Parallel Realizations of the Iterative Statistical Reconstruction Algorithm for 3D Computed Tomography
作者： Robert Cierniak , Jarosław Bilski , Jacek Smola̧g , Piotr Pluta , Nimit Shah
DOI: 10.1007/978-3-319-59063-9_42
关键词: Algorithm 、 Reconstruction algorithm 、 Spiral 、 Tomography 、 Realization (probability) 、 Tomographic reconstruction 、 Image processing 、 Iterative reconstruction 、 Ordered subset expectation maximization 、 Computer science
摘要: The presented paper describes a parallel realization of an approach to the reconstruction problem for 3D spiral x-ray tomography. is formulated taking into consideration statistical properties signals obtained by CT and analytical methodology image processing. concept shown here significantly accelerates calculations performed during iterative process in algorithm. Computer simulations have been which prove that algorithm described here, does indeed outperform conventional methods quality images obtained.
springer.com
sci-hub.st 参考文章(20)
Robert Cierniak, A three-dimentional neural network based approach to the image reconstruction from projections problem international conference on artificial intelligence and soft computing. pp. 505- 514 ,(2010) , 10.1007/978-3-642-13208-7_63
Robert Cierniak, A Novel Approach to Image Reconstruction from Discrete Projections Using Hopfield-Type Neural Network Artificial Intelligence and Soft Computing – ICAISC 2006. pp. 890- 898 ,(2006) , 10.1007/11785231_93
Robert Cierniak, A Novel Approach to Image Reconstruction Problem from Fan-Beam Projections Using Recurrent Neural Network Artificial Intelligence and Soft Computing – ICAISC 2008. pp. 752- 761 ,(2006) , 10.1007/978-3-540-69731-2_72
Zhou Yu, Jean-Baptiste Thibault, Charles A. Bouman, Ken D. Sauer, Jiang Hsieh, Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization IEEE Transactions on Image Processing. ,vol. 20, pp. 161- 175 ,(2011) , 10.1109/TIP.2010.2058811
Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman, Jiang Hsieh, A three-dimensional statistical approach to improved image quality for multislice helical CT. Medical Physics. ,vol. 34, pp. 4526- 4544 ,(2007) , 10.1118/1.2789499
Robert Cierniak, A 2D approach to tomographic image reconstruction using a Hopfield-type neural network Artificial Intelligence in Medicine. ,vol. 43, pp. 113- 125 ,(2008) , 10.1016/J.ARTMED.2008.03.003
Joseph Lin Chu, Adam Krzyźak, THE RECOGNITION OF PARTIALLY OCCLUDED OBJECTS WITH SUPPORT VECTOR MACHINES, CONVOLUTIONAL NEURAL NETWORKS AND DEEP BELIEF NETWORKS soft computing. ,vol. 4, pp. 5- 19 ,(2014) , 10.2478/JAISCR-2014-0021
Robert Cierniak, New neural network algorithm for image reconstruction from fan-beam projections Neurocomputing. ,vol. 72, pp. 3238- 3244 ,(2009) , 10.1016/J.NEUCOM.2009.02.005
Robert Cierniak, An analytical iterative statistical algorithm for image reconstruction from projections International Journal of Applied Mathematics and Computer Science. ,vol. 24, pp. 7- 17 ,(2014) , 10.2478/AMCS-2014-0001
Marc Kachelrieß, Michael Knaup, Willi A. Kalender, Extended parallel backprojection for standard three-dimensional and phase-correlated four-dimensional axial and spiral cone-beam CT with arbitrary pitch, arbitrary cone-angle, and 100% dose usage. Medical Physics. ,vol. 31, pp. 1623- 1641 ,(2004) , 10.1118/1.1755569