Automatic Magnetic Resonance Imaging,
Abstract
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 (Dumitresco et al, (1986)). In MRI the observed T2 signal is modeled by m(t) = Lambda (Sigma k j =1 Sigma j e - Alpha jt) where the reciprocal of Alpha j the corresponding expected relaxation time. We consider maximum likelihood estimation of the parameters Lambda, Sigma j, Alpha j, = 1,..., k under the assumption that the number of excited protons measured follows a Poisson distribution. A computationally simple method for selecting k, the number of exponential components in the model, is proposed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1992
- Accession Number
- ADP007219
Entities
People
- Joe E. Ensor
- Kathy Ensor
- Lalith Misra
Organizations
- Rice University