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An Overview for Computer-Assisted Automated Spinal Scoliosis Measurement

Published: 29 April 2024 Publication History

Abstract

Spinal X-rays are widely used for screening and preliminary diagnosis of adolescent scoliosis due to their low cost and minimal radiation exposure. To enhance the accuracy of scoliosis measurements and alleviate the burden on physicians, the goal in this field has been to achieve fully automated spinal curvature measurements under the assistance of computer technology. In this paper, an analysis is conducted on existing computer assisted methods for measuring scoliosis across various image modalities. These methods are categorized into three groups based on their contributions to the automation of scoliosis measurement: automated scoliosis localization, automated curvature feature extraction, and automated classification of scoliosis severity levels. In the end, the problems existing in the current research progress are highlighted and possible solutions are discussed for achieving fully automated measurement of spinal curvature on X-rays.

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    ICEITSA '23: Proceedings of the 3rd International Conference on Electronic Information Technology and Smart Agriculture
    December 2023
    541 pages
    ISBN:9798400716775
    DOI:10.1145/3641343
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 29 April 2024

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    Author Tags

    1. Curvature feature extraction
    2. Scoliosis localization
    3. Spinal curvature

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