# US 12,599,357 B2 · Ultrasound automated detection and display method of cranial abnormal regions

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- Number: US 12,599,357 B2
- Document ID: US12599357B2
- Status: Granted
- Kind: B2
- Application number: 18/610,676
- Filed: 2024-03-20
- Published: 2024-07-11
- Granted: 2026-04-14
- Earliest claimed: 2022-01-14
- Assignees: Shantou Institute of Ultrasonic Instruments Co., Ltd.
- Applicants: Shantou Institute of Ultrasonic Instruments Co., Ltd.
- Inventors: Liexiang Fan; Delai Li; Zehang Cai; Bin Li; Zhonghong Wu; Yu Wang; Jinhao Lin; Shaohui Chen; Weiwu Chen; Jingfeng Guo; Yijie Chen
- Web page: https://patentgrep.com/patent/US12599357B2

## CPC

- A61B 8/0808: {for diagnosis of the brain}
- G06T 7/68: of symmetry
- A61B 8/466: {adapted to display 3D data}
- A61B 8/483: {involving the acquisition of a 3D volume of data}
- A61B 8/5223: {for extracting a diagnostic or physiological parameter from medical diagnostic data (for algorithms to analyse biomedical images G06T7/0012)}
- A61B 8/523: {for generating planar views from image data in a user selectable plane not corresponding to the acquisition plane}
- G06T 7/0012: {Biomedical image inspection}
- G06T 7/0014: {using an image reference approach}
- G06T 2207/10132: Ultrasound image
- G06T 2207/30008: Bone
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

## Abstract

An ultrasound automated detection and display method of cranial abnormal regions includes: firstly, a skull surface model is constructed; then contour detection is carried out based on a two-dimensional ultrasonic image to obtain a skull contour curve; fitting is carried out on the contour curve and the skull surface model to determine whether the two-dimensional ultrasonic image has symmetry characteristics or not; finally, similarity comparison calculation is carried out on two mutually symmetrical regions by utilizing the symmetry characteristics of the two-dimensional image, so that whether an abnormal region exists and the location of the abnormal region is determined. The method has the advantages that a skull surface model is constructed before detecting a cranial contour curve on a two-dimensional ultrasonic image.

## Claims

### Claim 1

An ultrasound automated detection and display method of cranial abnormal regions, comprising following steps:
S01, constructing a skull surface model using ultrasonic images obtained by performing ultrasonic scanning on a skull;
S02, performing cranial contour detection on the two-dimensional ultrasound images obtained by performing ultrasound scanning on the skull, and obtaining a cranial contour curve of the two-dimensional images;
S03, registering the cranial contour curve of the two-dimensional images obtained in step S02 to the skull surface model obtained in step S01 to determine the location of the two-dimensional images on the skull surface model;
S04, determining whether the two-dimensional images are symmetrical with respect to a median sagittal plane or a median coronal plane of the skull surface model according to the location of the two-dimensional images obtained in step S03 on the skull surface model;
S05, marking the two-dimensional images which are symmetrical with respect to the median sagittal plane or median coronal plane of the skull surface model in step S04, and selecting two-dimensional images from them for analysis according to analysis requirements;
S06, dividing the two-dimensional images into two symmetrical regions, performing histogram statistics or grayscale co-occurrence matrix calculation on images of the two regions to obtain statistical data, performing normalization processing on the statistical data of the two regions to extract feature data, and then performing similarity comparison calculation on the feature data of the two regions when analyzing the two-dimensional images; and
S07, determining whether there is any difference between the two regions according to the calculated similarity, extracting the grayscale value at the point of the difference if there is a difference, segmenting and marking the abnormal region with the grayscale value as a guide and displaying such abnormal region.

### Claim 2 (depends on 1)

The ultrasound automated detection and display method of cranial abnormal regions according to claim 1, wherein when contour detection is performed on the two-dimensional image in step S02, the contour between the skull and the cranial tissues is detected by using the grayscale or grayscale plus grayscale gradient value, and the contour is filtered and fitted to obtain the skull contour curve.

### Claim 3 (depends on 1)

The ultrasound automated detection and display method of cranial abnormal regions according to claim 1, wherein when the skull surface model is constructed in step S01, three-dimensional ultrasound image scanning is performed on the brain; boundary detection on the three-dimensional ultrasound images between the skull and the cranial tissues is detected by using the grayscale or grayscale plus grayscale gradient value, and the boundary is filtered and fitted to obtain the skull surface model.

### Claim 4 (depends on 1)

The ultrasound automated detection and display method of cranial abnormal regions according to claim 1, wherein when the skull surface model is constructed in step S01, two-dimensional ultrasound image scanning is performed on the brain; contour detection on the two-dimensional ultrasound image between the skull and the cranial tissues is detected by using the grayscale or grayscale plus grayscale gradient value, and the contours by using multiple two-dimensional ultrasonic images are filtered and fitted to obtain the skull surface model.