Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge.

Autor: Wang L; Department of Computer Science, Xiamen University, Xiamen 361005, China., Xie C; Department of Computer Science, Xiamen University, Xiamen 361005, China., Lin Y; Department of Electronic Information and Communications, Huazhong University of Science, China., Zhou HY; Tencent YouTu Lab, China., Chen K; iFLYTEK Research South China, Computer Vision Group, China., Cheng D; iFLYTEK Research South China, Computer Vision Group, China., Dubost F; Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC - University Medical Center Rotterdam, the Netherlands., Collery B; Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC - University Medical Center Rotterdam, the Netherlands; Ecole des Mines de Saint-Etienne, Saint-Etienne, France., Khanal B; Institute: NepAl Applied Mathematics and Informatics Institute for Research (NAAMII), China., Khanal B; Institute: NepAl Applied Mathematics and Informatics Institute for Research (NAAMII), China., Tao R; PingAn Technology(shenzhen) Co., Ltd., Shanghai 20000, China., Xu S; PingAn Technology(shenzhen) Co., Ltd., Shanghai 20000, China., Upadhyay Bharadwaj U; University of California, San Francisco., Zhong Z; School of Electronic Engineering, Xidian University, Xi'an 710071, China., Li J; School of Electronic Engineering, Xidian University, Xi'an 710071, China., Wang S; Department of Computer Science, Xiamen University, Xiamen 361005, China., Li S; Department of Medical Imaging, Western University, ON, Canada; Digital Image Group, London, ON, Canada. Electronic address: slishuo@gmail.com.
Jazyk: angličtina
Zdroj: Medical image analysis [Med Image Anal] 2021 Aug; Vol. 72, pp. 102115. Date of Electronic Publication: 2021 Jun 01.
DOI: 10.1016/j.media.2021.102115
Abstrakt: Scoliosis is a common medical condition, which occurs most often during the growth spurt just before puberty. Untreated Scoliosis may cause long-term sequelae. Therefore, accurate automated quantitative estimation of spinal curvature is an important task for the clinical evaluation and treatment planning of Scoliosis. A couple of attempts have been made for automated Cobb angle estimation on single-view x-rays. It is very challenging to achieve a highly accurate automated estimation of Cobb angles because it is difficult to utilize x-rays efficiently. With the idea of developing methods for accurate automated spinal curvature estimation, AASCE2019 challenge provides spinal anterior-posterior x-ray images with manual labels for training and testing the participating methods. We review eight top-ranked methods from 12 teams. Experimental results show that overall the best performing method achieved a symmetric mean absolute percentage (SMAPE) of 21.71%. Limitations and possible future directions are also described in the paper. We hope the dataset in AASCE2019 and this paper could provide insights into quantitative measurement of the spine.
Competing Interests: Declaration of Competing Interest None.
(Copyright © 2021 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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