1. An innovative 3D-3D superimposition for assessing anatomical uniqueness of frontal sinuses through segmentation on CT scans
- Author
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Stefano Gibelli, Marta Panzeri, Giovanni Termine, Annalisa Cappella, Michaela Cellina, Chiarella Sforza, Daniele Gibelli, Cristina Cattaneo, Antonio Oliva, and D. De Angelis
- Subjects
Adult ,Male ,3d model ,030218 nuclear medicine & medical imaging ,Pathology and Forensic Medicine ,03 medical and health sciences ,Imaging, Three-Dimensional ,0302 clinical medicine ,3d segmentation ,Image Processing, Computer-Assisted ,Humans ,Medicine ,Superimposition ,Segmentation ,030216 legal & forensic medicine ,Uniqueness ,Orthodontics ,business.industry ,Significant difference ,Open source software ,Mann–Whitney U test ,Forensic Anthropology ,Frontal Sinus ,Radiographic Image Interpretation, Computer-Assisted ,Female ,Tomography, X-Ray Computed ,business - 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
- Published
- 2018