| 講演抄録/キーワード |
| 講演名 |
2009-01-21 09:50
[ポスター講演]Data Interpolation in PSFT MRI for Alias-less Image Reconstruction by using Iterative Signal Restoration Algorithm ○Yoshifumi Yamada・Satoshi Ito(Utsunomiya Univ.) MI2008-174 |
| 抄録 |
(和) |
The signal of the Phase Scrambling Fourier Transform (PSFT) imaging technique is given by the Fourier transform of the spin density multiplied by a quadratic phase term. The signal can be converted into the Fresnel transform signal by multiplying by an another quadratic phase term. Because the amplitudes of adjacent sampled Fresnel transform signals have a high interrelation, the signal amplitude at a point between sampled points can be estimated with a high degree of accuracy even if the sampling is coarse to generate aliases in the reconstructed images. Since the coarsely sampled Fresnel transform signal does not satisfy the Nyquist sampling condition, however, a small residual alias is contained in the reconstructed image. In this paper, a new alias-less image reconstruction technique in the PSFT imaging technique is presented in which the residual alias in the image is removed by increasing the data interpolation accuracy with using the modified Gerchberg’s iterative signal restoration algorithm which applies a priori constraints at the signal and image domain. Numerical simulation using MR images was carried out and simulation showed that almost alias-less images were reconstructed by using this technique. |
| (英) |
The signal of the Phase Scrambling Fourier Transform (PSFT) imaging technique is given by the Fourier transform of the spin density multiplied by a quadratic phase term. The signal can be converted into the Fresnel transform signal by multiplying by an another quadratic phase term. Because the amplitudes of adjacent sampled Fresnel transform signals have a high interrelation, the signal amplitude at a point between sampled points can be estimated with a high degree of accuracy even if the sampling is coarse to generate aliases in the reconstructed images. Since the coarsely sampled Fresnel transform signal does not satisfy the Nyquist sampling condition, however, a small residual alias is contained in the reconstructed image. In this paper, a new alias-less image reconstruction technique in the PSFT imaging technique is presented in which the residual alias in the image is removed by increasing the data interpolation accuracy with using the modified Gerchberg’s iterative signal restoration algorithm which applies a priori constraints at the signal and image domain. Numerical simulation using MR images was carried out and simulation showed that almost alias-less images were reconstructed by using this technique. |
| キーワード |
(和) |
位相拡散フーリエ映像法 / データ内挿法 / エイリアスレス映像再構成 / / / / / |
| (英) |
PSFT Imaging / Data interpolation / Alias-less image reconstruction / / / / / |
| 文献情報 |
信学技報, vol. 108, no. 385, MI2008-174, pp. 519-522, 2009年1月. |
| 資料番号 |
MI2008-174 |
| 発行日 |
2009-01-12 (MI) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
MI2008-174 |