Automatic identification method for seroperitoneum B-mode ultrasound image

Abstract

The invention provides an automatic identification method for a seroperitoneum B-mode ultrasound image, and the method comprises the following steps: 1, respectively carrying out ultrasonic scanning on a standard section of a liver and kidney crypt or a spleen and kidney crypt to obtain a B-mode ultrasound image marked with seroperitoneum, and establishing a seroperitoneum data set; 2, performing image processing on the acquired B-mode ultrasound image and segmenting a seroperitoneum area in the image; 3, carrying out pixel statistics on the segmented seroperitoneum area, carrying out quantitative analysis on seroperitoneum conditions, and judging whether seroperitoneum exists or not; 4, carrying out characteristic value calculation on the segmented seroperitoneum region, carrying out correlation analysis on the characteristic value and a laboratory test and examination result, and judging the type of the seroperitoneum. According to the method provided by the invention, the seroperitoneum area in the B ultrasonic image can be automatically segmented, quantitative and qualitative analysis is performed on the seroperitoneum area, subjective limitation of manual judgment is reduced, result judgment is quickly and accurately performed on the seroperitoneum condition, and the method is suitable for large-scale popularization.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to an automatic B-ultrasonic image recognition method for peritoneal effusion. Background technique [0002] Trauma is a common problem facing the world today. Patients with severe trauma are critically ill and require timely medical assistance. The key is that clinicians can quickly and accurately assess the patient's condition. Ultrasound has become an important means of bedside evaluation because of its simplicity, convenience, safety, effectiveness, and ease of repeatability. Internal hemorrhage caused by blunt injury of abdominal viscera or ascites secondary to other serious diseases can easily accumulate in the lowest part of the abdominal cavity. Ultrasound can sensitively identify the ascites in the lowest hepatic and renal recesses in the supine position. It has become an important indicator for judging whether there is abdominal organ injury in the assessment of the i...

AI Technical Summary

Problems solved by technology

It has become an important indicator for judging whether there is abdominal organ injury in the assessment of the injury condition of critically ill patients. However, due to the lack of mastery of ultrasound examination technology by clinical front-line doctors, it is difficult to perform unified and standardized operations and make accurate judgments. A fast and accurate method is needed. The automatic identification of peritoneal effusion technology to reduce the subjective limitations of human judgment

Images