Facial reconstruction is an effective forensic technique that can help recreate a victim’s facial appearance from the skull. It is typically used to assist law enforcement agencies to identify missing deceased persons. Reconstruction techniques are usually based on the relationship between the underlying hard tissues, such as bone structure, and soft tissues such as the facial muscles and facial features. Facial reconstruction can be a feasible alternative to identify the remains from a decomposed, mutilated, or skeletonised corpse. It is important to remember that although the outcomes are empirical in nature, the technique has been applied widely in many situations. Recent advancements in technology and computer-based techniques have increased the accuracy and validity of this forensic discipline. We consider the most commonly used facial reconstruction techniques in this paper, with a detailed description of manual 3D techniques.

Introduction: Humans are sexually dimorphic. Identification of remnants of skeletal and decomposing parts of humans is one of the most difficult skills in forensic medicine. Forensic anthropologists can receive whole or fragmented skeletal remains. But the unique thing is that the maxillary sinus is intact within the skull, so maxillary sinus radiography is being used to identify remains and determine gender. Materials and Method: A total of 51 adult digital lateral cephalometric radiographs (20 males and 31 females) were included in the study. The maxillary sinus analysis was performed by measuring the height and width of these digital lateral cephalometric radiographs using measurement tools of Sidexis4 software. Maxillary sinus index was calculated, discriminant function analysis performed, and discriminant equation derived for determination of gender. Results: Comparison of maxillary sinus parameters (height and width) between male and female groups showed statistically insignificant differences in this study. Regression analysis is done and an equation is derived, which will aid in the prediction of gender by substituting the values of specific measurements in the equation.