Assessment of Local Pelvic Bone Volumetric Density and Cortical Thickness Using Multi-Energy Bi-Planar Radiography

Objective: This study presents a method to determine the volumetric density of pelvic bone and cortical bone thickness along critical regions of the S2 alar-iliac (S2AI) screw trajectory using bi-planar multi-energy X-ray (BMEX).Methods: Simulated BMEXs were generated from CT data from eight patients, with coordinate matching linking pixels to voxel density values.This dataset included pixel attenuation values, coordinates as independent variables, and voxel attenuation values (Hounsfield Units, HU) as the dependent variable for training a random forest regressor model.Results: The trained model revealed adequate trabecular bone density prediction (root mean square error: 32.8 mg/cm 3 ) and cortical thickness accuracy (error 1.2 mm).Trabecular bone showed a minor tendency for density overestimation with a maximum difference of 83 HU, while cortical bone exhibited an underestimation of up to 118 HU.Conclusions: The improved prediction of bone density and the capability to estimate cortical bone thickness signify a significant advancement towards a comprehensive modality for predicting bone quality in implant placement planning.

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Publication Details

Journal
Journal of Musculoskeletal and Neuronal Interactions
Published
2025-11-30
DOI
https://doi.org/10.22540/jmni-25-371
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessment of Local Pelvic Bone Volumetric Density and Cortical Thickness Using Multi-Energy Bi-Planar Radiography

Isabelle Villemure, Carl‐Éric Aubin, Carolina Solórzano Barrera, Ningxin Qiao
Journal of Musculoskeletal and Neuronal Interactions
Advanced X-ray and CT Imaging
article

Assessment of Local Pelvic Bone Volumetric Density and Cortical Thickness Using Multi-Energy Bi-Planar Radiography

Isabelle Villemure, Carl‐Éric Aubin, Carolina Solórzano Barrera, Ningxin Qiao
article en

Abstract

Objective: This study presents a method to determine the volumetric density of pelvic bone and cortical bone thickness along critical regions of the S2 alar-iliac (S2AI) screw trajectory using bi-planar multi-energy X-ray (BMEX).Methods: Simulated BMEXs were generated from CT data from eight patients, with coordinate matching linking pixels to voxel density values.This dataset included pixel attenuation values, coordinates as independent variables, and voxel attenuation values (Hounsfield Units, HU) as the dependent variable for training a random forest regressor model.Results: The trained model revealed adequate trabecular bone density prediction (root mean square error: 32.8 mg/cm 3 ) and cortical thickness accuracy (error 1.2 mm).Trabecular bone showed a minor tendency for density overestimation with a maximum difference of 83 HU, while cortical bone exhibited an underestimation of up to 118 HU.Conclusions: The improved prediction of bone density and the capability to estimate cortical bone thickness signify a significant advancement towards a comprehensive modality for predicting bone quality in implant placement planning.

Journal of Musculoskeletal and Neuronal InteractionsVol. 25(4)
Centre Hospitalier Universitaire Sainte-Justine (CA), Polytechnique Montréal (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 63%
Advanced X-ray and CT Imaging
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Assessment of Local Pelvic Bone Volumetric Density and Cortical Thickness Using Multi-Energy Bi-Planar Radiography — Isabelle Villemure, Carl‐Éric Aubin, et al. · Journal of Musculoskeletal and Neuronal Interactions (2025) | TGRS Research Map | TGRS