Ge Medical Systems Global Technology Company, LLC

Brian Grekowicz

Jiang Hsieh

Edward Henry Chao

Jean-Baptiste Thibault

Charles William Stearns

Sharon Xiaorong Wang

Scott McOlash

Albert Henry Roger Lonn

Amy Lynn Horst

A method includes calculating a sum of all samples at each projection view of a scan of an object, determining a maximum value of the calculated sums, averaging a plurality of samples m at a projection view index k when the sum of all samples at index k is less than a predetermined percentage of the maximum value, comparing the average to a threshold t, determining the projection truncated when the average is greater than t, and determining the projection not truncated when the average is not greater than t.

Methods and apparatus for truncation compensation

Some configurations of the present invention provide a method for reconstructing an image of an object of a computed tomographic imaging system having a detector array and a radiation source, wherein an arc of the detector array is not concentric to a focal spot of the radiation source. The method includes scanning the object with the computed tomographic imaging system to obtain a fan beam dataset, rebinning the fan beam dataset into a set of parallel datasets; and reconstructing an image utilizing the set of parallel datasets.

Methods and apparatus for artifact reduction in computed tomography imaging systems

A method includes scanning an object in a first modality having a first field of view to obtain first modality data including fully sampled field of view data and partially sampled field of view data. The method also includes scanning the object in a second modality having a second field of view larger than the first field of view of obtain second modality data, and reconstructing an image of the object using the second modality data and the first modality partially sampled field of view data.

Multi modality imaging methods and apparatus

A method and apparatus for performing image reconstruction using data obtained by an N beam helical scan, the method including generating projection data arrays for each of the N rows in a CT detector, weighting the data arrays using a unique weighting function that including different weighting functions for a first detector row, a last detector row and the middle detector rows between the first and last detector rows thereby generating helical weighted arrays for each row, applying a half scan weight to each helical weighted array and using the half scan weighted arrays to generate a slice image.

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Waukesha, WI, United States of America

Brian Grekowicz