ArticleInternational journal of legal medicine2019
An innovative 3D-3D superimposition for assessing anatomical uniqueness of frontal sinuses through segmentation on CT scans.
Article in International journal of legal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Frontal sinuses as tools for human identification: a systematic review of imaging methods.Dento maxillo facial radiology · 2021Pooled it
- Development of an AI-based model for sex estimation using CT-derived metrics from paranasal sinuses.International journal of legal medicine · 2026Observational
- Non-metric traits of the cranium: are they related one with each other? A novel approach to skeletal variants.International journal of legal medicine · 2026Article
- Comparative analysis of 3D reconstruction of paranasal sinuses for simulated personal identification using Dolphin imaging and mimics software.International journal of legal medicine · 2026Article
- Forensic personal identification using two-dimensional computed tomographic imaging of the frontal sinus: a comparative analysis of feature matching algorithms.International journal of legal medicine · 2025Article
- 3D imaging for dental identification: a pilot investigation of a novel segmentation method using an intra oral scanning device.Forensic science, medicine, and pathology · 2025Article
- Automated identification of unknown decedents: matching postmortem CT images with clinical databases.International journal of legal medicine · 2025Article
- Forensic skeletal and molecular anthropology face to face: Combining expertise for identification of human remains.Annals of the New York Academy of Sciences · 2025Review
- From traditional to innovative: implications of cranial non-metric traits in personal identification.International journal of legal medicine · 2025Article
- Identification score for robust and secure identification using ante- and post-mortem skull CT scans.International journal of legal medicine · 2025Article
- An exclusionary screening method based on 3D morphometric features to sort commingled atlases and axes.Scientific reports · 2024Article
- The potential of facial nevi in personal identification.Scientific reports · 2024Article
- Evaluating artificial intelligence for comparative radiography.International journal of legal medicine · 2024Article
- Article
- Digital pair-matching of iliac bones: pilot study on a three-dimensional approach with models acquired through stereophotogrammetry.International journal of legal medicine · 2023Article
- Article
- Forensic Identification from Three-Dimensional Sphenoid Sinus Images Using the Iterative Closest Point Algorithm.Journal of digital imaging · 2022Article
- 3D-3D facial registration method applied to personal identification: Does it work with limited portions of faces? An experiment in ideal conditions.Journal of forensic sciences · 2022Article
- Three-dimensional linear and volumetric computed tomography analysis of the frontal sinus.Anatomy & cell biology · 2022Article
- Semi-Supervised Deep Learning Semantic Segmentation for 3D Volumetric Computed Tomographic Scoring of Chronic Rhinosinusitis: Clinical Correlations and Comparison with Lund-Mackay Scoring.Tomography (Ann Arbor, Mich.) · 2022Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Anatomical uniqueness plays a significant role in the personal identification process of unknown deceased. Frontal sinuses have been widely used in the past decades for this purpose, mostly using 2D X-ray techniques. However, the modern 3D CT-based segmentation methods may help in developing novel and more reliable methods of identification. This study aims at assessing the anatomical uniqueness of frontal sinuses through the 3D model registration. Thirty subjects who underwent two maxillofacial CT scans (interval: 1 month to 5 years) were selected from a hospital database. Frontal sinuses were automatically segmented through ITK-SNAP open source software and the 3D models belonging to the same patient were automatically superimposed according to the least point-to-point difference between the two surfaces. Two hundred patients were randomly selected from the same database and undergo the same procedure to perform 200 superimpositions of frontal sinuses belonging to different individuals, equally divided between males and females (mismatches). Statistically significant differences of average root mean square (RMS) point-to-point distance between the group of matches and mismatches, as well as possible differences according to sex, were assessed through Mann-Whitney U test (p < 0.05). In the group of matches, RMS ranged between 0.07 and 0.96 mm (mean RMS 0.35 ± 0.23 mm), while in the group of mismatches, it ranged between 0.96 and 10.29 mm (mean RMS 2.59 ± 1.79 mm), with a statistically significant difference (p < 0.0001). Neither the matches nor the mismatches group showed statistically significant differences according to sex. This study proposes a novel 3D approach for the assessment of anatomical uniqueness of frontal sinuses, providing both morphological and quantitative analysis, and a new method of identification based on 3D assessment of frontal sinuses, applicable when ante-mortem CT scans are available.
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