Presentation 2022-03-02
XMCD-CT Reconstruction Using Compressed Sensing
Tsukito Takizawa, Hayaru Shouno, Masaichiro Mizumaki, Motohiro Suzuki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Observation of the magnetic domain structure is important for understanding the magnetic properties of materials including practical magnetic materials, because the magnetic domain structure reflects the fundamental magnetic properties of materials. Suzuki et al. have developed a hard X-ray magnetic tomography method using X-ray magnetic circular dichroism (XMCD). By using XMCD measurements from many different sample angles, the magnetization distribution can be reconstructed using conventional CT reconstruction calculations. In addition, in recent years, research on measurement with a reduced number of directions, called sparse-view CT, has been vigorously conducted in order to reduce the radiation dose and measurement time, and compressed sensing has been considered to restore the signal from sparse projection data with strict or high accuracy. In this study, we apply a reconstruction method incorporating compressive sensing to the conventional CT reconstruction algorithm for XMCD data obtained by sparse-view CT in order to shorten the measurement time. It is suggested that the image reconstruction method incorporating compressive sensing is effective in reducing artifacts on sparse projection data obtained by reducing the number of projections for magnetic samples.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) XMCD / Computed Tomography / Image Reconstruction / Compressed Sensing
Paper # NC2021-58
Date of Issue 2022-02-23 (NC)

Conference Information
Committee MBE / NC
Conference Date 2022/3/2(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.)
Vice Chair Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo)
Secretary Junichi Hori(Osaka Electro-Communication Univ) / Hiroshi Yamakawa(ATR)
Assistant Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU)

Paper Information
Registration To Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) XMCD-CT Reconstruction Using Compressed Sensing
Sub Title (in English)
Keyword(1) XMCD
Keyword(2) Computed Tomography
Keyword(3) Image Reconstruction
Keyword(4) Compressed Sensing
1st Author's Name Tsukito Takizawa
1st Author's Affiliation The University of Electro-Communications(The Univ. of Electro-Communications)
2nd Author's Name Hayaru Shouno
2nd Author's Affiliation The University of Electro-Communications(The Univ. of Electro-Communications)
3rd Author's Name Masaichiro Mizumaki
3rd Author's Affiliation Japan Synchrotron Radiation Research Institute(JASRI)
4th Author's Name Motohiro Suzuki
4th Author's Affiliation Kwansei Gakuin University(Kwansei Gakuin Univ.)
Date 2022-03-02
Paper # NC2021-58
Volume (vol) vol.121
Number (no) NC-390
Page pp.pp.62-67(NC),
#Pages 6
Date of Issue 2022-02-23 (NC)