Evidence map›Paper›PMID 35013828›Full record

ArticleJournal of digital imaging2022

Automatic Femoral Deformity Analysis Based on the Constrained Local Models and Hough Forest.

Lunhui Duan, Hao Sun, Delong Liu, Yinglun Tan, Yue Guo, Jianwen Chen, Xiaojing Ding

Abstract read
In one paragraph

Article in Journal of digital imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lunhui DuanSchool of Artificial Intelligence and Data Science, Hebei University of Technology, No. 8 Guangrong Road, Hong Qiao, Tianjin, 300130, China.
Hao SunSchool of Artificial Intelligence and Data Science, Hebei University of Technology, No. 8 Guangrong Road, Hong Qiao, Tianjin, 300130, China. sunhao@hebut.edu.cn.ORCID 0000-0003-3750-1856
Delong LiuSchool of Artificial Intelligence and Data Science, Hebei University of Technology, No. 8 Guangrong Road, Hong Qiao, Tianjin, 300130, China.
Yinglun TanSchool of Artificial Intelligence and Data Science, Hebei University of Technology, No. 8 Guangrong Road, Hong Qiao, Tianjin, 300130, China.
Yue GuoRehabilitation Hospital, National Research Center for Rehabilitation Technical Aids, No. 1 Ronghua Middle Road, Da Xing, Beijing, 100176, China.
Jianwen ChenRehabilitation Hospital, National Research Center for Rehabilitation Technical Aids, No. 1 Ronghua Middle Road, Da Xing, Beijing, 100176, China.
Xiaojing DingTianjin Beichen Hospital, No. 7 Beiyi Road, Bei Chen, Tianjin, 300400, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinically, Taylor spatial frame (TSF) is usually used to correct femoral deformity. The first step in correction is to analyze skeletal deformities and measure the center of rotation of angulation (CORA). Since the above work needs to be done manually, the doctor's workload is heavy. Therefore, an automatic femoral deformity analysis system was proposed. Firstly, the Hough forest and constrained local models were trained on the femur image set. Then, the position and size of the femur in the X-ray image were detected by the trained Hough forest. Furthermore, the position and size were served as the initial values of the trained constrained local models to fit the femoral contour. Finally, the anatomical axis line of the proximal femur and the anatomical axis line of the distal femur could be drawn according to the fitting results. According to these lines, CORA can be found. Compared with manual measurement by doctors, the average error of the hip joint orientation line was 1.7°, the standard deviation was 1.75, the average error of the anatomic axis line of the proximal femur was 2.9°, and the standard deviation was 3.57. The automatic femoral deformity analysis system meets the accuracy requirements of orthopedics and can significantly reduce the workload of doctors.

Indexed as

FemurHip JointForestsHumansComputer-aided detection/diagnosisConstrained local modelsFemoral deformity analysisHough forestImage segmentationX-ray

Identifiers

PMID35013828
PMCPMC8921433

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.