PMID- 16279173
OWN - NLM
STAT- MEDLINE
DCOM- 20051207
LR  - 20191026
IS  - 1057-7149 (Print)
IS  - 1057-7149 (Linking)
VI  - 14
IP  - 11
DP  - 2005 Nov
TI  - The Rician inverse Gaussian distribution: a new model for non-Rayleigh signal 
      amplitude statistics.
PG  - 1722-35
AB  - In this paper, we introduce a new statistical distribution for modeling 
      non-Rayleigh amplitude statistics, which we have called the Rician inverse 
      Gaussian (RiIG) distribution. It is a mixture of the Rice distribution and the 
      inverse Gaussian distribution. The probability density function (pdf) is given in 
      closed form as a function of three parameters. This makes the pdf very flexible 
      in the sense that it may be fitted to a variety of shapes, ranging from the 
      Rayleigh-shaped pdf to a noncentral chi2-shaped pdf. The theoretical basis of the 
      new model is quite thoroughly discussed, and we also give two iterative 
      algorithms for estimating its parameters from data. Finally, we include some 
      modeling examples, where we have tested the ability of the distribution to 
      represent locale amplitude histograms of linear medical ultrasound data and 
      single-look synthetic aperture radar data. We compare the goodness of fit of the 
      RiIG model with that of the K model, and, in most cases, the new model turns out 
      as a better statistical model for the data. We also include a series of 
      log-likelihood tests to evaluate the predictive performance of the proposed 
      model.
FAU - Eltoft, Torbjorn
AU  - Eltoft T
AD  - Department of Physics, Faculty of Science, University of Tromso, Norway. 
      torbjorn.eltoft@phys.uit.no
LA  - eng
PT  - Journal Article
PL  - United States
TA  - IEEE Trans Image Process
JT  - IEEE transactions on image processing : a publication of the IEEE Signal 
      Processing Society
JID - 9886191
SB  - IM
MH  - *Algorithms
MH  - Artificial Intelligence
MH  - Computer Simulation
MH  - Image Enhancement/*methods
MH  - Image Interpretation, Computer-Assisted/*methods
MH  - Information Storage and Retrieval/methods
MH  - *Models, Statistical
MH  - Normal Distribution
MH  - Numerical Analysis, Computer-Assisted
MH  - *Signal Processing, Computer-Assisted
MH  - Stochastic Processes
MH  - Tomography, Optical Coherence/*methods
EDAT- 2005/11/11 09:00
MHDA- 2005/12/13 09:00
CRDT- 2005/11/11 09:00
PHST- 2005/11/11 09:00 [pubmed]
PHST- 2005/12/13 09:00 [medline]
PHST- 2005/11/11 09:00 [entrez]
AID - 10.1109/tip.2005.857281 [doi]
PST - ppublish
SO  - IEEE Trans Image Process. 2005 Nov;14(11):1722-35. doi: 10.1109/tip.2005.857281.