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Applications of medical image processing in the diagnosis and treatment of spinal deformity

Adam, Clayton J. & Dougherty, Geoff (2011) Applications of medical image processing in the diagnosis and treatment of spinal deformity. In Dougherty, Geoff (Ed.) Medical Image Processing : Techniques and Applications. Springer, pp. 227-248.

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    Abstract

    In Chapter 10, Adam and Dougherty describe the application of medical image processing to the assessment and treatment of spinal deformity, with a focus on the surgical treatment of idiopathic scoliosis. The natural history of spinal deformity and current approaches to surgical and non-surgical treatment are briefly described, followed by an overview of current clinically used imaging modalities. The key metrics currently used to assess the severity and progression of spinal deformities from medical images are presented, followed by a discussion of the errors and uncertainties involved in manual measurements. This provides the context for an analysis of automated and semi-automated image processing approaches to measure spinal curve shape and severity in two and three dimensions.

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    ID Code: 48156
    Item Type: Book Chapter
    Keywords: spinal deformity, scoliosis, adolescent idiopathic scoliosis, medical image processing, scoliosis assessment
    DOI: 10.1007/978-1-4419-9779-1_10
    ISBN: 978-1-4419-9769-2
    Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > BIOMEDICAL ENGINEERING (090300) > Biomechanical Engineering (090302)
    Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > CLINICAL SCIENCES (110300) > Orthopaedics (110314)
    Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
    Current > Institutes > Institute of Health and Biomedical Innovation
    Past > Schools > School of Engineering Systems
    Copyright Owner: Copyright 2011 Springer
    Deposited On: 20 Jan 2012 08:48
    Last Modified: 20 Jan 2012 08:49

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