| Autor: |
Fatnassi C., Boucenna R., Zaidi H. |
| Rok vydání: |
2014 |
| Zdroj: |
IFMBE Proceedings |
| DOI: |
10.1007/978-3-319-19387-8_27 |
| Popis: |
© Springer International Publishing Switzerland 2015. T2 plays an important role in the quantitative evaluation of brain function and tissue iron content. Conventional approaches for quantitative T2 maps generation use linear or nonlinear least square curve fitting. Nevertheless these methods are very time consuming and could not be used in real time T2 computation. Hagberg et al (2002) proposed a numerical method that relies on trapezoidal integration of signal decay. This method is faster than conventional methods and provides an accurate T2 value. However this approach is valid for small echo spacing and low noise level. In this work we propose an alternative numerical integration relying on Simpson’s rule that generates an accurate T2 maps even in the presence of large echo spacing and high noise value. The proposed method yields T2 values comparable to NumART2 in the presence of small echo spacing and high SNR and provides better results in the opposite case. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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