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Randomized Controlled Trial
. 2022 Apr 19:2022:8002055.
doi: 10.1155/2022/8002055. eCollection 2022.

Image Enhancement Algorithm-Based Ultrasound on Pelvic Floor Rehabilitation Training in Preventing Postpartum Female Pelvic Floor Dysfunction

Lifeng Chen  1 , Chunyan Lu  2
Affiliations
Randomized Controlled Trial

Image Enhancement Algorithm-Based Ultrasound on Pelvic Floor Rehabilitation Training in Preventing Postpartum Female Pelvic Floor Dysfunction

Lifeng Chen et al. Comput Math Methods Med. .

Abstract

In order to explore the application value of image enhancement algorithm in evaluating pelvic floor rehabilitation training in the prevention of postpartum female pelvic floor dysfunction (FPFD), 70 patients with FPFD were selected as the study subjects and randomly divided into two groups. One group received routine nursing (control group, n = 35), and the other group received pelvic floor rehabilitation training based on routine nursing (experimental group, n = 35). In ultrasound images based on an image enhancement algorithm, the International Consultation on Incontinence Questionnaire-Short Form (ICIQ-SF), and Pelvic Floor Distress Inventory-20 (PFDI-20) were used to evaluate the efficacy. The results showed that after image enhancement algorithm processing, the image signal-to-noise ratio (SNR), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM) of ultrasound images of patients with FPFD were significantly improved (P < 0.05); the mean square error (MSE) was significantly decreased (P < 0.05); the diagnostic accuracy of FPFD in the original ultrasound images was 73.34%, and that after image enhancement algorithm processing was significantly improved to be 89.86% (P < 0.05). In addition, the overall clinical response rate of FPFD in the experimental group (82.86%) was obviously higher than that in the control group (51.43%) (P < 0.05). After rehabilitation training, the ICIQ-SF and PFDI-20 scores of patients with FPFD in the two groups suggested a significant decrease (P < 0.05). In summary, using an image enhancement algorithm has a good application prospect in evaluating pelvic floor rehabilitation training in preventing postpartum FPFD and is worthy of further promotion.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Comparison of basic information between the two groups. (a), (b), and (c) refer to pelvic floor organ prolapse, urinary incontinence, and bulging posterior vaginal wall, respectively.
Figure 2
Figure 2
Comparison of ultrasonic image quality test results of patients with FPFD before and after image enhancement algorithm processing. (a), (b), (c), and (d) are the contrast maps of SNR, PSNR, MSE, and SSIM values of ultrasound images of patients with FPFD before and after image enhancement algorithm processing, respectively; ∗ indicates that the differences are statistically significant compared with those before algorithm processing (P < 0.05).
Figure 3
Figure 3
Comparison of ultrasound images of patients with FPFD before and after algorithm processing. (a) and (c) are the ultrasound images of the experimental group before algorithm processing. (e) and (g) are the ultrasound images of the control group before algorithm processing. (b) and (d) are the ultrasound images of the experimental group after algorithm processing. (f) and (h) are the ultrasound images of the control group after algorithm processing, respectively.
Figure 4
Figure 4
Comparison of clinical efficacy between the two groups. (a) Comparison of efficacy; (b) comparison of overall response rate; ∗ indicates significant difference from the control group (P < 0.05).
Figure 5
Figure 5
Comparison of ICIQ-SF and PFDI-20 scores between the two groups. (a) ICIQ-SF score comparison diagram; (b) PFDI-20 score comparison diagram; ∗ means that there is a significant difference between ICIQ-SF score and PFDI-20 score or between the experimental group and the control group (P < 0.05).
Figure 6
Figure 6
Comparison of imaging diagnostic accuracy of different algorithms. ∗ indicates significant difference in diagnostic accuracy compared with original ultrasonic image (P < 0.05).
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