Reconstruction of Free Fall Particle CT Images Using the Generalized Vector Sampled Pattern Matching Method

• TAKEI Masahiro

  Department of Mechanical Engineering, Nihon University

• OCHI Mitsuaki

  Department of Mechanical Engineering, Nihon University

• SAITO Yoshifuru

  Department of Art and Technology, Hosei University

• HORII Kiyoshi

  Shirayuri College

Abstract

A new reconstruction method, which is called Generalized Vector Sampled Pattern Matching (GVSPM) method, has been applied to an ill-posed inverse problem of a capacitance-computed tomography for solid air two-phase flow. In pseudo two-phase flow images, the correlation of the reconstructed images by GVSPM is higher than those by a conventional Newton Raphson (NR) iterative method by 32.5%. Moreover, in solid air two-phase flow images, the deviation between the particles volume fraction by experimental capacitance and that by the reconstruction methods is calculated. As a result, the volume fraction deviation of GVSPM reconstructed image is lower than that of NR by 56.7%. Also, the time-mean correlation between the experimental capacitance and the capacitances from the reconstruction method is calculated. As a result, GVSPM method improves the correlation by 23.6%as compared with NR method. The accurate reconstruction of GVSPM results from an inner product calculation between the experimental capacitance and the capacitance from the reconstructed images as an objective function.

Journal

• JSME International Journal Series B

  JSME International Journal Series B 47 (2), 369-377, 2004

  The Japan Society of Mechanical Engineers

Keywords

• Computed Tomography
• Image Reconstruction
• Generalized Sampled Pattern Matching Method
• Ill Posed Inverse Problem

Details

• CRID: 1390001204674789760
• NII Article ID: 110004826626
• NII Article ID: 30002106025
• NII Book ID: AA10888815
• DOI: 10.1299/jsmeb.47.369
• ISSN: 13475371
• ISSN: 13408054
• NDL BIB ID: 6940027
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I6940027
• Web Site: http://www.jstage.jst.go.jp/article/jsmeb/47/2/47_2_369/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed