Ignite Creation Date:
2025-12-25 @ 2:22 AM
Ignite Modification Date:
2026-03-03 @ 3:03 PM
Study NCT ID:
NCT06496334
Status:
COMPLETED
Last Update Posted:
2025-03-11
First Post:
2014-07-11
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Forensic Facial Reconstruction (FFR) From CT Scans
Sponsor:
Queen Mary University of London
Organization:
Study Overview
Official Title:
3-D Computed Forensic Facial Reconstruction of Computed Tomography (CT) Scanned Skulls Using Human Facial Templates
Status:
COMPLETED
Status Verified Date:
2025-03
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
1. Reconstructing faces derived from CT scanned skulls using the average facial templates and employing computer facial reconstruction software programme.
2. Evaluating the accuracy of facial reconstructions by objective comparison between the reconstructed face and the CT scanned face.
3. Evaluating the accuracy of facial reconstructions by subjective assessment via 2 groups of individuals, experienced and inexperienced in facial images perception.
2. Evaluating the accuracy of facial reconstructions by objective comparison between the reconstructed face and the CT scanned face.
3. Evaluating the accuracy of facial reconstructions by subjective assessment via 2 groups of individuals, experienced and inexperienced in facial images perception.
Detailed Description:
1. Patients Recruitment Patients meeting the inclusion criteria are identified and recruited by the attending clinical staff at a private Diagnostic Radiology Center in Egypt after completing the relevant ethical and regulatory procedures.The study will include a minimum of 20 case studies.
2. Acquisition of CT Scanned Head Images CT images are acquired by a computed tomography scanner.
3. Segmentation (i.e extraction) of a 3D images of the skull from CT Digital Imaging and Communications in Medicine (DICOM) files: via 3D slicer software and Simpleware (CT segmenting software) trial software.
4. Selection of Average Face Templates For each studied case, the facial reconstruction will be conducted using an average Caucasian face template that matches the studied skull, in terms of sex and age group selected.
5. Facial Reconstruction is performed using the patient segmented skull image and its matching average face template, and employing the present computer software program.
6. Segmentation (i.e extraction) of a 3D images of the face surface from CT DICOM files.
7. Objective Assessment of Facial Reconstructions for each case via objective surface superimposition between the extracted 3D facial image and the 3D reconstructed face using Robin's surface viewer software.
The sum of square differences (SSD) between the superimposed images will be calculated as an indication of the goodness of fit of the reconstructed face with the CT scanned face. The measured differences will then be correlated with the sum of scores given to each reconstructed face by subjective assessment.
8. Subjective Assessment by Volunteers Assessors Volunteer assessors will be approached in an attempt to evaluate the accuracy of the resulting reconstructed images. Two groups of assessors will be recruited; the first assessors will be experts with professional experience in face image identification (n=5), and the second group will comprise of participants inexperienced in forensic facial identification. The latter will be recruited from staff and students of Queen Mary University of London (QMUL) (n=20-30). All participants will be asked to sign a written confidentiality agreement.
1. Face Pool Test Construction The aim of face pool test in the present study is to assess the ability of observers to identify a target subject from a face pool of similar subjects. The face pool will be formed of computer generated faces, in 5 views (frontal, right lateral and left lateral, right ¾ and left ¾), included the extracted CT face of the target and these faces will be compared to the target facial reconstruction. Each observer will be asked to select one image from the test faces that best matches the target reconstructed face.
2. Resemblance Test Construction This test aims to compare and assess the similarity between the facial reconstruction and the CT face of a target subject using rating/ranking scale. Each observer will be asked to rate the target reconstructed face from 0 to 10 according to its resemblance to the target CT face , where 0 = no resemblance and 10 = highest resemblance. Facial reconstructions of all cases will be ranked by the total resemblance scores given by all observers to each reconstruction.
9. Statistical analysis of the results via spearman's Rank coefficient to assess and compare:
1. Facial reconstructions ranks given by the 2 groups of observers to assess the influence of previous experience in face identification on the ability of the observer to assess the accuracy of forensic facial reconstructions.
2. Facial reconstructions ranks given by subjective and objective assessment methods, thus compare the validity of both methods in assessing the accuracy of forensic facial reconstructions.
2. Acquisition of CT Scanned Head Images CT images are acquired by a computed tomography scanner.
3. Segmentation (i.e extraction) of a 3D images of the skull from CT Digital Imaging and Communications in Medicine (DICOM) files: via 3D slicer software and Simpleware (CT segmenting software) trial software.
4. Selection of Average Face Templates For each studied case, the facial reconstruction will be conducted using an average Caucasian face template that matches the studied skull, in terms of sex and age group selected.
5. Facial Reconstruction is performed using the patient segmented skull image and its matching average face template, and employing the present computer software program.
6. Segmentation (i.e extraction) of a 3D images of the face surface from CT DICOM files.
7. Objective Assessment of Facial Reconstructions for each case via objective surface superimposition between the extracted 3D facial image and the 3D reconstructed face using Robin's surface viewer software.
The sum of square differences (SSD) between the superimposed images will be calculated as an indication of the goodness of fit of the reconstructed face with the CT scanned face. The measured differences will then be correlated with the sum of scores given to each reconstructed face by subjective assessment.
8. Subjective Assessment by Volunteers Assessors Volunteer assessors will be approached in an attempt to evaluate the accuracy of the resulting reconstructed images. Two groups of assessors will be recruited; the first assessors will be experts with professional experience in face image identification (n=5), and the second group will comprise of participants inexperienced in forensic facial identification. The latter will be recruited from staff and students of Queen Mary University of London (QMUL) (n=20-30). All participants will be asked to sign a written confidentiality agreement.
1. Face Pool Test Construction The aim of face pool test in the present study is to assess the ability of observers to identify a target subject from a face pool of similar subjects. The face pool will be formed of computer generated faces, in 5 views (frontal, right lateral and left lateral, right ¾ and left ¾), included the extracted CT face of the target and these faces will be compared to the target facial reconstruction. Each observer will be asked to select one image from the test faces that best matches the target reconstructed face.
2. Resemblance Test Construction This test aims to compare and assess the similarity between the facial reconstruction and the CT face of a target subject using rating/ranking scale. Each observer will be asked to rate the target reconstructed face from 0 to 10 according to its resemblance to the target CT face , where 0 = no resemblance and 10 = highest resemblance. Facial reconstructions of all cases will be ranked by the total resemblance scores given by all observers to each reconstruction.
9. Statistical analysis of the results via spearman's Rank coefficient to assess and compare:
1. Facial reconstructions ranks given by the 2 groups of observers to assess the influence of previous experience in face identification on the ability of the observer to assess the accuracy of forensic facial reconstructions.
2. Facial reconstructions ranks given by subjective and objective assessment methods, thus compare the validity of both methods in assessing the accuracy of forensic facial reconstructions.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
Secondary ID Infos
| Secondary ID | Type | Domain | Link | View |
|---|---|---|---|---|
| Computed FFR using CT | OTHER | Queen Mary University of London | View |