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Abstract

Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging.


He Y, Wang L, Yang F, Xia Y, Clarysse P, Zhu Y

Ennis D.B., Perotti L.E., Wang V.Y. (eds) Functional Imaging and Modeling of the Heart. FIMH 2021. Lecture Notes in Computer Science, vol 12738. Springer, Cham. https://doi.org/10.1007/978-3-030-78710-3_20.

Abstract:

Diffusion tensor imaging (DTI) is a promising imaging technique to non-invasively study diffusion properties and fiber structures of myocardial tissues. Previous studies have investigated the influence of noise or angular resolution independently on the estimation of diffusion tensors in DTI. However, the joint influence of these two factors in DTI remains unclear. In this paper, we propose to systematically study the joint influence of angular resolutions and noise levels on the estimation of diffusion tensors and tensor-derived fractional anisotropy (FA) and mean diffusivity (MD). The results showed that, as expected, given a certain noise level and sufficient acquisition time, the accuracy of diffusion tensor, FA and MD all increase as the angular resolution. Moreover, when the angular resolution reached a certain value, further increasing the number of angular resolutions has little effect on the estimation of diffusion tensor, FA and MD. Also, both the mean and variance of FA or MD decrease as the angular resolution increases. For an imposed acquisition time, increasing the angular resolution reduces SNR of DW images. When fixing SNR, higher angular resolution can be obtained at the expense of longer acquisition time. These findings suggest the necessity of an optimized trade-off when designing DTI protocols.


He Y, Wang L, Yang F, Xia Y, Clarysse P, Zhu Y. Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging. 
Ennis D.B., Perotti L.E., Wang V.Y. (eds) Functional Imaging and Modeling of the Heart. FIMH 2021. Lecture Notes in Computer Science, vol 12738. Springer, Cham. https://doi.org/10.1007/978-3-030-78710-3_20.

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