Koninklijke Philips Corporation N.v.

Philips Medical Systems Technologies Ltd.

Yoav Bar

Gilad Shechter

Asher Gringauz

Guy A Lavi

Andre Feldman

Asher Gringaus

Opher Zahavi

Projection data () acquired during a tomographic examination of a periodically moving object is used to reconstruct a plurality of image layers (). The image layers () are combined to generate image data at a desired phase of motion. To generate a weighting function used to combine the image layers, a reference weighting function () is generated at the desired phase. The image layers () are weighted to approximate the first weighting function (). The number of image layers and the size of a sub-region of interest are advantageously selected so that the various image layers can be stored in a relatively high speed memory portion of a computer.

Dynamic computed tomography imaging

A method for artifact reduction in CT images comprising reconstructing a first data image using an inexact reconstruction algorithm, segmenting the first data image to provide a second image with high attenuation objects separate from low attenuation objects, reprojecting the second image to form a second set of data, reconstructing a third image from the second data set using an inexact reconstruction algorithm; and subtracting at least those portions of the third image outside the high attenuation object from the first image.

CT image reconstruction

A method of enhancing a medical image including identifying at least one physical characteristic of a tissue portion based on a characteristic of a portion of the image and applying an image processing technique to the image portion chosen based on the at least one tissue characteristic.

Adaptive filtering

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Haifa, Israel

Yoav Bar