Photon-counting detector CT virtual monoenergetic imaging for bone mineral density quantification: Validation with Micro-CT

Volumetric bone mineral density (vBMD) is crucial for evaluating bone quality. We established rabbit tibial defect models to assess virtual monoenergetic imaging (VMI) based on photon-counting detector CT (PCD-CT) for vBMD quantification, using micro-CT as the reference standard. VMI-derived CT values strongly correlated with micro-CT-measured vBMD across all energies (<i>r</i> > 0.925). The 50 keV VMI achieved the highest correlation with micro-CT (<i>r</i> = 0.951) and the best model fit (<i>R</i> <sup>2</sup> = 0.9138), with low prediction errors (MAE = 0.0114 g/cm<sup>3</sup>; RMSE = 0.0135 g/cm<sup>3</sup>). In terms of image quality, the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were superior at 70 keV. Overall, the energy range of 60-80 keV provided the optimal balance between predictive accuracy and image quality. PCD-CT is poised to play a transformative role in orthopedic research and clinical bone health management by enabling accurate, standardized, and longitudinal quantitative assessment.

Authors

Institutions

Publication Details

Journal
iScience
Published
2026-03-03
DOI
https://doi.org/10.1016/j.isci.2026.115197
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Photon-counting detector CT virtual monoenergetic imaging for bone mineral density quantification: Validation with Micro-CT

S. Wang, Danyang Su, Shenyu Yang, Yuanbo Ma et al.
iScience
Advanced X-ray and CT Imaging
article

Photon-counting detector CT virtual monoenergetic imaging for bone mineral density quantification: Validation with Micro-CT

S. Wang, Danyang Su, Shenyu Yang, Yuanbo Ma, Miao Qiuju, Yufang Du, Mengze Ma, Ke Qi, Fei Li, Xiaopeng Yang, Hao Shen, Yaman Li
article en

Abstract

Volumetric bone mineral density (vBMD) is crucial for evaluating bone quality. We established rabbit tibial defect models to assess virtual monoenergetic imaging (VMI) based on photon-counting detector CT (PCD-CT) for vBMD quantification, using micro-CT as the reference standard. VMI-derived CT values strongly correlated with micro-CT-measured vBMD across all energies (<i>r</i> > 0.925). The 50 keV VMI achieved the highest correlation with micro-CT (<i>r</i> = 0.951) and the best model fit (<i>R</i> <sup>2</sup> = 0.9138), with low prediction errors (MAE = 0.0114 g/cm<sup>3</sup>; RMSE = 0.0135 g/cm<sup>3</sup>). In terms of image quality, the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were superior at 70 keV. Overall, the energy range of 60-80 keV provided the optimal balance between predictive accuracy and image quality. PCD-CT is poised to play a transformative role in orthopedic research and clinical bone health management by enabling accurate, standardized, and longitudinal quantitative assessment.

iScienceVol. 29(4)
First Affiliated Hospital of Zhengzhou University (CN)
Openalex Percentile: Top 38%
Advanced X-ray and CT Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.