05600504

j

05600504 Ladisa, M. Lamura, A. Laudadio, T. Classification of crystallographic data using canonical correlation analysis. EURASIP J. Adv. Signal Process. 2007, Article ID 19260, 8 p. (2007). 2007 Springer International Publishing, Basel EN

doi:10.1155/2007/19260

Summary: A reliable and automatic method is applied to crystallographic data for tissue typing. The technique is based on canonical correlation analysis, a statistical method which makes use of the spectral-spatial information characterizing X-ray diffraction data measured from bone samples with implanted tissues. The performance has been compared with a standard crystallographic technique in terms of accuracy and automation. The proposed approach is able to provide reliable tissue classification with a direct tissue visualization without requiring any user interaction.