Three-Dimensional Ultrasound Imaging under Optimized Nuclear Regression Reconstruction Algorithm in the Diagnosis Vaginal Delivery and Cesarean Section on the Anal Sphincter Complex of Primiparas

• Published in: Computational and mathematical methods in medicine Vol. 2022; pp. 1 - 10
• Main Authors: Wang, Han, He, Xiaolan, He, Yi
• Format: Journal Article
• Language: English
• Published: United States Hindawi 07.06.2022
• Subjects: Algorithms; Anal Canal - anatomy & histology; Anal Canal - diagnostic imaging; Anal Canal - injuries; Cesarean Section - adverse effects; Delivery, Obstetric - adverse effects; Delivery, Obstetric - methods; Female; Humans; Imaging, Three-Dimensional; Pregnancy; Ultrasonography - methods
• ISSN: 1748-670X; 1748-6718; 1748-6718
• DOI: 10.1155/2022/6173460

This study was aimed at analyzing the injury of anal sphincter (AS) for primipara caused by the vaginal delivery and cesarean section under the guidance of three-dimensional (3D) ultrasound images. A total of 160 patients who underwent postpartum reexamination were enrolled as the research subjects, including 80 cases of natural delivery (group A) and 80 cases of cesarean section pregnant women (group B), all of whom underwent three-dimensional ultrasound imaging scans. At the same time, an optimized kernel regression reconstruction (KRR) algorithm was proposed for the enhancement of ultrasound images. It was found that the running time after acceleration by the graphics processing unit (GPU) was obviously superior to that of a single-threaded CPU and a multithreaded CPU, showing statistical differences (P<0.05). The thickness of the proximal and distal external AS in group A was much thinner in contrast to that in group B, showing statistical difference (P<0.05). Therefore, the 3D ultrasound image based on the optimized KRR algorithm can accurately assess the morphology of AS injury in primipara, and the adverse effect of natural delivery on the AS complex in primipara was greater than that of cesarean section.