Medical imaging and diagnosis of subpatellar vertebrae based on improved Laplacian image enhancement algorithm

Xiangdong Tian; Jian Wang; Dongfeng Du; Shuwen Li; Changxiao Han; Guangyu Zhu; Yetong Tan; Sheng Ma; Handong Chen; Ming Lei

doi:10.1016/j.cmpb.2019.105082

Medical imaging and diagnosis of subpatellar vertebrae based on improved Laplacian image enhancement algorithm

Comput Methods Programs Biomed. 2020 Apr:187:105082. doi: 10.1016/j.cmpb.2019.105082. Epub 2019 Sep 16.

Authors

Affiliations

¹ Minimal Invasive Joint Department, The Third Affiliated Hospital of Beijing University of Chinese Medicine, No. 51 Anwai Xiaoguan Street, Chaoyang District, Beijing, 100029, China. Electronic address: tianxd7802@sina.com.
² Minimal Invasive Joint Department, The Third Affiliated Hospital of Beijing University of Chinese Medicine, No. 51 Anwai Xiaoguan Street, Chaoyang District, Beijing, 100029, China.
³ Graduate school of Beijing University of Chinese Medicine, Beijing, China.

PMID: 31563401
DOI: 10.1016/j.cmpb.2019.105082

Abstract

Objective: Nowadays, arthroscopy is widely applied to the treatment of joint diseases. The experimental trials were designed to determine whether the infrapatellar plica was symptomatic or not, and to appraise the medical effects of these patients who underwent arthroscopic treatment. An improved Laplacian image enhancement algorithm is added to the experiment. The medical image of the Subpatellar vertebral body under arthroscope is processed by the algorithm. The processed image is compared with the original image, and the advantages and disadvantages of the improved Laplacian image enhancement algorithm are analyzed.

Methods: Retrospective Medical trial design was executed in our study. In addition, X-ray film and magnetic resonance imaging (MRI) were included in the study. Visual Analogue Scale (VAS) and Lysholm Score were carried out. Arthroscopy results, MRI findings, and Medical features were researched and analyzed carefully. Then we use the improved Laplacian image enhancement algorithm to process the image, which makes the image more convenient for analysis and improves the diagnostic accuracy.

Results: Some of the experimental protomedical images are not clear enough, and the details and textures are difficult to judge, which hinders the diagnosis. After the improved Laplacian algorithm processing, the image effect has been significantly improved. From the image we get the result, although the wound healed after surgery, some patients have existence of transient swelling in recovery process but no effusion. The pain of all patients knee was sharply relieved and the function was improved. All patients' conditions were most satisfactory.

Conclusion: The findings in this study demonstrate a significant reduction in knee pain and improvement in function by releasing and removal of the symptomatic infrapatellar plica under arthroscopic surgery. The image processed by the improved Laplacian image enhancement algorithm can effectively retain the image details, which is conducive to diagnosis and improve the diagnostic accuracy.

Keywords: Infrapatellar plica; Knee Arthroscopy; Laplacian algorithm; Magnetic resonance imaging; Texture processing.

MeSH terms

Adult
Aged
Algorithms
Arthroscopy*
Female
Humans
Image Enhancement
Image Processing, Computer-Assisted
Joint Capsule / diagnostic imaging*
Knee / diagnostic imaging*
Knee Joint / pathology
Magnetic Resonance Imaging*
Male
Middle Aged
Retrospective Studies
Visual Analog Scale