Ultrasonic diagnosis of functional dyspepsia under adaptive partial differential denoising model and its relationship with Helicobacter pylori infection
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Abstract
This work was to study the relationship between functional dyspepsia (FD) and Helicobacter pylori (HP) based on the adaptive partial differential denoising model. The adaptive partial differential denoising model was adopted to analyze the ultrasound images, which was then utilized in the ultrasound diagnosis of FD after its related performance was evaluated. Fifty patients with gastrointestinal disease who came to our hospital were recruited and rolled into group A (HP positive) and group B (HP negative), and the clinical symptoms of the two groups were compared. The results showed that the maximum peak signal-to-noise ratio (PSNR) and the running time based on the adaptive partial differential denoising model were both superior to the total variation image restoration (TV) model, with statistical differences (P < 0.05). The PSNR of the partial differential denoising model was superior to that of the TV model, and the mean square error (MSE) was inferior to that of the TV model, both with considerable differences (P < 0.05). For the ultrasound manifestations of the stomach of FD patients, the number of dysfunctional patients in gastric emptying dyskinesias was the largest, accounting for 38%. The overall symptoms of FD patients and HP-infected patients were more severe than those of uninfected patients, especially the symptom of upper abdominal pain, and that in group A was remarkably higher than that of group B (P < 0.05). In summary, the quality of ultrasound images based on the adaptive partial differential denoising model was ideal, and the edge retention capability was strong. In addition, HP was an important factor in causing FD, among which upper abdominal pain was the most obvious. © 2021 The Authors