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Ognard J, Deloire L, Saccardy C, Burdin V, Ben Salem D. Automated contour detection in spine radiographs and computed tomography reconstructions for forensic comparative identification. Forensic Sci Med Pathol 2019; 16:99-106. [PMID: 31768873 DOI: 10.1007/s12024-019-00189-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/20/2019] [Indexed: 12/23/2022]
Abstract
This study was conducted to test an automated method to identify unknown individuals. It relies on a previous radiographic file and uses an edge-based comparison of lumbar CT/PMCT reconstructions and radiographs. The living group was composed of 15 clinical lumbar spine CT scans and 15 paired radiographs belonging to the same patients. The deceased group consisted of 5 lumbar spine PMCT scans and 5 paired antemortem radiographs of deceased individuals plus the 15 unpaired radiographs belonging to the living. An automated method using image filtering (anisotropic diffusion) and edge detection (Canny filter) provided image contours. Cross comparisons of all the exams in each group were performed using similarity measurements under the affine registration hypothesis. The Dice coefficient and Hausdorff distance values were significantly linked (p < 0.001 and p = 0.001 respectively) to the matched examinations in the living group (p < 0.001; pseudo-R2 = 0.70). 12 of the 15 examinations were correctly paired, 2 were wrongly paired and 3 were not paired when they must have been. In the deceased group, the Hausdorff distance was significantly linked (p = 0.018) to the matched examinations (p < 0.001; pseudo-R2 = 0.62; Dice coefficient p = 0.138). The paired examinations were all correctly found, but one was wrongly paired. The negative predictive value was above 98% for both groups. We highlighted the feasibility of comparative radiological identification using automated edge detection in cross-modality (CT/PMCT scan and radiographs) examinations. This method could be of significant help to a radiologist or coroner in identifying unknown cadavers.
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Affiliation(s)
- Julien Ognard
- Department of Radiology, University Hospital of Brest, Bd. Tanguy Prigent, 29609, Brest Cedex, France. .,Laboratory of Medical Information Processing -LaTIM INSERM UMR 1101, 22 avenue Camille Desmoulins, CS 93837 - 29238, Brest Cedex 3, France.
| | - Lucile Deloire
- Department of Radiology, University Hospital of Brest, Bd. Tanguy Prigent, 29609, Brest Cedex, France.,Laboratory of Medical Information Processing -LaTIM INSERM UMR 1101, 22 avenue Camille Desmoulins, CS 93837 - 29238, Brest Cedex 3, France
| | - Claire Saccardy
- Forensic Imaging Unit, University Hospital of Brest, Bd. Tanguy Prigent, 29609, Brest Cedex, France
| | - Valerie Burdin
- Laboratory of Medical Information Processing -LaTIM INSERM UMR 1101, 22 avenue Camille Desmoulins, CS 93837 - 29238, Brest Cedex 3, France.,Institut Mines Telecom Atlantique, CS 83818, 655, avenue du Technopole, 29200, Plouzané, France
| | - Douraied Ben Salem
- Department of Radiology, University Hospital of Brest, Bd. Tanguy Prigent, 29609, Brest Cedex, France.,Laboratory of Medical Information Processing -LaTIM INSERM UMR 1101, 22 avenue Camille Desmoulins, CS 93837 - 29238, Brest Cedex 3, France.,Institut Mines Telecom Atlantique, CS 83818, 655, avenue du Technopole, 29200, Plouzané, France
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João A, Gambaruto A, Pereira R, Sequeira A. Robust and effective automatic parameter choice for medical image filtering. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING: IMAGING & VISUALIZATION 2019. [DOI: 10.1080/21681163.2019.1631887] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Ana João
- Departamento de Matemática and CEMAT/IST, Instituto Superior Técnico, Technical University of Lisbon, Lisboa, Portugal
| | - Alberto Gambaruto
- Department of Mechanical Engineering, University of Bristol, Bristol, UK
| | - Ricardo Pereira
- Department of Neurosurgery, Faculty of Medicine, Coimbra University Hospital Center, University of Coimbra, Coimbra, Portugal
| | - Adélia Sequeira
- Departamento de Matemática and CEMAT/IST, Instituto Superior Técnico, Technical University of Lisbon, Lisboa, Portugal
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