Literature DB >> 23466075

3D reconstruction of the lumbar vertebrae from anteroposterior and lateral dual-energy X-ray absorptiometry.

Tristan Whitmarsh1, Ludovic Humbert, Luis M Del Río Barquero, Silvana Di Gregorio, Alejandro F Frangi.   

Abstract

Current vertebral fracture prevention measures use Dual-energy X-ray Absorptiometry (DXA) to quantify the density of the vertebrae and subsequently determine the risk of fracture. This modality however only provides information about the projected Bone Mineral Density (BMD) while the shape and spatial distribution of the bone determines the strength of the vertebrae. Quantitative Computed Tomography (QCT) allows for the measurement of the vertebral dimensions and volumetric densities, which have been shown to be able to determine the fracture risk more reliably than DXA. However, for the high cost and high radiation dose, QCT is not used in clinical routine for fracture risk assessment. In this work, we therefore propose a method to reconstruct the 3D shape and density volume of lumbar vertebrae from an anteroposterior (AP) and lateral DXA image used in clinical routine. The method is evaluated for the L2, L3 and L4 vertebra. Of these vertebrae a statistical model of the vertebral shape and density distribution is first constructed from a large dataset of QCT scans. All three models are then simultaneously registered onto both AP and lateral DXA image. The shape and volumetric BMD at several regions of the reconstructed vertebrae is then evaluated with respect to the ground truth QCT volumes. For the L2, L3 and L4 vertebrae respectively the shape was reconstructed with a mean (2RMS) point-to-surface distance of 1.00 (2.64) mm, 0.93(2.52) mm and 1.34(3.72) mm and a strong correlation (r > 0.82) was found between the trabecular volumetric BMD extracted from the reconstructions and from the same subject QCT scans. These results indicate that the proposed method is able to accurately reconstruct the 3D shape and density volume of the lumbar vertebrae from AP and lateral DXA, which can potentially improve the fracture risk estimation accuracy with respect to the currently used DXA derived areal BMD measurements.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23466075     DOI: 10.1016/j.media.2013.02.002

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  4 in total

1.  Effective automated prediction of vertebral column pathologies based on logistic model tree with SMOTE preprocessing.

Authors:  Esra Mahsereci Karabulut; Turgay Ibrikci
Journal:  J Med Syst       Date:  2014-04-22       Impact factor: 4.460

2.  Quantitative computed tomography discriminates between postmenopausal women with low spine bone mineral density with vertebral fractures and those with low spine bone mineral density only: the SHATTER study.

Authors:  M A Paggiosi; M Debono; J S Walsh; N F A Peel; R Eastell
Journal:  Osteoporos Int       Date:  2020-01-28       Impact factor: 4.507

3.  Bone microarchitecture and metabolism in elderly male patients with signs of intravertebral cleft on MRI.

Authors:  Haoran Qi; Jun Qi; Ye Sun; Junying Gao; Jianmin Sun; Guodong Wang
Journal:  Eur Radiol       Date:  2022-01-06       Impact factor: 5.315

Review 4.  Statistical shape and appearance models in osteoporosis.

Authors:  Isaac Castro-Mateos; Jose M Pozo; Timothy F Cootes; J Mark Wilkinson; Richard Eastell; Alejandro F Frangi
Journal:  Curr Osteoporos Rep       Date:  2014-06       Impact factor: 5.096

  4 in total

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