Ultrasonic diagnosis of functional dyspepsia under adaptive partial differential denoising model and its relationship with Helicobacter pylori infection
| Autor: | Chan Zhang, Changming Liu, Zhi Tan, Ahmed Okasha, Jianqing Yang, Hongwei Xu, Ahmed Mohamed Hamad Arbab |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Helicobacter pylori infection Functional dyspepsia Noise reduction QC1-999 General Physics and Astronomy 02 engineering and technology 01 natural sciences Gastroenterology Ultrasound diagnosis Internal medicine 0103 physical sciences Adaptive partial differential denoising model Medicine 010302 applied physics biology Helicobacter pylori business.industry Physics Ultrasound 021001 nanoscience & nanotechnology biology.organism_classification Running time Partial derivative Ultrasonic sensor 0210 nano-technology business |
| Zdroj: | Results in Physics, Vol 26, Iss, Pp 104387-(2021) |
| ISSN: | 2211-3797 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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