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Oliva, D.E.; Isoardi, R.A.; Mato, G. "Bayesian estimation of hyperparameters in MRI through the maximum evidence method" (2008) 21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008:129-136
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Abstract:

Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most probable parameters and hyperparameters for models that take into account discrete classes (DM) and models accounting for the partial volume effect (PVM). An approximate algorithm was developed for model optimization, since the exact image inference calculation is computationally expensive. The method was validated using simulated images and a digital phantom. We show that the Evidence is a very useful figure for error prediction, which is to be maximized respect to the hyperparameters. Additionally, it provides a tool to determine the most probable model given measured data. © 2008 IEEE.

Registro:

Documento: Conferencia
Título:Bayesian estimation of hyperparameters in MRI through the maximum evidence method
Autor:Oliva, D.E.; Isoardi, R.A.; Mato, G.
Ciudad:Campo Grande
Filiación:Facultad de Ciencias Exactas, Universidad de Buenos Aires, Argentina
Escuela de Medicina Nuclear, Mendoza, Argentina
Grupo de Física Estadística, Centro Atómico Bariloche, Argentina
Palabras clave:Bayesian networks; Color image processing; Computational geometry; Computer graphics; Digital image storage; Image enhancement; Image processing; Imaging systems; Magnetic resonance imaging; Parameter estimation; Resonance; And models; Approximate algorithms; Bayesian estimations; Bayesian inferences; Computationally expensive; Digital phantoms; Error predictions; Hyper parameters; Magnetic resonance images; Measured datums; Model optimizations; Partial volume effects; Simulated images; Inference engines
Año:2008
Página de inicio:129
Página de fin:136
DOI: http://dx.doi.org/10.1109/SIBGRAPI.2008.5
Título revista:21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008
Título revista abreviado:Proc. - Brazilian Symp. Comp. Graph. Image Process., SIBGRAPI
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97807695_v_n_p129_Oliva

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Citas:

---------- APA ----------
Oliva, D.E., Isoardi, R.A. & Mato, G. (2008) . Bayesian estimation of hyperparameters in MRI through the maximum evidence method. 21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008, 129-136.
http://dx.doi.org/10.1109/SIBGRAPI.2008.5
---------- CHICAGO ----------
Oliva, D.E., Isoardi, R.A., Mato, G. "Bayesian estimation of hyperparameters in MRI through the maximum evidence method" . 21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008 (2008) : 129-136.
http://dx.doi.org/10.1109/SIBGRAPI.2008.5
---------- MLA ----------
Oliva, D.E., Isoardi, R.A., Mato, G. "Bayesian estimation of hyperparameters in MRI through the maximum evidence method" . 21st Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2008, 2008, pp. 129-136.
http://dx.doi.org/10.1109/SIBGRAPI.2008.5
---------- VANCOUVER ----------
Oliva, D.E., Isoardi, R.A., Mato, G. Bayesian estimation of hyperparameters in MRI through the maximum evidence method. Proc. - Brazilian Symp. Comp. Graph. Image Process., SIBGRAPI. 2008:129-136.
http://dx.doi.org/10.1109/SIBGRAPI.2008.5