Patient-specific phantomless estimation of bone mineral density and its effects on finite element analysis results: a feasibility study
type: Item
instance of: scholarly article
title: Patient-specific phantomless estimation of bone mineral density and its effects on finite element analysis results: a feasibility study
zbMATH Open document ID: 1423.92014
DOI: 10.1155/2019/4102410
author: Young Han Lee
author: Jung Jin Kim
author: In Gwun Jang
published in: Computational \& Mathematical Methods in Medicine
publication date: 2019-02-26T00:00:00Z
review text: Summary: \textit{Objectives}. This study proposes a regression model for the phantomless Hounsfield units (HU) to bone mineral density (BMD) conversion including patient physical factors and analyzes the accuracy of the estimated BMD values. \textit{Methods}. The HU values, BMDs, circumferences of the body, and cross-sectional areas of bone were measured from 39 quantitative computed tomography images of L2 vertebrae and hips. Then, the phantomless HU-to-BMD conversion was derived using a multiple linear regression model. For the statistical analysis, the correlation between the estimated BMD values and the reference BMD values was evaluated using Pearson's correlation test. Voxelwise BMD and finite element analysis (FEA) results were analyzed in terms of root-mean-square error (RMSE) and strain energy density, respectively. \textit{Results}. The HU values and circumferences were statistically significant \((p<0.05)\) for the lumbar spine, whereas only the HU values were statistically significant \((p<0.05)\) for the proximal femur. The BMD values estimated using the proposed HU-to-BMD conversion were significantly correlated with those measured using the reference phantom: Pearson's correlation coefficients of 0.998 and 0.984 for the lumbar spine and proximal femur, respectively. The RMSEs of the estimated BMD values for the lumbar spine and hip were \(4.26\pm 0.60\) (mg/cc) and \(8.35\pm 0.57\) (mg/cc), respectively. The errors of total strain energy were 1.06\% and 0.91\%, respectively. \textit{Conclusions}. The proposed phantomless HU-to-BMD conversion demonstrates the potential of precisely estimating BMD values from CT images without the reference phantom and being utilized as a viable tool for FEA-based quantitative assessment using routine CT images.
Mathematics Subject Classification ID: 92C10
Mathematics Subject Classification ID: 92C55
Mathematics Subject Classification ID: 74S05
zbMATH DE Number: 7029782
zbMATH Keywords: bone mineral density
zbMATH Keywords: finite element analysis
zbMATH Keywords: computed tomography
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2019/4102410
OpenAlex ID: W2908316022
Wikidata QID: Q61806899
DBLP publication ID: journals/cmmm/LeeKJ19
description: scientific article; zbMATH DE number 7029782