US 11,238,625 B2Granted

Imaging system extended field-of-view

AssigneeKoninklijke Philips N.V.

InventorKevin Martin Brown

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Abstract

An imaging system includes a rotating gantry with a bore, and an X-ray radiation source supported by the rotating gantry, which rotates around the bore and emit X-ray radiation that traverses at least a portion of the bore. A detector array supported by the rotating gantry, located opposite the X-ray radiation source, detects the X-ray radiation having traversed an object located within the bore and generate projection data indicative of the detected X-ray radiation, wherein the projection data comprises a sinogram. A processor estimates a portion of the object truncated in the sinogram by fitting a curve to data sampled from a plurality of views of the object in the sinogram adjacent to a set of truncated views of the object in the sinogram, and reconstructs an image of the object based on the estimated portion of the object truncated and the generated projection data.

Claims14

Dependent claims

An imaging system, comprising:

a rotating gantry with a bore;
an X-ray radiation source supported by the rotating gantry, and configured to rotate around the bore and emit X-ray radiation that traverses at least a portion of the bore;
a detector array supported by the rotating gantry, located opposite the X-ray radiation source, and configured to detect the X-ray radiation having traversed an object located within the bore and generate projection data indicative of the detected X-ray radiation, wherein the projection data comprises a sinogram;
and
at least one processor configured to:
estimate a portion of the object truncated in the sinogram by:
determining a plurality of views as comprising at least one sampled edge, wherein the at least one sampled edge comprises a leading edge of the object and a trailing edge of the object adjacent a set of truncated views, wherein the leading edge and the trailing edge comprise detector positions and view identifiers;
fitting a first sinusoid curve to the leading edge of the object;
fitting a second sinusoid curve to the trailing edge of the object;
and
interpolating between the first sinusoid curve and the second sinusoid curve, to fit a curve to the leading edge and the trailing edge;
and
reconstruct an image of the object based on the estimated portion of the object truncated and the generated projection data.

10 more elements

A non-transitory computer-readable storage medium having one or more executable instructions stored thereon which, when executed by at least one processor, cause the at least one processor to perform an imaging method, the imaging method comprising:

receiving a sinogram of an object generated by a detector array;
estimating a portion of the object truncated in the sinogram by:
determining a plurality of views as comprising at least one sampled edge, wherein the at least one sampled edge comprises a leading edge of the object and a trailing edge of the object adjacent a set of truncated views, wherein the leading edge and the trailing edge comprise detector positions and view identifiers;
fitting a first sinusoid curve to the leading edge of the object;
fitting a second sinusoid curve to the trailing edge of the object;
and
interpolating between the first sinusoid curve and the second sinusoid curve, to fit a curve to the leading edge and the trailing edge;
and
reconstructing an image of the object based on the estimated portion of the object truncated and the sinogram.

6 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/637,947Filed 8 Aug 2018 · us provisional application
Priority: 15 Aug 2017
Published: US 2020/0175730 A14 Jun 2020
Granted: 1 Feb 2022
Term ends: Not estimatedThe source records don’t support an estimate.

Classification6 codes

G06T 12/00
Tomographic reconstruction from projections
G06T 12/10
Tomographic reconstruction from projections: image preprocessing, e.g. calibration, positioning of sources or scatter correction
A61B 6/035
Transmission computed tomography [CT]: mechanical aspects of CT
G06T 2211/432
Computed tomography: truncation