2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) 2019
DOI: 10.1109/isbi.2019.8759482
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Colormaps Of Computed Tomography Liver Perfusion Parameters Achieved Using Different Computing Methods Match

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Cited by 1 publication
(3 citation statements)
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“…The fitting procedure of both vascular and tissue signals was carried out by adopting two widely used parametric models, the Lagged Normal (LN) [33] and the Gamma Variate (GV) [34] functions, respectively, similarly to what done in [23]. The fitting procedure was performed using the Interior Point [35], a constrained nonlinear optimization algorithm implemented in the fmincon function of Matlab © (MathWorks Inc, Natick, MA, USA).…”
Section: Models Of Vascular and Tissue Signalsmentioning
confidence: 99%
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“…The fitting procedure of both vascular and tissue signals was carried out by adopting two widely used parametric models, the Lagged Normal (LN) [33] and the Gamma Variate (GV) [34] functions, respectively, similarly to what done in [23]. The fitting procedure was performed using the Interior Point [35], a constrained nonlinear optimization algorithm implemented in the fmincon function of Matlab © (MathWorks Inc, Natick, MA, USA).…”
Section: Models Of Vascular and Tissue Signalsmentioning
confidence: 99%
“…However, under the MS approach C T A (t) and C T P (t) cannot be analytically separated. Commonly (as in [23]), they are approximated according to Eqs. 15 and 16 [42]:…”
Section: Maximum Slope (Ms)mentioning
confidence: 99%
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