# US 2026/0090779 A1 · X-ray ct apparatus, medical image processing apparatus, method, and storage medium

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- Number: US 2026/0090779 A1
- Document ID: US20260090779A1
- Status: Published application
- Kind: A1
- Application number: 19/340,261
- Filed: 2025-09-25
- Published: 2026-04-02
- Earliest claimed: 2024-09-27
- Assignees: Canon Medical Systems Corporation
- Applicants: Canon Medical Systems Corporation
- Inventors: Kyotaro HORIO; Takahiko NISHIOKA; Haruka KUNEZAKI; Sumika KAWASAKA; Daiki ANDO
- Web page: https://patentgrep.com/patent/US20260090779A1

## CPC

- A61B 6/5211: {involving processing of medical diagnostic data}
- A61B 6/032: {Transmission computed tomography [CT]}
- G06T 7/0012: {Biomedical image inspection}
- G06T 7/11: Region-based segmentation
- G06T 7/143: involving probabilistic approaches, e.g. Markov random field [MRF] modelling
- G06T 2207/10081: Computed x-ray tomography [CT]
- G06T 2207/10088: Magnetic resonance imaging [MRI]
- G06T 2207/20076: Probabilistic image processing
- G06T 2207/20084: Artificial neural networks [ANN]
- G06T 2207/30004: Biomedical image processing
- G06T 2207/30056: Liver; Hepatic
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

## Abstract

An X-ray CT apparatus according to an embodiment includes processing circuitry. The processing circuitry acquires information on a structure serving as a target for segmentation. The processing circuitry acquires information on an existence probability of a structure in a CT image on the basis of the information on the structure. The processing circuitry sets a segmentation region for performing segmentation of the structure on a part of the CT image on the basis of information on the existence probability of the structure. The processing circuitry performs segmentation of the structure on a segmentation region in the CT image.

## Claims

### Claim 1

An X-ray CT apparatus comprising processing circuitry configured to
acquire information on a structure serving as a target for segmentation,
acquire information on an existence probability of the structure in a CT image on a basis of the information on the structure,
set a segmentation region where segmentation of the structure is performed on a part of the CT image on a basis of the information on the existence probability of the structure, and
perform segmentation of the structure on the segmentation region of the CT image.

### Claim 2

A medical image processing apparatus comprising processing circuitry configured to
acquire information on a structure serving as a target for segmentation,
acquire information on an existence probability of the structure in a medical image on a basis of the information on the structure,
set a segmentation region where segmentation of the structure is performed on a part of the medical image on a basis of the information on the existence probability of the structure, and
perform segmentation of the structure on the segmentation region of the medical image.

### Claim 3 (depends on 2)

The medical image processing apparatus according to claim 2, wherein
the processing circuitry is configured to acquire at least one of structure continuity, a probability map, and an anatomical landmark as information on the existence probability of the structure.

### Claim 4 (depends on 3)

The medical image processing apparatus according to claim 3, wherein
the processing circuitry is configured to acquire, as the probability map, at least one of a probability map of the structure and a probability map of a structure other than the structure.

### Claim 5 (depends on 2)

The medical image processing apparatus according to claim 2, wherein
the processing circuitry is configured to acquire the structure serving as a target for segmentation on a basis of a designation operation by an operator on the medical image.

### Claim 6 (depends on 2)

The medical image processing apparatus according to claim 2, wherein
the processing circuitry is configured to acquire the structure serving as a target for segmentation on a basis of input information on a structure.

### Claim 7 (depends on 2)

The medical image processing apparatus according to claim 2, wherein
the processing circuitry is configured to set a shape, a size, and an orientation of the segmentation region on a basis of at least one of structure continuity, distribution of a probability map of the structure, or an anatomical landmark.

### Claim 8 (depends on 7)

The medical image processing apparatus according to claim 7, wherein
the segmentation region includes a plurality of sub-regions, and
the processing circuitry is configured to determine connection between sub-regions among the sub-regions on a basis of at least one of structure continuity, distribution of a probability map of the structure, or an anatomical landmark.

### Claim 9 (depends on 2)

The medical image processing apparatus of claim 2, wherein
the processing circuitry is further configured to cause the segmentation region to be displayed in the medical image.

### Claim 10

A method comprising:
acquiring information on a structure serving as a target for segmentation;
acquiring information on an existence probability of the structure in a medical image on a basis of the information on the structure;
setting a segmentation region where segmentation of the structure is performed on a part of the medical image on a basis of the information on the existence probability of the structure; and
performing segmentation of the structure on the segmentation region of the medical image.

### Claim 11

A non-transitory computer readable medium comprising instructions that cause a computer to execute:
acquiring information on a structure serving as a target for segmentation;
acquiring information on an existence probability of the structure in a medical image on a basis of the information on the structure;
setting a segmentation region where segmentation of the structure is performed on a portion of the medical image on a basis of the information on the existence probability of the structure; and
performing segmentation of the structure on the segmentation region of the medical image.