Richard Aufrichtig - Mountain View CA Harrie Netel - Delafield WI Paul R. Granfors - Sunnyvale CA Gerhard Brunst - Sunnyvale CA
Assignee:
GE Medical Systems Global Technology Company, LLC - Waukesha WI
International Classification:
G01T 120
US Classification:
378 9811, 378 988, 378 989, 25037009
Abstract:
A method for minimizing motion artifacts in Dual Energy Subtraction digital radiographic imaging applications by minimizing the time lapse between the two x-ray exposure frames. This is accomplished by acquiring the two x-ray exposure frames relatively consecutively without a corresponding offset frame reading in-between the two x-ray frame exposures. Preferably, the offset frames are acquired following the x-ray exposure frames with a corresponding timing sequence which is correlated to the x-ray frame exposure and reading sequence. The method includes the steps of exposing a radiographic detector at a first energy level for a time period t ; reading the radiographic detector to obtain a first exposure reading; exposing the radiographic detector at a second energy level for a time period t ; reading the radiographic detector to obtain a second exposure reading; after a time period equal to t , reading the radiographic detector to obtain an offset reading; and subtracting the offset reading from the first and second exposure readings.
Panel Detector Pixel Replacement Method And Apparatus
Paul R. Granfors - Sunnyvale CA Gerhard H. Brunst - Sunnyvale CA
Assignee:
GE Medical Systems Global Technology Company, LLC - Waukesha WI
International Classification:
H05G 164
US Classification:
378 988, 378 982, 378 19, 378 62, 382275, 348246
Abstract:
A technique for generating replacement values for defective pixels in a digital imaging system includes generating a base values for the defective pixels and a statistical characterizing values which provide consistent statistical relationships with other pixels. The base values may be computed as mean values of pixels surrounding the defective pixels. The statistical characterizing values may be selected to provide deviation from the mean values by a standard deviation of other selected pixels, such as pixels in the neighborhoods of the defective pixels. The technique avoids image artifacts due to inconsistent noise or other statistical characteristics in the pixel replacement values.