System and method for detecting organ motion
AssigneeUih America, Inc.
InventorsTao Feng, Wentao Zhu, Hongdi Li
Life of this patent
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Abstract
A system and method of imaging a patient are provided. The system may include an acquisition configured to obtain a PET dataset relating to a target organ of a patient. The system may also include a processing module configured to determine a reference point of the target organ, divide the PET dataset into a plurality of data frames, and determine a motion signal of the target organ based on a plurality of first statistical parameters and a plurality of second statistical parameters. The processing module may further sort the PET dataset into a plurality of bins based on the motion signal.
Claims19
A method implemented on at least one device each of which has at least one processor and storage, the method comprising:
- acquiring an emission computed tomography (ECT) dataset relating to a target organ of a patient;
- determining a reference point of the target organ;
- dividing the ECT dataset into a plurality of data frames;
- determining a plurality of first statistical parameters about the reference point along a first direction, each of the plurality of first statistical parameters corresponding to one of the plurality of data frames;
- determining a plurality of second statistical parameters about the reference point along a second direction, each of the plurality of second statistical parameters corresponding to one of the plurality of data frames;
- obtaining a motion signal of the target organ based on the plurality of first statistical parameters and the plurality of second statistical parameters, wherein the motion signal corresponds to a maximum signal noise ratio relating to the target organ;
- sorting the ECT dataset into a plurality of bins based on the motion signal;
- and
- generating an image of the target organ by reconstructing the plurality of bins.
A system, comprising:
- an acquisition module configured to obtain an ECT dataset relating to a target organ of a patient;
- a processing module comprising:
- a reference point identifying unit configured to determine a reference point of the target organ;
- a pre-processing unit configured to divide the ECT dataset into a plurality of data frames, wherein at least one of the plurality of data frames relates to a volume of interest which includes a plurality of voxels;
- a motion identifying unit configured to determine a plurality of first statistical parameters about the reference point along a first direction, a plurality of second statistical parameters about the reference point along a second direction, and obtain a motion signal of the target organ based on the plurality of first statistical parameters and the plurality of second statistical parameters, each of the plurality of first statistical parameters corresponding to one of the plurality of data frames, and each of the plurality of second statistical parameters corresponding to one of the plurality of data frames, wherein the motion signal corresponds to a maximum signal noise ratio relating to the target organ;
- a gating unit configured to sort the ECT dataset into a plurality of bins based on the motion signal;
- and
- a reconstruction unit configured to generate an image of the target organ by reconstructing the plurality of bins.
A non-transitory computer readable medium storing instructions, the instructions, when executed by a computing device, causing the computing device to implement a method, comprising:
- acquiring an ECT dataset relating to a target organ of a patient;
- determining a reference point of the target organ;
- dividing the ECT dataset into a plurality of data frames, at least one of the plurality of data frames relating to a volume of interest which includes a plurality of voxels;
- for different directions, determining a plurality of statistical parameters of coincidence distribution of the plurality of voxels about the reference point;
- obtaining a motion signal of the organ based on the plurality of statistical parameters, wherein the motion signal corresponds to a maximum signal noise ratio relating to the target organ;
- sorting the ECT dataset into a plurality of bins based on the motion signal;
- and
- generating an image of the target organ by reconstructing the plurality of bins.
Dependencies are inferred from the claim text.