https://scholars.lib.ntu.edu.tw/handle/123456789/325455
標題: | Reduce Encoding of Diffusion Spectrum Imaging with Cross-Term Correction | 作者: | Kuan-Hung Cho Chun-Hung Yeh Yi-Ping Chao JYH-HORNG CHEN Ching-Po Lin WEN-YIH TSENG |
關鍵字: | Anisotropic magnetoresistance; Biomedical imaging; Brain modeling; Encoding; Image coding; Imaging phantoms; Magnetic resonance imaging; Probability density function; Protons; Rats | 公開日期: | 一月-2006 | 來源出版物: | 14th ISMRM Annual Meeting | 摘要: | Diffusion Spectrum MRI (DSI) has been demonstrated to be capable of defining orientations of intersecting fibers accurately. However, the scanning procedure is overly time-consuming under the current sampling scheme. We developed a reduced encoding scheme of DSI and proved that decreasing the acquisition points to 62% is feasible by diffusion cross-term correction. We calculated the diffusion cross-term from the acquired data in the center of q space by assuming that image corresponding to any diffusion encoding direction suffers b values from diffusion gradients, imaging gradients and the cross-term between diffusion gradients and imaging gradients. The data in outer q space was then corrected with diffusion cross-term and filled by the data acquired with opposite diffusion gradients according to the geometric symmetry of diffusion anisotropy. Both ex-vivo crossing capillaries phantom and ex-vivo rat brain models showed that this method can decrease DSI acquisition time while preserving the patterns and orientations of probability density function. © 2003 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-42649117856&doi=10.1109%2fCNE.2003.1196888&partnerID=40&md5=ef7aa943ded0659d6a004f5d62a2cb95 | DOI: | 10.1109/CNE.2003.1196888 | SDG/關鍵字: | Anisotropy; Brain models; Diffusion; Encoding (symbols); Enhanced magnetoresistance; Image coding; Magnetic resonance imaging; Medical imaging; Protons; Rating; Biomedical imaging; Current samplings; Diffusion anisotropy; Diffusion gradients; Diffusion spectra; Diffusion spectrum imaging; Geometric symmetry; Imaging phantoms; Probability density function |
顯示於: | 電機工程學系 |
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