Medical Imaging Diagnosis of Anterior Cruciate Ligament Injury Based on Intelligent Finite-Element Algorithm

Abstract

A medical imaging method based on an intelligent finite-element algorithm was proposed to diagnose anterior cruciate ligament injury modeling better. CT three-dimensional finite-element modeling was used to predict the fixation points of the anterior cruciate ligament (ACL) femoral tunnel. In this study, 19 subjects were selected, including 11 males and 8 females. There were seven cases of the left knee and 12 cases of the right knee; all patients had sports injuries. The anatomical structure of a patient’s knee was transformed into a three-dimensional model using finite-element analysis software for segmentation. The models of the tibial plateau and lateral femoral condyle were retained. The results showed that the Lysholm score difference (D) between 6 months after surgery and 1 day before surgery was used as the dependent variable in the three-dimensional finite-element model of knee joint established by the software. Pearson’s correlation analysis was performed, and the difference P < 0.05 was statistically significant. The original image of the Dicom format obtained through CT scan is preprocessed in Mimics without any format conversion, which avoids the loss of information, saves more time, and reduces the workload. The definition of “threshold” is used to complete the extraction of bone contour and realize automation. The speed and accuracy of modeling are improved.

Evaluation of the Anterior Cruciate Ligament Injury of Knee Joint Using Magnetic Resonances Imaging

“…Since the knee is a bilateral organ, and when evaluating the most affected side the results showed that the right knee is the most affected side with a frequency of 50 patients (Table 4). Wang (2021), [11], got a similar finding, there were seven cases of the left knee and 12 cases of the right knee; all patients had sports injuries.…”

Model Properties and Clinical Application in the Finite Element Analysis of Knee Joint: A Review

“…Some researchers placed external reference points on the knee joint of volunteers to match CT and MRI images and then combined different structures of the knee joint by anatomy. 12 Most tissue models need to be manually outlined on the images by professionals using image processing software such as Mimics, 13 then imported into finite element analysis software such as ABAQUS and MARC for calculation. 14 In this analysis and calculation process, parameters such as displacement and stress can be obtained (Figure 3).…”

“…Most tissue models need to be manually outlined on the images by professionals using image processing software such as Mimics, 13 then imported into finite element analysis software such as ABAQUS and MARC for calculation 14 . In this analysis and calculation process, parameters such as displacement and stress can be obtained (Figure 3).…”

“…Gardiner et al . proposed that a ligament model with average material properties would not differ significantly from a specific model in predicting stress–strain 13 . The most widely used ligament models in current research are the incompressible spring model and the hyperelastic model.…”

Retracted: Medical Imaging Diagnosis of Anterior Cruciate Ligament Injury Based on Intelligent Finite‐Element Algorithm

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”