Model-based registration for assessment of spinal deformities in idiopathic scoliosis

Physics in Medicine and Biology
Daniel ForsbergHans Knutsson

Abstract

Detailed analysis of spinal deformity is important within orthopaedic healthcare, in particular for assessment of idiopathic scoliosis. This paper addresses this challenge by proposing an image analysis method, capable of providing a full three-dimensional spine characterization. The proposed method is based on the registration of a highly detailed spine model to image data from computed tomography. The registration process provides an accurate segmentation of each individual vertebra and the ability to derive various measures describing the spinal deformity. The derived measures are estimated from landmarks attached to the spine model and transferred to the patient data according to the registration result. Evaluation of the method provides an average point-to-surface error of 0.9 mm ± 0.9 (comparing segmentations), and an average target registration error of 2.3 mm ± 1.7 (comparing landmarks). Comparing automatic and manual measurements of axial vertebral rotation provides a mean absolute difference of 2.5° ± 1.8, which is on a par with other computerized methods for assessing axial vertebral rotation. A significant advantage of our method, compared to other computerized methods for rotational measurements, is that it does no...Continue Reading

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Citations

Jul 30, 2014·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Daniel ForsbergHans Knutsson
Jun 25, 2017·Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance·Mariana BustamanteTino Ebbers
Feb 8, 2018·Spine Deformity·Ludvig VavruchHans Tropp
Feb 15, 2017·Physics in Medicine and Biology·Yabo FuDeshan Yang
Mar 1, 2018·Spine Deformity·Ludvig VavruchHans Tropp

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