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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Imaging Studies III: Computed Tomography01:27

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Updated: Nov 13, 2025

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
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Age estimation based on the acetabulum using global illumination rendering with computed tomography.

Meyssa Belghith1, Elodie Marchand2, Mehdi Ben Khelil3

  • 1Department of Legal Medicine, CHU Nancy, Pole URM, F-54000, Nancy, France. meyssabelghith1@gmail.com.

International Journal of Legal Medicine
|March 13, 2021
PubMed
Summary
This summary is machine-generated.

Global illumination rendering (GIR) enhances computed tomography (CT) scans for acetabular age estimation. This method offers high accuracy, particularly for younger and older age groups, improving forensic analysis.

Keywords:
AcetabulumAge estimationAnthropologyComputed tomographyThree-dimensional imageVirtual reality

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Area of Science:

  • Forensic Anthropology
  • Radiology
  • Medical Imaging

Background:

  • The acetabulum is a reliable indicator for age estimation.
  • Analyzing acetabular morphology via computed tomography (CT) presents visualization challenges.
  • Global illumination rendering (GIR) can enhance CT image detail for improved analysis.

Purpose of the Study:

  • To evaluate age estimation accuracy using acetabular morphological features with GIR-enhanced CT.
  • To assess the reproducibility and reliability of the GIR-based method for age determination.

Main Methods:

  • Collected 200 postmortem CT scans and segmented acetabular joints.
  • Reconstructed 3D images using GIR for detailed visualization.
  • Analyzed morphological criteria using the Rougé-Maillart method, assessing reproducibility with ICC and age estimation via regression.

Main Results:

  • High inter-observer (75.6-90.8% ICC) and intra-observer (89.3-95.8% ICC) agreement observed.
  • Morphological variables and total score significantly correlated with age groups.
  • Validated models achieved high prediction rates (>85%) for ages <40 and >70, with adjusted R² up to 85.6%.

Conclusions:

  • GIR-enhanced CT provides photorealistic images beneficial for forensic age estimation.
  • The method demonstrates high reproducibility and accuracy in age determination based on acetabular morphology.