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Updated: Feb 28, 2026

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
Published on: January 29, 2018
成人寿命にわたる腰椎のマルチパラメトリック定量イメージングの加齢に伴う変化
Yihao Guo1, Weixiang Xia2, Zihan Yao3
1Department of Radiology, Hainan General Hospital, No.19, Xiuhua Road, Xiuying District, Haikou, Hainan, 570311, China.
Abstract:
Objective To introduce a Gradient Recalled Echo (GRE)-based method for multi-parametric imaging and investigate changes with age across the adult lifespan in the lumbar spine. Approach Dual flip angles (FA) chemical shift-encoded multi-echo GRE (DFA-MEGRE) approach was proposed, which includes three repetitions of GRE acquisition. Six in-phase echoes from dual FAs were used for T1 and PD quantifications. Water, fat, R2*, proton-density fat fraction (PDFF), and quantitative susceptibility mapping (QSM) maps were obtained from six echoes with FA = 15o. The DFA-MEGRE approach was applied to a phantom and 41 healthy volunteers (18 ~ 71 years old). Correlation analysis was applied to validate the accuracy of the proposed method for parameter quantification. Region-of-interest (ROI) analysis was performed on the vertebra for all volunteer data. Correlation analysis was performed on quantitative parameters and age. Main results The DFA-MEGRE approach offers multiple sets of images, including qualitative T1W, PDW, T2*W, water, and fat maps as well as quantitative PD, T1, R2*, PDFF, and QSM maps. The scan times for whole lumber spine coverage with DFA-MEGRE were about 6.5 minutes. There are strong correlations between measured PD and true PD values and between measured R2* and true R2 values. Correlation analysis showed that there were age-related quadratic changes in all five quantitative parameters in the vertebra. Significance The proposed DFA-MEGRE method creates multi-parametric quantitative imaging of the spine and can be extended to other parts of the body. The age-related changes of the multi-parametric quantitative imaging demonstrate that they have great potential for longitudinal study and disease assessment in the spine.
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