NCJ Number
305265
Date Published
2022
Annotation
The purpose of this study was to develop a predictive model to generate representative 3D pediatric femur models for age 0–3 years based on child characteristics.
Abstract
Computed tomography (CT) images of 79 decedent (age 0–3 years) femurs were used to develop a statistical shape model characterising femur shape. A regression model predicted shape parameters from child characteristics (age, height, and weight). The predictive model demonstrated good fit (R2 = 0.976) in predicting femur shape (surface coordinates) in the test set (n = 17) and thus, can be used to generate representative 3D paediatric femur models in the absence of CT imaging. (Publisher abstract provided)
Date Published: January 1, 2022
Downloads
Similar Publications
- Current State of Knowledge on Implications of Gut Microbiome for Surgical Conditions
- Detection of Ignitable Liquid Residues in Fire Debris by Using Direct Analysis in RealTime Mass Spectrometry (DART-MS)
- The Collection, Preservation, and Processing of DNA Samples from Decomposing Human Remains for More Direct Disaster Victim Identification (DVI)