Koninklijke Philips Corporation N.V.

Nadav Hanan Shapira

Shlomo Gotman

Amiaz Altman

Yoad Yagil

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.

Creation of electron density datasets from spectral CT datasets

The invention relates to an image processing device () for processing diagnostic image data, comprising: a data input () for receiving vector-valued diagnostic image data and a quantification unit () 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 () for providing a dictionary that assigns an index to each unique identifier subset, and an image data encoder () 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. The device also comprises a data packager () for packing the encoded image in a diagnostic image format and for inserting the dictionary into metadata of that format. Further aspects relate to a decoding device, a system, corresponding methods for encoding and decoding and derived computer related products.

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Haifa, Israel

Nadav Hanan Shapira