Forensic Facial Approximation Research Articles

Automated reconstruction: Predictive models based on facial morphology matrices

Forensic Facial Approximation (FFA) has evolved, with techniques advancing to refine the intercorrelation between the soft-tissue facial profile and the underlying skull. FFA has become essential for identifying unknown persons in South Africa, where the high number of migrant and illegal labourers and many unidentified remains make the identification process challenging. However, existing FFA methods are based on American or European standards, rendering them inapplicable in a South African context. We addressed this issue by conducting a study to create prediction models based on the relationships between facial morphology and known factors, such as population affinity, sex, and age, in white South African and French samples. We retrospectively collected 184 adult cone beam computed tomography (CBCT) scans representing 76 white South Africans (29 males and 47 females) and 108 French nationals (54 males and 54 females) to develop predictive statistical models using a projection onto latent structures regression algorithm (PLSR). On training and untrained datasets, the accuracy of the estimated soft-tissue shape of the ears, eyes, nose, and mouth was measured using metric deviations. The predictive models were optimized by integrating additional variables such as sex and age. Based on trained data, the prediction errors for the ears, eyes, nose, and mouth ranged between 1.6 mm and 4.1 mm for white South Africans; for the French group, they ranged between 1.9 mm and 4.2 mm. Prediction errors on non-trained data ranged between 1.6 mm and 4.3 mm for white South Africans, whereas prediction errors ranging between 1.8 mm and 4.3 mm were observed for the French. Ultimately, our study provided promising predictive models. Although the statistical models can be improved, the inherent variability among individuals restricts the accuracy of FFA. The predictive validity of the models was improved by including sex and age variables and considering population affinity. By integrating these factors, more customized and accurate predictive models can be developed, ultimately strengthening the effectiveness of forensic analysis in the South African region.

Facial soft-tissue thickness in children: A study of a CTBC Brazilian sample

As an auxiliary method in the process of human identification, forensic facial approximation (FFA) is an important tool for identifying unknown human bodies whose remains do not present the necessary traceability to any antemortem data collection. Specific characteristics are necessary when addressing children aged between 6 and 10 years, who have little sexual differentiation and a mixed dentition. Due to the chronology of eruption of the permanent second molars in this population, it is not possible to measure facial soft-tissue thickness (FSTT) from specific landmarks such as supra and infra M2. The objective of this research was to report the method for measuring the average FSTT of 32 landmarks adapting the method for adults replacing the landmarks at the upper and lower second molars (Supra M2 and Infra M2) in children up to 10 years of age for a measurement using the deciduous second molars as reference. We found statistical differences for some points, considering the variables of age and sex, but with a maximum difference of 2 mm, which allows the use of a single FSTT table. The deciduous teeth can replace the reference of the thicknesses at the supra and infra M2 landmarks. In addition to the new FSTT data for children in Brazil, we concluded that the proposed adaptation to the deciduous M2 points can be applied to obtain soft-tissue data for 32 facial points.

Morphological Observation of the Alar Region between the Piriform Aperture and the Alar Soft Tissue for Facial Approximation (Reconstruction)

Prediction methods for regions not lined by facial bones are important elements of forensic anthropology, including forensic facial approximation. The alar region can be predicted by measuring the distances from the piriform margin and multiples of the piriform width. However, studies investigating this region are limited, and some only focus on one side of the alar region. Hence, we aimed to measure the bony points/landmarks to predict the alar region.Post-mortem computed tomography images of the samples from 180 Japanese individuals were obtained and analyzed. The images were processed using Osirix (Pixmeo). The coordinates recorded from all samples were calculated, and the values obtained were stratified by sex, laterality, age, body mass index, and cephalic index. The distances between the alar and the five piriform points were measured. The mean, standard deviation, and confidence interval of all samples were calculated, and the sex-related differences were determined. We evaluated the correlation between alares and other boney landmarks and points. Our findings were compared with those of previous studies. We observed significant sex differences (p < 0.01) and asymmetry (p < 0.01) in laterality in this region; hence, asymmetry was assessed based on these results. Compared with the results of previous studies, the obtained measurements were larger than those of a previous Asian study, suggesting that laterality may influence the accuracy of prediction methods for regions not lined by hard tissues.

Forensic facial approximation of an individual with achondroplasia from medieval cemetery in Central Europe

Achondroplasia (ACH, achondroplastic dwarfism) represents the most common form of skeletal dysplasia, occurring in c. 4 out of every 100,000 births. This study presents a computer-based facial approximation of the skull of a male individual living with ACH, who died at 30–45 years of age and was buried in Łekno, Poland between the 9th and 11th centuries AD. For the approximation procedure, soft tissue data from CT scans and ultrasonic measurements performed on living individuals were used. Additionally, an anatomical deformation technique was applied to arrive at the most reliable reconstruction of the achondroplastic individual's appearance. To our knowledge, this is the first facial depiction of a person with achondroplasia, and one of the few showing a head of an individual suffering from a hereditary disease, with dimensions and shape differing from the population average values.

Ludmila of Bohemia (ca. 860–921): Multidisciplinary considerations on her facial approximation

Ludmila of Bohemia or Saint Ludmila (ca. 860–921) is a popular religious figure from the Czech Republic. In 2021, the reliquary containing part of her skull was scanned and the missing portion of the structure was digitally reconstructed using references from anthropological studies carried out in the late 1990s by Dr. Emanuel Vlček, Ph.D. (1925–2006). From the completed skull, an estimation of facial hard tissue made a forensic facial approximation possible. The present study aims to present the sequence of methodological analysis, the development of new techniques and procedures used in this case that can become tools to facilitate the task of digitally restoring skulls with missing structures that can be applied in archeological and surgical context. The cranial hard tissue from an anonymous donor of a CT-Scan exam was “deformed” to fit onto the remains of the historical skull of Ludmila of Bohemia. The estimated facial proportions were tested by several methods that correlate the proportions of cranial structures. The reconstruction was performed based on several scientific parameters and the resulting structures were also consistent to predictors commonly used in the forensic field. The cranial deformation method provided a hard tissue estimation and gave reference to a facial approximation of a historical figure. Its development and testing may inspire future research to support a wide range of applications that goes from archaeology to medical usage.

Forensic Facial Approximation of 5000-Year-Old Female Skull from Shell Midden in Guar Kepah, Malaysia

Forensic facial approximation was applied to a 5000-year-old female skull from a shell midden in Guar Kepah, Malaysia. The skull was scanned using a computed tomography (CT) scanner in the Radiology Department of the Hospital Universiti Sains Malaysia using a Light Speed Plus scanner with a 1 mm section thickness in spiral mode and a 512 × 512 matrix. The resulting images were stored in Digital Imaging and Communications in Medicine (DICOM) format. A three-dimensional (3D) model of the skull was obtained from the CT scan data using Blender’s 3D modelling and animation software. After the skull was reconstructed, it was placed on the Frankfurt plane, and soft tissue thickness markers were placed based on 34 Malay CT scan data of the nose and lips. The technique based on facial approximation by data extracted from facial measurements of living individuals showed greater anatomical coherence when combined with anatomical deformation. The facial approximation in this study will pave the way towards understanding face prediction based on skull structures, soft tissue prediction rules, and soft tissue thickness descriptors.

ANALYTICAL METHODS OF DENTAL ANTHROPOLOGY & FORENSIC ODONTOLOGY –AN OVERVIEW

Dental Anthropology is a scientic discipline, which deals with studies of sexual dimorphism, paleodemography, oral evolutionary trends, paleodiet, biodistance and paleopathology through the analysis & comparison of the dentition of extinct and modern human populations by the study of Non-metric morphological variations (dental morphological features) and metric morphological trends of the dentition of human populations over time (prehistoric and modern) and space impact (ie.ethnic inuences) on them along-with their relation to the processes of adaptation and diet changes that contributed to the evolution of the current dental system and thereby the human race.(1,3,5) Teeth exhibit a wide array of variables, ranging from those largely controlled by genes to those largely dictated by environment. Anthropological questions focusing on teeth therefore, include issues of population origins and population relationships using information on (tooth morphology, size, number), diet and behavior (attrition, crown chipping, tooth-tool use), health (caries, abscesses, periodontal disease, calculus), and developmental stress (hypoplasia, asymmetry).Traits showing a wider distribution and higher frequency suggest a more ancient origin. (7) Apart from classical methods in this eld, many innovative techniques such as extraction of ancient DNA (aDNA), trace element and stable isotope analyses methods are used . Also, the analysis of development of microwear and confocal analyses of occlusal surfaces of teeth is done for documenting tooth use and masticatory function. Dental anthropologists and forensic odontologists can thus, together decipher problems associated with craniofacial identication & can also collaborate in museum model reconstructions out of skull bones for Forensic Facial Approximation.

Lip morphology estimation models based on three-dimensional images in a modern adult population from China

Lips are the main part of the lower facial soft tissue and are vital to forensic facial approximation (FFA). Facial soft tissue thickness (FSTT) and linear measurements in three dimensions are used in the quantitative analysis of lip morphology. With most FSTT analysis methods, the surface of soft tissue is unexplicit. Our study aimed to determine FSTT and explore the relationship between the hard and soft tissues of lips in different skeletal occlusions based on cone-beam CT (CBCT) and 3dMD images in a Chinese population. The FSTT of 11 landmarks in CBCT and 29 lip measurements in CBCT and 3dMD of 180 healthy Chinese individuals (90 males, 90 females) between 18 and 30years were analyzed. The subjects were randomly divided into two groups with different skeletal occlusions distributed equally: 156 subjects in the experimental group to establish the prediction regression formulae of lip morphology and 24 subjects in the test group to assess the accuracy of the formulae. The results indicated that FSTT in the lower lip region varied among different skeletal occlusions. Furthermore, sex discrepancy was noted in the FSTT in midline landmarks and linear measurements. Measurements showing the highest correlation between soft and hard tissues were between total upper lip height and Ns-Pr (0.563 in males, 0.651 in females). The stepwise multiple regression equations were verified to be reliable with an average error of 1.246mm. The method of combining CBCT with 3dMD provides a new perspective in predicting lip morphology and expands the database for FFA.

Using Computed Tomography (CT) Data to Build 3D Resources for Forensic Craniofacial Identification.

Forensic craniofacial identification encompasses the practices of forensic facial approximation (aka facial reconstruction) and craniofacial superimposition within the field of forensic art in the United States. Training in forensic facial approximation methods historically has used plaster copies, high-cost commercially molded skulls, and photographs. Despite the increased accessibility of computed tomography (CT) and the numerous studies utilizing CT data to better inform facial approximation methods, 3D CT data have not yet been widely used to produce interactive resources or reference catalogs aimed at forensic art practitioner use or method standardization. There are many free, open-source 3D software packages that allow engagement in immersive studies of the relationships between the craniofacial skeleton and facial features and facilitate collaboration between researchers and practitioners. 3D CT software, in particular, allows the bone and soft tissue to be visualized simultaneously with tools such as transparency, clipping, and volume rendering of underlying tissues, allowing for more accurate analyses of bone to soft tissue relationships. Analyses and visualization of 3D CT data can not only facilitate basic research into facial variation and anatomical relationships relevant for reconstructions but can also lead to improved facial reconstruction guidelines. Further, skull and face surface models exported in digital 3D formats allow for 3D printing of custom reference models and novel training materials and modalities for practitioners. This chapter outlines the 3D resources that can be built from CT data for forensic craniofacial identification methods, including how to view 3D craniofacial CT data and modify surface models for 3D printing.

Facial soft tissue thickness of the Japanese population determined using post mortem computed tomography images

Skull-photo superimposition (SPS) and forensic facial approximation (FFA) are techniques that help to determine facial soft tissue thickness in the Japanese population. The former is applied to existing samples from human skeletal remains, whereas the latter is applied as an estimation when a sample is not available. Both these forensic anthropological techniques are dependent on the mean value of facial soft tissue thickness (FSTT) with regard to ancestry, sex, and age. The positions of the orbits, ears, and nose are also used to estimate the FSTT. In Japan, some FSTT data have been reported. However, most of these data are based on the measurements of the midsagittal plane or were published before the 1950s. Initially, we aimed at establishing bilateral FSTT data (inclusive of the midsagittal plane) using 3D computed tomography (3DCT). However, the collection of 3DCT data involved the risk of radiation exposure. In Japan, some organizations obtained postmortem CT (PMCT) images prior to the autopsy of a deceased individual; therefore, we opted to collect, measure, and analyze these images instead of detecting the morphological differences in facial tissue. We updated the FSTT data of bilateral landmarks and compared the differences among three categories (sex, age, and body mass index). Even when the source of measurement was a cadaver, we obtained a measurement similar to that of living samples in the mid-to-upper face region. These findings are reported in this paper.

Facial soft tissue thickness differences among different vertical facial patterns

In forensic facial approximation, facial soft tissue thickness (FSTT) measurements play a major role. These values are affected by many factors such as ethnicity, age and sex, in addition to measurement errors. We hypothesize that an additional source of error is the lack of consideration of facial type in the assessment of FSTT norms.The purpose of this study was to: 1- evaluate the presence of significant effects of vertical facial type within the FSTT measurements in adults and 2- assess the correlations between FSTT and hard and soft tissue cephalometric measurements.The sample consisted of the lateral cephalometric radiographs of 222 adult individuals (87 males; 135 females, 23.49±6.24 years of age) with normal occlusion and balanced profiles. Hard and soft tissue cephalometric measurements were taken, in addition to FSST at 10 facial landmarks. The sample was categorized into 3 vertical pattern groups based on the MP/SN angle: hypodivergent, normodivergent and hyperdivergent. Statistical analyses included MANOVA test and Pearson moment product for associations among variables. Statistically significant effect of vertical divergence on FSTT values was limited to the levels of Stomion, Labiomentale and Pogonion and FSTT measurements were associated with measurements related to the lower face (Lm and Pog) Moderate to high correlations between mandibular length and ramus length and FSTT values related to the lower face (LL, Lm and Pog mainly) emphasize further the important role of the underlying skeleton.

Estimation of the mandibular dimensions from linear cranial measurements for use in craniofacial reconstruction: A preliminary study.

A missing mandible is a common problem in facial identification cases requiring forensic facial approximation or reconstruction. The Sassouni and Sassouni-Plus methods which are currently used to predict the missing mandible from the cranium produce low levels of accuracy. This study proposes a new method for the estimation of the overall dimensions of the mandible based upon linear cranial measurements, the proposed method has the potential to be utilised in the facial reconstruction of a range of adult skulls with dentition. 21 measurements were taken from a sample of 90 skulls, 44 male, 43 female and three juvenile, originating from 9 different geographical areas. Ordinary least-squares regression, hierarchical cluster analysis and analysis of variance (ANOVA) were used to investigate trends in the data and to produce equations for the estimation of condylar height, corpus length and anterior height. When tested the equations produced an overall mean error of 0.09mm with a standard deviation of ±4.84. The proposed method offers an improvement upon the currently used methods. It can be used to estimate the overall mandibular dimensions with a good level of accuracy.

Three-Dimensional Prediction of the Nose for Facial Approximation in a Thai Population.

Most of the previous studies about nose prediction were concentrated only some landmarks of the nose. This study aimed to generate prediction equations for ten landmarks of the nose in the midline and alar regions for forensic facial approximation. The six midline landmarks were the sellion, nasion-pronasale posterior, nasion-pronasale anterior, pronasale, nasal drop, and subnasale. The four landmarks of the alar region were the alare, superior alar groove, posterior alar groove, and inferior alar groove. We used the skull landmarks in the nasal, zygomatic, and maxillary bone to predict the landmarks of the nose. Cone-beam computed tomography scans of 108 Thai subjects with normal BMI and age ranging from 21.0 to 50.9years were obtained in a sitting position. The data were converted into three-dimensional (3-D) images of the skull and face. The Cartesian coordinates of the landmarks of the skull and nose were used to formulate the multiple regression equations. The formulated equations were tested in 24 new subjects. The mean differences in the predicted midline landmarks varied between -0.4mm and 0.5mm, whereas those for bilateral landmarks varied between -1.0mm and 1.4mm. In conclusion, the prediction equations formulated here will be beneficial for facial approximation of the nose in a Thai population.

Assessment of nasal profiles for forensic facial approximation in a modern Korean population of known age and sex.

The nose is a valuable facial feature for facial recognition and approximation. We propose the use of regression functions to predict nasal profiles comprising the structures around the piriform aperture using CT-based 3D models. We examined craniofacial reconstruction models acquired from computed tomographic images of Korean adults (188 males and 201 females). Eighteen measurements using 16 craniometric landmarks were measured on 3D craniofacial models. We conducted a descriptive analysis with comparisons according to sex, and simple linear regression analyses to obtain regression functions. Using multiple regression analyses with sex and age as independent variables, multiple regression equations were developed with coefficient of determination R2 ranging from 0.314 to 0.724, meaning that the equations for known sex and age were better for the prediction of nasal profiles than equations that assumed only known sex. These equations are useful and practical for reconstructing nasal profiles in forensic analyses.

Prediction of nasal morphology in facial reconstruction: Validation and recalibration of the Rynn method.

Prediction of the nose from the skull remains an important issue in forensic facial approximation. In 2010, Rynn et al. published a method of predicting nose projection from the skull. With this method, three craniometric measurements (x, y, z) are taken, and these are then used in regression formulae to estimate the nasal dimensions. The purpose of this study was to examine and test the accuracy of the Rynn et al. method and if necessary to adapt the formulae for this population. A sample of 90 CT scans of Turkish adults was used in the study. The actual and predicted dimensions were compared using t-test. The age of the individuals ranged from 20 to 40 years by sex. The descriptive statistics and correlations were calculated, and the actual and predicted measurements were compared. The differences between the actual and predicted values were statistically significant (p < 0.01), with -1 mm for males and -1.5 mm for females. Validation accuracies ranged from 76 to 92% in females and 72 to 82% in males. Recalibration equation accuracies ranged from 88 to 100% in females and 90 to 100% in males. The results showed that the recalibration of the Rynn et al. method and its formulae gave satisfactory results with less error and can be employed in facial approximation cases.

Forensic Facial Approximation: Study of the Nose in Brazilian Subjects.

Forensic facial approximation is an auxiliary method for human identification and allows facial recognition. The midface, that includes the nose, is vital for the recognition of a familiar face. The purpose of this study was to set hard tissue parameters to estimate nasal width, to test the method to estimate nasal width of Brazilians, and to analyze the relationship between nasal profile and facial type. A total of 246 computed tomography scans (183 females and 63 males) of adults were analyzed in Horos. Bone tissue measurements and facial type classification were performed on the skull scan. Nasal profile morphology was accessed through the tool 3D surface rendering. There was a difference around 3mm from real to predicted nose through the method to estimate nasal width in Brazilians. So, the method may be used in forensic practice. Straight nose was associated with long face type.

Midsagittal facial soft tissue thickness norms in an adult Mediterranean population

The use of facial soft tissue thickness (FSTT) values is essential in forensic facial approximation. Few studies have assessed the FSTT norms in Mediterranean populations and none in the Lebanese population. The purpose of this study was to (1) present midsagittal facial FSTT norms for Lebanese adults with well-balanced faces and normal occlusion; (2) evaluate the presence of sexual dimorphism within these measurements; (3) establish a potential correlation between these measurements and (4) build on the existing database of FSTT data from previously published studies. FSTT measurements at 10 midsagittal locations were obtained from the lateral cephalometric radiographs of 87 males and 135 females (mean age of 23.49±6.24years). In additional to means, Shorth and 75-Shormax values are presented. Differences between sexes were assessed using the MANOVA test and correlations between different measurements were computed. The thinnest (3.07±0.72mm) and thickest (15.61±2.38mm) craniofacial soft tissue measurements existed at Rhinion and Subnasale, respectively. There was a statistically significant and large effect of sex on the combined FSTT variables (p<0.001; eta-squared=0.393). Males displayed larger FSTT values at all landmarks except at Glabella (p=0.162). Significant correlations were observed between almost all measurements with the highest being between the upper and lower lips (r=0.763) and between Pogonion and Gnathion (r=0.784). The descriptive values of FSTT values reported in this study add to the body of research necessary for the enhancement of facial approximation methods The uniquely strong effects of sex on FSTT measurements combined and on selected single FSTT measurements are an area for further research.

Facial ageing in South African adult males

Knowledge of facial ageing is important in forensic facial approximation and photo identification. Previous studies mostly investigated facial ageing in European faces, and this research therefore aims to provide data on patterns of facial ageing in an African sample. One hundred eighty-nine black South African males aged 20 years and older were photographed in anterior and lateral views. Facial images were captured in a consistent position by using a Canon EOS 1300D camera and 18- to 55-mm EFS lens. Thirty individuals per decade were included, with the 80+ age category being limited to only nine participants. A facial ageing scoring system, based on previous research, was constructed for non-metric age changes such as appearance of wrinkles and sagging around the orbital area. Metric age changes such as ear lengthening and lip thinning were investigated separately. Results indicate that the ageing process in black South Africans has both similarities and differences to senescence described for European populations. Although most ageing features showed unidirectional change during time, these changes often occurred at a variable rate. Some features did not show a clear change with increasing age – these include mouth width increase, nasal elongation, nasal tip dropping, ear width increase and ear length increase. In addition to the age-feature correlations, an average face per decade was developed using Abrosoft FantaMorph Deluxe software. This provides a visual approximation of male South African faces captured at a single moment in time, as an aid for craniofacial depictions and facial image ageing in forensic practise.

Establishment of a prediction method for the mid-facial region of unknown human Mongoloid skeletal remains

Forensic facial approximation is a technique used to estimate the antemortem facial features of unknown skeletal remains. In recent years, many researchers have reported nasal tip predictions with positive results. However, the morphological nasal features of the skull can vary widely, and it is hard to obtain accurate values using facial approximation techniques. We assumed that these variations are due to an over-dependence on the values obtained from a single distance metric factor in an anatomical area. Measurements were acquired using cephalometric radiographic images obtained from 190 Japanese individuals (90 men, aged 18–36 years and 100 women, aged 18–46 years). Soft tissue and skeletal features were traced onto acetate sheets. The orbitale (Or), porion (Po), and the Frankfurt Horizontal Plane (FHP) were plotted in addition to the rhinion (Rhi), anterior nasal spine (ANS), subnasale (Sn), prosthion, and point-A (A). From these, the following were measured: a length from rhinion to prosthion; b length from rhinion to the intersection of a line perpendicular to the anterior nasal spine; c length from the prosthion to the intersection of a line perpendicular to the anterior nasal spine; g the proportion of d/b; and f the proportion of c/b. A calculation was generated from these measurements and from proportions of a–h, and applied to the samples. An R-squared (RSQ) test and standard error (SE) were used to compare the actual and predicted values. The errors observed between the predicted and actual values were not greater than 5mm in any of the samples; 91.3% and 71.2% of predicted Sn had an error lower than 2.5 and 1.5mm respectively, from the actual. Reliable results were obtained using the method in the present study.In addition, in the process of obtaining the measurements, we found reliable proportional differences between the sexes in the piriform and axillary alveolar regions.

Open-Source Tools for Dense Facial Tissue Depth Mapping of Computed Tomography Models

Computed tomography (CT) scans provide anthropologists with a resource to generate three-dimensional (3D) digital skeletal material to expand quantification methods and build more standardized reference collections. The ability to visualize and manipulate the bone and skin of the face simultaneously in a 3D digital environment introduces a new way for forensic facial approximation practitioners to access and study the face. Craniofacial relationships can be quantified with landmarks or with surface-processing software that can quantify the geometric properties of the entire 3D facial surface. This article describes tools for the generation of dense facial tissue depth maps (FTDMs) using deidentified head CT scans of modern Americans from the Cancer Imaging Archive public repository and the open-source program Meshlab. CT scans of 43 females and 63 males from the archive were segmented and converted to 3D skull and face models using Mimics and exported as stereolithography files. All subsequent processing steps were performed in Meshlab. Heads were transformed to a common orientation and coordinate system using the coordinates of nasion, left orbitale, and left and right porion. Dense FTDMs were generated on hollowed, cropped face shells using the Hausdorff sampling filter. Two new point clouds consisting of the 3D coordinates for both skull and face were colorized on an RGB (red-green-blue) scale from 0.0 (red) to 40.0-mm (blue) depth values and exported as polygon (PLY) file format models with tissue depth values saved in the "vertex quality" field. FTDMs were also split into 1.0-mm increments to facilitate viewing of common depths across all faces. In total, 112 FTDMs were generated for 106 individuals. Minimum depth values ranged from 1.2 mm to 3.4 mm, indicating a common range of starting depths for most faces regardless of weight, as well as common locations for these values over the nasal bones, lateral orbital margins, and forehead superior to the supraorbital border. Maximum depths were found in the buccal region and neck, excluding the nose. Individuals with multiple scans at visibly different weights presented the greatest differences within larger depth areas such as the cheeks and neck, with little to no difference in the thinnest areas. A few individuals with minimum tissue depths at the lateral orbital margins and thicker tissues over the nasal bones (>3.0 mm) suggested the potential influence of nasal bone morphology on tissue depths. This study produced visual quantitative representations of the face and skull for forensic facial approximation research and practice that can be further analyzed or interacted with using free software. The presented tools can be applied to preexisting CT scans, traditional or cone beam, adult or subadult individuals, with or without landmarks, and regardless of head orientation, for forensic applications as well as for studies of facial variation and facial growth. In contrast with other facial mapping studies, this method produced both skull and face points based on replicable geometric relationships, producing multiple data outputs that are easily readable with software that is openly accessible.