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Details van artikel 11 van 19 gevonden artikelen
| Titel: |
Model selection in magnetic resonance imaging |
| Auteur: |
Ensor, Katherine B. Ensor, Joe E. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 22 (1993) nr. 12 pagina's 3419-3434 |
| Jaar: |
1993 |
| Inhoud: |
Magnetic resonance imaging (MRI) is currently the most sensitive modality for detecting and differentiating pathophysiologic events. Transverse relaxation times (T2) provide quantitative information useful for evaluating a number of diseases. In MRI the observed T2 signal is modeled by [image omitted] where the reciprocal of αi is the corresponding expected transverse relaxation time. We consider estimation of the parameters [image omitted] under the assumption that the number of excited protons measured follows a Poisson distribution. Of primary interest is the number of termsk, in this nonlinear model. We propose a graphical method to distinguish between k = 1 and k = 2. Finally, the methods proposed are applied to MRI data from an in vivo study of female breast tissue. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 11 van 19 gevonden artikelen
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