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US 7,454,044 B2Granted
Volume visualization using tissue mix
AssigneeKoninkklijke Philips Electronics, N.V.
InventorsRoel Truyen, Steven Lobregt, Iwo Willem Oscar Serlie
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AssigneeKoninkklijke Philips Electronics, N.V.
InventorsRoel Truyen, Steven Lobregt, Iwo Willem Oscar Serlie
Estimating the term…
A method is presented to calculate the relative contribution of different tissues, or tissue mix, to at least one data element in a medical object data set, the medical object data set containing data elements, the data elements assigning data values to respective positions in a multi-dimensional geometrical space containing more than one tissue, by means by which parameters are calculated for the at least one data element, the parameters being dependent on the data value of the at least one data element and data values of surrounding data elements in the neighborhood of the at least one data element, the parameters being further compared to combinations of said parameters for data elements occurring in the region of boundaries between tissues.
A method to calculate the relative contribution of different tissues to at least one data element in a medical object data set, the medical object data set containing data elements, the method comprising the acts of:
A computer readable medium embodying a computer program, the computer program when executed by a processor is configured to:
A workstation arranged to calculate the relative contribution of different tissues to at least one data element in a medical object data set, the medical object data set containing data elements, the data elements assigning data values to respective positions in a multi-dimensional geometrical space containing more than one tissue, wherein the workstation is further arranged to calculate parameters for the at least one data element, the parameters being dependent on the data value of the at least one data element and data values of surrounding data elements in the neighborhood of the at least one data element, the workstation being further arranged to compare the parameters to combinations of said parameters for data elements in the medical object data set which occur in the region of boundaries between tissues, and to combine the combinations of said parameters for the boundary data elements into a model which represents expected relationships between the parameters near the boundaries.
Dependencies are inferred from the claim text.