Abstract: A method for converting spectral CT datasets into electron density datasets with applications in the fields of medical image formation or radiation treatment planning. The method comprises a preparation method that fits free parameters of a generalized electron density prediction model based on obtained electron density values such as data on tissue substitutes, and a conversion method using the fitted parameter prediction model and spectrally decomposed CT data as first and second inputs, respectively. The method is particularly useful in dual-energy CT and more specifically in dual layer detector CT systems.

Abstract: The invention relates to an image processing device (10) for processing diagnostic image data, comprising: a data input (11) for receiving vector-valued diagnostic image data and a quantification unit (12) for, for each pixel, determining a subset of identifiers, selected from a predetermined set of template identifiers, and determining for each identifier of the subset a quantification value indicative of a presence, proportion or significance in the pixel of a material or condition corresponding to the identifier. The device comprises a dictionary definition unit (14) for providing a dictionary that assigns an index to each unique identifier subset, and an image data encoder (16) for encoding the image data. The encoder is adapted for, for each pixel, calculating a bit sequence comprising a first set of bits encoding the index and further sets of bits encoding quantification values.

Abstract: A method for converting spectral CT datasets into electron density datasets with applications in the fields of medical image formation or radiation treatment planning. The method comprises a preparation method that fits free parameters of a generalized electron density prediction model based on obtained electron density values such as data on tissue substitutes, and a conversion method using the fitted parameter prediction model and spectrally decomposed CT data as first and second inputs, respectively. The method is particularly useful in dual-energy CT and more specifically in dual layer detector CT systems.

Abstract: The invention relates to an image processing device (10) for processing diagnostic image data, comprising: a data input (11) for receiving vector-valued diagnostic image data and a quantification unit (12) for, for each pixel, determining a subset of identifiers, selected from a predetermined set of template identifiers, and determining for each identifier of the subset a quantification value indicative of a presence, proportion or significance in the pixel of a material or condition corresponding to the identifier. The device comprises a dictionary definition unit (14) for providing a dictionary that assigns an index to each unique identifier subset, and an image data encoder (16) for encoding the image data. The encoder is adapted for, for each pixel, calculating a bit sequence comprising a first set of bits encoding the index and further sets of bits encoding quantification values.