 3D Radon transform of the object can be used in our proposed method along with 3D PPFT transform to reconstruct the cone beam images.  ... 
doi:10.1155/2015/161797 pmid:26167200 pmcid:PMC4489012 fatcat:nusdoqklnraq7auzl6lj4s4d6a

Front Matter: Volume 10132

2017 Medical Imaging 2017: Physics of Medical Imaging  
of channelized hotelling observers: effect of ROI size SESSION 4 CONE BEAM CT I: NEW TECHNOLOGIES AND CORRECTIONS 0H Task-driven orbit design and implementation on a robotic C-arm system for cone-beam  ...  CT 10132 0I Geometric calibration using line fiducials for cone-beam CT with general, non-circular source-detector trajectories 10132 0J Shading correction for cone-beam CT in radiotherapy: validation  ... 
doi:10.1117/12.2276763 fatcat:5vgmgqm4izfdrl6p4itkq6fsjm

EM+TV Based Reconstruction for Cone-Beam CT with Reduced Radiation [chapter]

Ming Yan, Jianwen Chen, Luminita A. Vese, John Villasenor, Alex Bui, Jason Cong
2011 Lecture Notes in Computer Science  
In addition, the EM+TV algorithm is accelerated with GPU multicore technology, and the high performance speed-up makes the EM+TV algorithm feasible for future practical CT systems.  ...  Numerical results show the efficiency of the EM+TV method in comparison to filtered backprojection and classic EM.  ...  GPU Implementation In this section, we consider a fast graphics processing unit (GPU)-based implementation of the computationally challenging EM+TV algorithm.  ... 
doi:10.1007/978-3-642-24028-7_1 fatcat:deupyy5ejbfqlcoiln7vo4cesy

PYRO-NN: Python Reconstruction Operators in Neural Networks [article]

Christopher Syben and Markus Michen and Bernhard Stimpel and Stephan Seitz and Stefan Ploner and Andreas K. Maier
2019 arXiv   pre-print
To demonstrate the capabilities of the layers, the framework comes with three baseline experiments showing a cone-beam short scan FDK reconstruction, a CT reconstruction filter learning setup, and a TV  ...  The current status includes state-of-the-art parallel-, fan- and cone-beam projectors and back-projectors accelerated with CUDA provided as Tensorflow layers.  ...  Furthermore, a 3D cone-beam forward projector based on projection matrices is implemented according to Galigekere et al. 28 .  ... 
arXiv:1904.13342v1 fatcat:wz3ly6gvpvbmvih76xdu5kmcyi

NeAT

Darius Rückert, Yuanhao Wang, Rui Li, Ramzi Idoughi, Wolfgang Heidrich
2022 ACM Transactions on Graphics  
3D reconstruction.  ...  Through a combination of neural features with an adaptive explicit representation, we achieve reconstruction times far superior to existing neural inverse rendering methods.  ...  The authors would like to thank Gilles Lubineau, Ran Tao, Hassan Mahmoud, and Guangming Zang for helping with the scanning of the objects.  ... 
doi:10.1145/3528223.3530121 fatcat:n3nuqzbv6narlibhzkb4ymrwwq

GPU-Based Branchless Distance-Driven Projection and Backprojection

Rui Liu, Lin Fu, Bruno De Man, Hengyong Yu
2017 IEEE Transactions on Computational Imaging  
In this paper, we implement and evaluate a highly parallel branchless DD algorithm for 3D cone beam CT.  ...  GPU based branchless DD method was evaluated by iterative reconstruction algorithms with both simulation and real datasets. It obtained visually identical images as the CPU reference algorithm.  ...  Acknowledgments The work was initally an internship project at the Image Reconstruction Lab at GE Global Research.  ... 
doi:10.1109/tci.2017.2675705 pmid:29333480 pmcid:PMC5761753 fatcat:jmwpobn5tjeedfi3t4pcj36huq

Accelerated fast iterative shrinkage thresholding algorithms for sparsity-regularized cone-beam CT image reconstruction

Qiaofeng Xu, Deshan Yang, Jun Tan, Alex Sawatzky, Mark A. Anastasio
2016 Medical Physics (Lancaster)  
INTRODUCTION X-ray cone-beam computed tomography (CBCT) employing a circular scanning geometry is a widely employed threedimensional (3D) imaging modality with numerous applications that include image-guided  ...  GPU implementations Highly efficient parallel implementations of the OSSF-TV and OSSF-TV-ℓ 1 algorithms that can utilize a single or multiple GPUs are presented in Appendix E. F. 2.  ... 
doi:10.1118/1.4942812 pmid:27036582 pmcid:PMC4808068 fatcat:ciy22nxhznfxxh7zxk6h4tt4wm
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