US 12,329,567 B2
Cranial ultrasonic standard plane imaging and automatic detection and display method for abnormal regions
Liexiang Fan, Guangdong (CN); Zehang Cai, Guangdong (CN); Bin Li, Guangdong (CN); Zhonghong Wu, Guangdong (CN); Yu Wang, Guangdong (CN); Jinhao Lin, Guangdong (CN); Xiaoming Zhou, Guangdong (CN); Shaohui Chen, Guangdong (CN); Weiwu Chen, Guangdong (CN); Jingfeng Guo, Guangdong (CN); Yijie Chen, Guangdong (CN); and Zichun Chen, Guangdong (CN)
Assigned to Shantou Institute of Ultrasonic Instruments Co., Ltd., Shantou (CN)
Filed by Shantou Institute of Ultrasonic Instruments Co., Ltd., Guangdong (CN)
Filed on Oct. 12, 2022, as Appl. No. 17/964,776.
Claims priority of application No. 2022100425985 (CN), filed on Jan. 14, 2022.
Prior Publication US 2023/0225700 A1, Jul. 20, 2023
Int. Cl. A61B 8/08 (2006.01); A61B 8/00 (2006.01); A61B 8/14 (2006.01); G06T 7/00 (2017.01)
CPC A61B 8/0816 (2013.01) [A61B 8/145 (2013.01); A61B 8/4477 (2013.01); A61B 8/466 (2013.01); G06T 7/0012 (2013.01); G06T 2207/10136 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A cranial ultrasound standard plane imaging and automatic detection and display method for abnormal regions comprising the following steps:
S01 Using the ultrasound robe of the ultrasound imaging system to perform an ultrasound scan on the skull, constructing a skull surface model according to the ultrasound images obtained and displaying the model on the monitor of the ultrasound imaging system;
S02 on the ultrasound imaging system, identifying the mid-sagittal plane and the mid-coronal plane of the skull surface model according to the skull surface model constructed in step S01, marking the intersection of the mid-sagittal plane, the mid-coronal plane and the skull surface model as the coordinate origin, and establishing a coordinate system;
S03 on the ultrasound imaging system, marking the position of the set standard planes on the constructed skull surface model and the coordinate system, identifying and extracting ultrasound images corresponding to multiple clinically defined standard plane positions from the scanned ultrasound images;
S04 using the image processing system of the ultrasound imaging system to perform calculation of the histogram or the grayscale co-occurrence matrix on the standard ultrasonic images extracted in step S03 and performing normalization to extract feature data;
S05 performing similarity comparison calculation between the extracted feature data and the reference feature data; and
S06 extracting the grayscale value of the difference (if any) between the extracted feature data and the reference feature data, and using such value as a guide to segment the abnormal regions of the standard planes in ultrasound images, and display them on the monitor of the ultrasound imaging system.