Axially varying truncation completion for MR-based attenuation correction for PET/MR
AssigneeGeneral Electric Company
InventorsSonal Ambwani, Scott Wollenweber
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AssigneeGeneral Electric Company
InventorsSonal Ambwani, Scott Wollenweber
Estimating the term…
An apparatus and method for a PET/MR system having a PET scanner and an MR scanner. A patient may be advanced through the system in sequential stations, with multiple transverse slices defined within at least one of the stations in which each slice is offset a distance Δz from the station centerline. The method may comprise the steps of: defining a center and an annulus thereabout for each slice, wherein the annulus has an inner radius Reff and an outer radius Rout; conducting attenuation correction of the PET images using only MR data from the region within the inner radius, only PET data from the region outside the outer radius, and a combination of PET and MR data from the region of the annulus; and varying Reff as a function of Δz for selected slices within the station.
A method for attenuation correction in a PET/MR system having a PET scanner with a first diameter field of view DFOVPET and an MR scanner with a second diameter field of view DFOVMR, in which a patient may be advanced through the system in sequential stations, with multiple transverse slices defined within at least one of the stations in which each slice is offset an axial distance Δz from the station axial centerline, comprising the steps of:
A method for truncation completion of an MR-derived attenuation image in a PET/MR system having a PET scanner with a first diameter field of view DFOVPET and an MR scanner with a second diameter field of view DFOVMR, in which a patient may be advanced through the system in sequential stations, with multiple transverse slices defined within at least one of the stations in which each slice is offset an axial distance Δz from the station centerline, comprising the steps of:
A medical imaging system through which a subject of interest may be advanced in sequential stations, comprising:
Dependencies are inferred from the claim text.