US 2023/0069017 A1 · SYSTEMS AND METHODS FOR IMAGE RECONSTRUCTION

Abstract

The present disclosure is related to systems and methods for image reconstruction. The method may include obtaining at least one positron emission tomography (PET) image of a subject. The at least one PET image may be generated based on PET data acquired during an examination period. In the examination period, the subject may be injected with a tracer. The method may also include determining, based on the at least one PET image, an input function that reflects a concentration change of the tracer in the subject during the examination period. The method may further include generating a parametric image based on the input function and the at least one PET image according to a non-linear parametric estimation algorithm. The parametric image may reflect a kinetic parameter of the tracer in the subject.

Claims20

Dependent claims

A method implemented on a computing device having at least one processor and at least one storage device, the method comprising:

obtaining at least one positron emission tomography (PET) image of a subject, wherein the at least one PET image is generated based on PET data acquired during an examination period, wherein in the examination period, the subject is injected with a tracer;
determining, based on the at least one PET image, an input function that reflects a concentration change of the tracer in the subject during the examination period;
and
generating a parametric image based on the input function and the at least one PET image according to a non-linear parametric estimation algorithm, wherein the parametric image reflects a kinetic parameter of the tracer in the subject.

1 more element

A system, comprising:

at least one storage device storing executable instructions, and
at least one processor in communication with the at least one storage device, wherein when executing the executable instructions, the at least one processor causes the system to perform operations including:
obtaining at least one positron emission tomography (PET) image of a subject, wherein the at least one PET image is generated based on PET data acquired during an examination period, wherein in the examination period, the subject is injected with a tracer;
determining, based on the at least one PET image, an input function that reflects a concentration change of the tracer in the subject during the examination period;
and
generating a parametric image based on the input function and the at least one PET image according to a non-linear parametric estimation algorithm, wherein the parametric image reflects a kinetic parameter of the tracer in the subject.

3 more elements

A method implemented on a computing device having at least one processor and at least one storage device, the method comprising:

obtaining at least one positron emission tomography (PET) image of a subject, wherein the at least one PET image is generated based on PET data acquired during an examination period, wherein in the examination period, the subject is injected with a tracer, a multi-point scan or a dual injection scan is performed on the subject, and a total time of one or more scan periods of the multi-point scan or the dual injection scan is less than or equal to 10 minutes;
and
generating a parametric image based on the at least one PET image according to a non-linear parametric estimation algorithm, wherein the parametric image reflects a kinetic parameter of the tracer in the subject.

Dependencies are inferred from the claim text.

Systems and methods for image reconstruction

Life of this patent

Systems and methods for image reconstruction

Life of this patent

Abstract

Claims20