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Signal-to-noise ratio assessment of muscle diffusion tensor imaging using single image set and validation by the difference image method

Standard

Signal-to-noise ratio assessment of muscle diffusion tensor imaging using single image set and validation by the difference image method. / Wang, Zhiyue J; Yamamura, Jin; Keller, Sarah.

in: BRIT J RADIOL, Jahrgang 92, Nr. 1102, 10.2019, S. 20190133.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Wang, ZJ, Yamamura, J & Keller, S 2019, 'Signal-to-noise ratio assessment of muscle diffusion tensor imaging using single image set and validation by the difference image method', BRIT J RADIOL, Jg. 92, Nr. 1102, S. 20190133. https://doi.org/10.1259/bjr.20190133

APA

Wang, Z. J., Yamamura, J., & Keller, S. (2019). Signal-to-noise ratio assessment of muscle diffusion tensor imaging using single image set and validation by the difference image method. BRIT J RADIOL, 92(1102), 20190133. https://doi.org/10.1259/bjr.20190133

Vancouver

Wang ZJ, Yamamura J, Keller S. Signal-to-noise ratio assessment of muscle diffusion tensor imaging using single image set and validation by the difference image method. BRIT J RADIOL. 2019 Okt;92(1102):20190133. https://doi.org/10.1259/bjr.20190133

Bibtex

@article{f6e0f91499d243609eb92e4802f85a78,
title = "Signal-to-noise ratio assessment of muscle diffusion tensor imaging using single image set and validation by the difference image method",
abstract = "OBJECTIVE: Signal-to-noise ratio (SNR) assessment is essential for accurate quantification of diffusion tensor imaging (DTI) metrics and usually requires the use of a difference image method using duplicate images. We aimed to estimate the SNR of DTI of thigh muscles using a single image set without duplicate images.METHODS: DTI of one thigh were acquired on a 3 T scanner from 15 healthy adults, and scans with number of signal averages (NSA) = 4 and 8 were repeatedly acquired. SNR were evaluated for six thigh muscles. For SNR calculation from a single image set, diffusion-weighted images with similar diffusion encoding directions were grouped into pairs. The difference image of each pair was high-pass filtered in k-space to yield noise images. Noise images were also calculated with a difference method using two image sets as a reference. Subjects were divided into two groups for filter optimization and validation, respectively. The coefficient of repeatability (CR) of the SNR obtained from the two methods was also evaluated separately.RESULTS: Bland-Altman analysis comparing the single image set method and the reference showed 95% limits of agreement of -9.2 to 9.2% for the optimization group and -12.5 to 12.6% for the validation group. The SNR measurement had a CR of 21.1% using the reference method, and 13.8% using the single image set method.CONCLUSION: The single image method can be used for DTI SNR assessment and offers better repeatability.ADVANCES IN KNOWLEDGE: SNR of skeletal muscle DTI can be assessed for any data set without duplicate images.",
keywords = "Adult, Anisotropy, Diffusion Tensor Imaging/methods, Female, Healthy Volunteers, Humans, Male, Muscle, Skeletal/diagnostic imaging, Reproducibility of Results, Signal-To-Noise Ratio, Thigh/diagnostic imaging",
author = "Wang, {Zhiyue J} and Jin Yamamura and Sarah Keller",
year = "2019",
month = oct,
doi = "10.1259/bjr.20190133",
language = "English",
volume = "92",
pages = "20190133",
journal = "BRIT J RADIOL",
issn = "0007-1285",
publisher = "British Institute of Radiology",
number = "1102",

}

RIS

TY - JOUR

T1 - Signal-to-noise ratio assessment of muscle diffusion tensor imaging using single image set and validation by the difference image method

AU - Wang, Zhiyue J

AU - Yamamura, Jin

AU - Keller, Sarah

PY - 2019/10

Y1 - 2019/10

N2 - OBJECTIVE: Signal-to-noise ratio (SNR) assessment is essential for accurate quantification of diffusion tensor imaging (DTI) metrics and usually requires the use of a difference image method using duplicate images. We aimed to estimate the SNR of DTI of thigh muscles using a single image set without duplicate images.METHODS: DTI of one thigh were acquired on a 3 T scanner from 15 healthy adults, and scans with number of signal averages (NSA) = 4 and 8 were repeatedly acquired. SNR were evaluated for six thigh muscles. For SNR calculation from a single image set, diffusion-weighted images with similar diffusion encoding directions were grouped into pairs. The difference image of each pair was high-pass filtered in k-space to yield noise images. Noise images were also calculated with a difference method using two image sets as a reference. Subjects were divided into two groups for filter optimization and validation, respectively. The coefficient of repeatability (CR) of the SNR obtained from the two methods was also evaluated separately.RESULTS: Bland-Altman analysis comparing the single image set method and the reference showed 95% limits of agreement of -9.2 to 9.2% for the optimization group and -12.5 to 12.6% for the validation group. The SNR measurement had a CR of 21.1% using the reference method, and 13.8% using the single image set method.CONCLUSION: The single image method can be used for DTI SNR assessment and offers better repeatability.ADVANCES IN KNOWLEDGE: SNR of skeletal muscle DTI can be assessed for any data set without duplicate images.

AB - OBJECTIVE: Signal-to-noise ratio (SNR) assessment is essential for accurate quantification of diffusion tensor imaging (DTI) metrics and usually requires the use of a difference image method using duplicate images. We aimed to estimate the SNR of DTI of thigh muscles using a single image set without duplicate images.METHODS: DTI of one thigh were acquired on a 3 T scanner from 15 healthy adults, and scans with number of signal averages (NSA) = 4 and 8 were repeatedly acquired. SNR were evaluated for six thigh muscles. For SNR calculation from a single image set, diffusion-weighted images with similar diffusion encoding directions were grouped into pairs. The difference image of each pair was high-pass filtered in k-space to yield noise images. Noise images were also calculated with a difference method using two image sets as a reference. Subjects were divided into two groups for filter optimization and validation, respectively. The coefficient of repeatability (CR) of the SNR obtained from the two methods was also evaluated separately.RESULTS: Bland-Altman analysis comparing the single image set method and the reference showed 95% limits of agreement of -9.2 to 9.2% for the optimization group and -12.5 to 12.6% for the validation group. The SNR measurement had a CR of 21.1% using the reference method, and 13.8% using the single image set method.CONCLUSION: The single image method can be used for DTI SNR assessment and offers better repeatability.ADVANCES IN KNOWLEDGE: SNR of skeletal muscle DTI can be assessed for any data set without duplicate images.

KW - Adult

KW - Anisotropy

KW - Diffusion Tensor Imaging/methods

KW - Female

KW - Healthy Volunteers

KW - Humans

KW - Male

KW - Muscle, Skeletal/diagnostic imaging

KW - Reproducibility of Results

KW - Signal-To-Noise Ratio

KW - Thigh/diagnostic imaging

U2 - 10.1259/bjr.20190133

DO - 10.1259/bjr.20190133

M3 - SCORING: Journal article

C2 - 31322916

VL - 92

SP - 20190133

JO - BRIT J RADIOL

JF - BRIT J RADIOL

SN - 0007-1285

IS - 1102

ER -