# US 10,499,860 B2 · Systems and methods for positron emission tomography

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- Number: US 10,499,860 B2
- Document ID: US10499860B2
- Status: Granted
- Kind: B2
- Application number: 15/815,825
- Filed: 2017-11-17
- Published: 2019-05-02
- Granted: 2019-12-10
- Earliest claimed: 2017-10-30
- Assignees: Shanghai United Imaging Healthcare Co., Ltd.
- Applicants: Shanghai United Imaging Healthcare Co., Ltd.
- Inventors: Xiaoyue Gu; Shitao Liu; Weiping Liu; Yixing Sun
- Web page: https://patentgrep.com/patent/US10499860B2

## CPC

- A61B 6/037: {Emission tomography}
- G01T 1/2985: {In depth localisation, e.g. using positron emitters; Tomographic imaging (longitudinal and transverse section imaging; apparatus for radiation diagnosis sequentially in different planes, steroscopic radiation diagnosis); (using external radiation sources A61B6/02)}
- G06T 12/10: Image preprocessing, e.g. calibration, positioning of sources or scatter correction
- G06T 12/20: Inverse problem, i.e. transformations from projection space into object space
- A61B 5/0035: {adapted for acquisition of images from more than one imaging mode, e.g. combining MRI and optical tomography}
- A61B 6/032: {Transmission computed tomography [CT]}
- A61B 6/586: {Detection of faults or malfunction of the device}
- G01T 1/1648: {Ancillary equipment for scintillation cameras, e.g. reference markers, devices for removing motion artifacts, calibration devices (adapted for flow studies G01T1/1647)}
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G01T: MEASUREMENT OF NUCLEAR OR X-RADIATION (radiation analysis of materials, mass spectrometry G01N23/00; tubes for determining the presence, intensity, density or energy of radiation or particles H01J47/00)
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

## Abstract

The disclosure relates to a system and method for reconstructing a PET image. The method may include: obtaining PET data relating to an object collected by a plurality of detector units; determining functional status of the plurality of detector units; generating reconstruction data based on the functional status of the respective detector units and the PET data; and reconstructing a PET image based on the reconstruction data.

## Claims

### Claim 1

A method implemented on at least one device each of which has at least one processor and storage, the method comprising:
obtaining scan data relating to an object collected by a plurality of detector units;
determining functional status of the plurality of detector units;
dividing the plurality of detector units into a first group and a second group based on the functional status of the respective detector units, wherein the functional status of the detector units in the first group is functional, and the functional status of the detector units in the second group is non-functional;
generating reconstruction data based on the scan data collected by the detector units in the first group; and
reconstructing an image based on the reconstruction data.

### Claim 2 (depends on 1)

The method of claim 1, wherein a detector unit of the plurality of detector units includes one or more PET detector rings.

### Claim 3 (depends on 1)

The method of claim 1, wherein the reconstruction data includes a portion of the scan data that is collected by a first detector unit and a second detector unit of the plurality of detector units, a unit difference between the first detector unit and the second detector unit is less than a threshold.

### Claim 4 (depends on 3)

The method of claim 3, wherein the unit difference represents an axial distance between the first detector unit and the second detector unit.

### Claim 5 (depends on 1)

The method of claim 1, wherein determining functional status of a detector unit is determined based on a counting rate of the detector unit.

### Claim 6 (depends on 1)

The method of claim 1, wherein the detector units in the first group are located side by side.

### Claim 7 (depends on 1)

The method of claim 1, wherein the generating reconstruction data based on the functional status of the respective detector units and the scan data comprises:
dividing the detector units in the first group into more than one subgroup, wherein the detector units in each of the more than one subgroup are located side by side, and
generating the reconstruction data based on the scan data collected by the detector units in a subgroup of the more than one subgroup with the largest number of detector units.

### Claim 8 (depends on 1)

The method of claim 1, wherein a detector unit of the plurality of detector units includes a plurality of detector subunits, and the determining functional status of the respective detector units further comprises:
for each detector unit of the plurality of detector units,
determining functional status of the respective detector subunits of a detector unit; and
determining functional status of the detector unit based on the functional status of the plurality of detector subunits of the detector unit.

### Claim 9

A system, comprising:
at least one storage medium including a set of instructions; and
at least one processor configured to communicate with the at least one storage medium, wherein when executing the set of instructions, the system is configured to:
obtain scan data relating to an object collected by a plurality of detector units;
determine functional status of the plurality of detector units;
divide the plurality of detector units into a first group and a second group based on the functional status of the respective detector units, wherein the functional status of the detector units in the first group is functional, and the functional status of the detector units in the second group is non-functional;
generate reconstruction data based on the scan data collected by the detector units in the first group; and
reconstruct an image based on the reconstruction data.

### Claim 10 (depends on 9)

The system of claim 9, wherein determining functional status of a detector unit is determined based on a counting rate of the detector unit.

### Claim 11 (depends on 9)

The system of claim 9, wherein a detector unit of the plurality of detector units includes one or more PET detector rings.

### Claim 12 (depends on 9)

The system of claim 9, wherein the reconstruction data includes a portion of the scan data that is collected by a first detector unit and a second detector unit of the plurality of detector units, a unit difference between the first detector unit and the second detector unit is less than a threshold.

### Claim 13 (depends on 12)

The system of claim 12, wherein the unit difference represents an axial distance between the first detector unit and the second detector unit.

### Claim 14 (depends on 9)

The system of claim 9, wherein a detector unit of the plurality of detector units includes a plurality of detector rings, and the determining functional status of the respective detector units further comprises:
for each detector unit of the plurality of detector units,
determining functional status of the respective detector subunits of a detector unit; and
determining functional status of the detector unit based on the functional status of the plurality of detector subunits of the detector unit.

### Claim 15 (depends on 9)

The system of claim 9, wherein the detector units in the first group are located side by side.

### Claim 16 (depends on 9)

The system of claim 9, wherein to generate reconstruction data based on the functional status of the respective detector unit and the scan data comprises:
dividing the detector units in the first group into more than one subgroup, wherein the detector units in each of the more than one subgroup are located side by side, and
generating the reconstruction data based on the scan data collected by the detector units in a subgroup of the more than one subgroup with the largest number of detector units.

### Claim 17

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:
obtaining scan data relating to an object collected by a plurality of detector units;
determining functional status of the plurality of detector units;
dividing the plurality of detector units into a first group and a second group based on the functional status of the respective detector units, wherein the functional status of the detector units in the first group is functional, and the functional status of the detector units in the second group is non-functional;
generating reconstruction data based on the scan data collected by the detector units in the first group; and
reconstructing an image based on the reconstruction data.