Using Statistical Shape and Appearance Modelling to characterise the 3D shape and material properties of human lumbar vertebrae: A proof of concept study

G A Day; A C Jones; R K Wilcox

doi:10.1016/j.jmbbm.2021.105047

Using Statistical Shape and Appearance Modelling to characterise the 3D shape and material properties of human lumbar vertebrae: A proof of concept study

J Mech Behav Biomed Mater. 2022 Feb:126:105047. doi: 10.1016/j.jmbbm.2021.105047. Epub 2021 Dec 15.

Authors

G A Day¹, A C Jones², R K Wilcox²

Affiliations

¹ Institute of Medical and Biological Engineering, Mechanical Engineering, University of Leeds, UK. Electronic address: g.day1@leeds.ac.uk.
² Institute of Medical and Biological Engineering, Mechanical Engineering, University of Leeds, UK.

PMID: 34999487
DOI: 10.1016/j.jmbbm.2021.105047

Abstract

Patient variation affects the outcomes of a range of spinal interventions, from disc replacement to vertebral fixation and vertebroplasty. Statistical Shape and Appearance Modelling (SSAM) can be used to describe anatomical variation and pathological differences within the population. To better understand how bone density and shape variation affect load transfer with respect to surgical treatments, Finite Element (FE) models can be generated from a SSAM. The aim for this study is to understand whether geometric and density variation as well as multiple vertebral levels can be incorporated into a single SSAM and whether this can be used to investigate the relationships between, and effects of, the various modes of variation. FE models of 14 human lumbar vertebrae that had been μCT imaged and validated through experimental testing were used as input specimens for a SSAM. The validity of the SSAM was evaluated by using principal component analysis to identify the primary modes of geometric and bone density variation and comparing to those in the input set. FE models were generated from the SSAM to examine the response to loading. The mean error between the input set and generated models for volume, mean density and FE compressive stiffness were 10%, 3% and 10% respectively. Principal Component (PC) 1 captured the majority of the bone density variation. The remaining PCs described specific geometric variation. The FE models generated from the SSAM showed the variations in vertebral stiffness as a result of complex relationships between bone density and shape. The SSAM created has limited data for its input set, however, it acts as a proof of concept for the novel combination of material and shape variation into a single shape model. This approach and the tools developed can be applied to wider patient groups and treatment scenarios to improve patient stratification and to optimise treatments.

Keywords: Finite element; Shape model; Spine; Statistical shape and appearance model; Statistical shape model; Vertebra.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Biomechanical Phenomena
Finite Element Analysis
Humans
Lumbar Vertebrae* / diagnostic imaging
Models, Statistical
Proof of Concept Study
Vertebroplasty*