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


Autoria(s): Adam, Clayton J.; Dougherty, Geoff
Contribuinte(s)

Dougherty, Geoff

Data(s)

2011

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/48156/

Publicador

Springer

Relação

http://eprints.qut.edu.au/48156/1/Chapter_10_Final_Draft_for_ePrints_Jan_2012.pdf

DOI:10.1007/978-1-4419-9779-1_10

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.

Direitos

Copyright 2011 Springer

Fonte

Faculty of Built Environment and Engineering; Institute of Health and Biomedical Innovation; School of Engineering Systems

Palavras-Chave #090302 Biomechanical Engineering #110314 Orthopaedics #spinal deformity #scoliosis #adolescent idiopathic scoliosis #medical image processing #scoliosis assessment
Tipo

Book Chapter