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Título:
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Use of the cross-correlation component of the multiscale structural similarity metric (R metric) for the evaluation of medical images
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Autores:
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Prieto, G. ;
Guibelalde, E. ;
Chevalier, M. ;
Turrero, Agustín
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Tipo de documento:
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texto impreso
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Editorial:
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American Association of Physicists in Medicine, 2011-08
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/restrictedAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Estadística aplicada
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Materia = Ciencias Biomédicas: Biología
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Tipo = Artículo
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Resumen:
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Purpose: The aim of the present work is to analyze the potential of the cross-correlation component of the multiscale structural similarity metric (R*) to predict human performance in detail detection tasks closely related with diagnostic x-ray images. To check the effectiveness of R, the authors have initially applied this metric to a contrast detail detection task. Methods: Threshold contrast visibility using the R* metric was determined for two sets of images of a contrast-detail phantom (CDMAM). Results from R and human observers were compared as far as the contrast threshold was concerned. A comparison between the R* metric and two algorithms currently used to evaluate CDMAM images was also performed. Results: Similar trends for the CDMAM detection task of human observers and R* were found in this study. Threshold contrast visibility values using R* are statistically indistinguishable from those obtained by human observers (F-test statistics: p > 0.05). Conclusions: These results using R* show that it could be used to mimic human observers for certain tasks, such as the determination of contrast detail curves in the presence of uniform random noise backgrounds. The R* metric could also outperform other metrics and algorithms currently used to evaluate CDMAM images and can automate this evaluation task.
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En línea:
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https://eprints.ucm.es/id/eprint/30855/1/Turrero04oficial.pdf
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