Abstract
Image reconstruction is one of the key technologies of industrial computed tomography. Algebraic method has un-replaceable advantage when the data is incomplete or the noise effect is high because of data mining. However the use of algebraic method has been highly limited because of the low speed reconstruction. In this paper, a new iterative method (algorithm reconstruction technique) is introduced to accelerate the iteration process and increase the reconstruction speed. Besides, algebraic reconstruction method will be used more widely with the development of computer technology and increase of computer speed. Experiment results clearly demonstrate that algorithm reconstruction technique can efficiently improve quality of images reconstruction when processing the incomplete projection data or noisy projection data based on data mining.
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© 2005 Springer-Verlag Berlin Heidelberg
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Qu, Z., Wen, J., Yang, D., Xu, L., Wu, Y. (2005). ART in Image Reconstruction with Narrow Fan-Beam Based on Data Mining. In: Li, X., Wang, S., Dong, Z.Y. (eds) Advanced Data Mining and Applications. ADMA 2005. Lecture Notes in Computer Science(), vol 3584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527503_49
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DOI: https://doi.org/10.1007/11527503_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27894-8
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