Abstract: A component, in particular a structural component for a motor vehicle, is disclosed. The component has a basic body formed from a hot-formable steel, which is provided with a coating at least in one partial region. The coating has a first layer of aluminum-silicon and at least one second layer, where the first layer is arranged between the basic body and the second layer. The second layer is formed from zinc-cobalt or zinc-manganese or from manganese. A method for producing a component, in particular a structural component for a motor vehicle, is also disclosed.

Abstract: Methods and apparatus for obtaining probability density functions representing expected distributions of values of a parameter associated with an imaging modality are disclosed. The probability density functions are derived using data obtained from reference tissue volumes using the same imaging modality and at least one other type of imaging modality. The probability density functions are used to analyze data obtained from a volume of tissue of a patient in order to classify the tissue according to tissue type. Methods and apparatus are also disclosed in which deviations from a mean of an arctangent of ratios of first and second metabolite intensities in voxels are used to identify tissue types.

Abstract: Methods and apparatus for obtaining probability density functions representing expected distributions of values of a parameter associated with an imaging modality are disclosed. The probability density functions are derived using data obtained from reference tissue volumes using the same imaging modality and at least one other type of imaging modality. The probability density functions are used to analyse data obtained from a volume of tissue of a patient in order to classify the tissue according to tissue type. Methods and apparatus are also disclosed in which deviations from a mean of an arctangent of ratios of first and second metabolite intensities in voxels are used to identify tissue types.