This paper explores a microstructure-guided numerical framework that derives inputs from nanoindentation and synchrotron x-ray tomography towards the prediction of effective constitutive response of novel sustainable structural materials so as to enable microstructure-guided design.
The gray circles represent the actual measured activity in the ROI, the red circles the image-derived input function or the ex vivo-derived input function from whole blood samples, and corresponding lines represents the fitted input curves.
The errors in CBF due to these delay and dispersion factors may also reduce accuracy when obtaining image-derived input functions [20] because errors in both measured and image-derived input lead to differences in CBF values.
Blood sampler derived input function.
Input functions were derived using on-line arterial blood sampling (blood sampler derived input function (BSIF)).
AIF arterial sample-based input function, IDIF image-derived input function.
Image-derived input functions showed improved agreement with arterial measurements after a scale correction.
Image-derived input function was used to calculate K i for lymphoid tissues by Patlak plot.
Image-derived input function is an elegant and attractive noninvasive alternative to blood sampling [33, 34].
Factors that influence TEC were then identified and used to derive input parameters for the NN.
