A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections
EURASIP Journal on Advances in Signal Processing volume 2005, Article number: 620167 (2005)
The problem of detecting an anomaly/target from a very limited number of noisy tomographic projections is addressed from the statistical point of view. The imaged object is composed of an environment, considered as a nuisance parameter, with a possibly hidden anomaly/target. The GLR test is used to solve the problem. When the projection linearly depends on the nuisance parameters, the GLR test coincides with an optimal statistical invariant test.
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Fillatre, L., Nikiforov, I. A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections. EURASIP J. Adv. Signal Process. 2005, 620167 (2005). https://doi.org/10.1155/ASP.2005.2215