https://scholars.lib.ntu.edu.tw/handle/123456789/426864
標題: | Toward quantitative fast diffusion kurtosis imaging with b-values chosen in consideration of signal-to-noise ratio and model fidelity: | 作者: | Kuo Y.-S Yang S.-C Chung H.-W Wu Wen-Chau HSIAO-WEN CHUNG |
公開日期: | 2018 | 出版社: | John Wiley and Sons Ltd. | 卷: | 45 | 期: | 2 | 起(迄)頁: | 605-612 | 來源出版物: | Medical Physics | 摘要: | Purpose: Diffusion kurtosis (DK) imaging is a variant of conventional diffusion magnetic resonance (MR) imaging that allows assessment of non-Gaussian diffusion. Fast DK imaging expedites the procedure by decreasing both scan time (acquiring the minimally required number of b-values) and computation time (obviating least-square curve fitting). This study aimed to investigate the applicability of fast DK imaging for both cerebral gray matter and white matter as a quantitative method. Methods: Seventeen healthy volunteers were recruited and each provided written informed consent before participation. On a 3-Tesla clinical MR system, diffusion imaging was performed with 12 b-values ranging from 0 to 4000 s/mm2. Diffusion encoding was along three orthogonal directions (slice selection, phase encoding, and frequency encoding) in separate series. Candidate b-values were chosen by first determining the maximum b-value (bmax) in the context of signal-to-noise ratio and then assessing the model fidelity for all b-value combinations within bmax. Diffusion coefficient (D) and diffusion kurtosis coefficient (K) were derived from these candidates and assessed for their dependence on b-value combination. Results: Our data suggested bmax to be 2200 s/mm2 as a trade-off between the percentage (~80%) of voxels statistically detectable against background and the sensitivity to non-Gaussian diffusion in both gray matter and white matter. The measurement dependence on b-value was observed predominantly in areas with a considerable amount of cerebrospinal fluid. In most gray matter and white matter, b-value combinations do not cause statistical difference in the calculated D and K. Conclusions: For fast DK imaging to be quantitatively applicable in both gray matter and white matter, bmax should be chosen to ensure adequate signal-to-noise ratio in the majority of gray/white matter and the two nonzero b-values should be chosen in consideration of model fidelity to mitigate the dependence of derived indices on b-values. ? 2017 The Authors. Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038916546&doi=10.1002%2fmp.12711&partnerID=40&md5=0f83cda0418aa179ed259ef66444403e https://scholars.lib.ntu.edu.tw/handle/123456789/426864 |
ISSN: | 0094-2405 | DOI: | 10.1002/mp.12711 | SDG/關鍵字: | Biomedical signal processing; Cerebrospinal fluid; Curve fitting; Diffusion; Economic and social effects; Encoding (symbols); Gaussian noise (electronic); Higher order statistics; Magnetic resonance imaging; Signal encoding; Gray matter; kurtosis; Kurtosis coefficient; Least Square Curve Fitting; Non-Gaussian diffusions; Orthogonal directions; Statistical differences; White matter; Signal to noise ratio; brain cortex; cerebrospinal fluid; clinical article; diffusion coefficient; female; gray matter; human; informed consent; male; maximum binding capacity; nuclear magnetic resonance imaging; quantitative analysis; signal noise ratio; volunteer; white matter; adult; diffusion; diffusion weighted imaging; image processing; middle aged; probability; procedures; Adult; Diffusion; Diffusion Magnetic Resonance Imaging; Female; Humans; Image Processing, Computer-Assisted; Male; Middle Aged; Probability; Signal-To-Noise Ratio |
顯示於: | 醫療器材與醫學影像研究所 |
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