Centre of Traditional Chinese Medical Science, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing 101149, China.
Comput Intell Neurosci. 2022 Jun 27;2022:2196782. doi: 10.1155/2022/2196782. eCollection 2022.
This study aimed to explore the effect of ultrasound imaging in the diagnosis and evaluation of acupoint application in the treatment of idiopathic edema. In this study, an ultrasound imaging diagnosis based on the segmentation dictionary learning (S-DL) algorithm was proposed. In addition, the autoencoding algorithm (ASE) was compared with the traditional dictionary learning (DL) algorithm. The treatment effect, associated quantitative integral, and quality of life score of patients in two groups were compared. The results showed that the peak signal-to-noise ratio (PSNR), root mean square error (RMSE), and structural similarity (SSIM) of the S-DL algorithm were 32.45 dB, 0.654, and 0.0012, respectively, which were quite different compared to the ASE and DL algorithms, showing statistical significance ( < 0.05). As the noise level increased, the image reconstruction quality gradually decreased, but the S-DL algorithm obtained better image quality than the DL and ASE algorithms, and the difference was statistically great ( < 0.05). There was no significant difference in the average age and average course of the disease between the experimental group and the control group ( > 0.05). The overall treatment effect of patients in the experimental group was 96.77%, while that in the control group was 45.16%, and the difference between the two was statistically significant ( < 0.05). After treatment, the semiquantitative scores of fatigue, dizziness, palpitation, frequent urination, urgent urination, and dyspepsia of the experimental group were 1.18, 0.39, 0.72, 1.21, and 0.87, respectively, which were much lower than those of the control group statistically ( < 0.05). The score of quality of life of the experimental group of patients after treatment was 91.27 points, and that of the control group was 82.35 points, showing statistically great difference ( < 0.05). It showed that the algorithm performance of S-DL was relatively good, and the acupoint application therapy was better than traditional western medicine in the treatment of idiopathic edema, which reduces the discomfort of patients to a certain extent and improves the quality of life of patients.
本研究旨在探讨超声成像在诊断和评估穴位贴敷治疗特发性水肿中的作用。本研究提出了一种基于分割字典学习（S-DL）算法的超声成像诊断方法，并将自动编码算法（ASE）与传统字典学习（DL）算法进行了比较。比较了两组患者的治疗效果、相关定量积分和生活质量评分。结果表明，S-DL 算法的峰值信噪比（PSNR）、均方根误差（RMSE）和结构相似性（SSIM）分别为 32.45dB、0.654 和 0.0012，与 ASE 和 DL 算法有显著差异（ < 0.05）。随着噪声水平的提高，图像重建质量逐渐降低，但 S-DL 算法获得的图像质量优于 DL 和 ASE 算法，差异具有统计学意义（ < 0.05）。实验组和对照组患者的平均年龄和平均病程差异无统计学意义（ > 0.05）。实验组患者的总有效率为 96.77%，对照组为 45.16%，两组差异有统计学意义（ < 0.05）。治疗后，实验组患者的疲劳、头晕、心悸、尿频、尿急、消化不良的半定量评分分别为 1.18、0.39、0.72、1.21、0.87，均明显低于对照组（ < 0.05）。治疗后，实验组患者的生活质量评分为 91.27 分，对照组为 82.35 分，两组差异有统计学意义（ < 0.05）。表明 S-DL 算法性能较好，穴位贴敷疗法治疗特发性水肿优于传统西药，在一定程度上减轻了患者的不适，提高了患者的生活质量。
