Commit ea8b0f35 authored by Vesa Oikonen's avatar Vesa Oikonen
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more on SIME

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---
title: Model fitting
author: Vesa Oikonen
updated_at: 2019-12-03
updated_at: 2021-06-07
created_at: 2014-01-23
tags:
- Modeling
......@@ -124,7 +124,8 @@ one or more common parameters, all of the parameters can in theory be estimated
(<a href="https://www.ncbi.nlm.nih.gov/pubmed/8046480">Raylman et al., 1994</a>;
<a href="https://doi.org/10.1109/42.640758">Huesman &amp; Coxson, 1997</a>).
However, the number of parameters to fit in SIME methods can be very large, and many usual
optimization methods do not work reliably.</p>
optimization methods do not work reliably. With modern computers, after extensive method refinement
and testing, however, reliable results can be obtained.</p>
<p>The <a href="./input_function.html">input function</a> can be assumed to be the same for all
regions, which is utilized in <a href="./input_mbif.html">model-based input function</a>
......@@ -135,6 +136,12 @@ of the input function, <a href="./model_cardiac_pvc.html">PVC</a>, and kinetic m
myocardial muscle, to the regional TACs of the myocardial muscle and cavity
(<a href="https://doi.org/10.2967/jnumed.107.047613">Fang &amp; Muzic, 2008</a>).</p>
<p>In compartmental models for brain receptor radioligands, a common assumption has been that
<em>K<sub>1</sub>/k<sub>2</sub></em> is the same in all grey matter regions. This can be directly
used in SIME
(<a href="https://doi.org/10.1016/j.neuroimage.2014.12.038">Ogden et al., 2015</a>;
<a href="https://doi.org/10.1016/j.neuroimage.2018.11.020">Plavén-Sigray et al., 2019</a>).</p>
<br>
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