The study aims to gain insights into the three-dimensional and bidimensional anatomical changes resulting from surgical interventions performed by virtual surgical planning in the lower facial region with the purpose of facial feminization by evaluating specific cephalometric points. Materials and Methods: The project will be carried out through the analysis of computed tomography (CT) scans in a sample of 10 patients undergoing facial feminization processes in the lower facial third with the following osteotomies: genioplasty, mandibular angle reduction, sagittal bone cuts, and lateral cortex reduction of the mandibular body. The quantified variables will be performed on 13 anatomical landmarks for the lower facial third. All measurements will be made using the software Mimics (Materialise, Leuven, Belgium) of the patients in their original state (pre-surgical) and also will be carried out after the osteotomies are performed virtually. Results: Determine the volumetric and two-dimensional differences quantified to establish the reduction rate in facial feminization processes in the chin, lateral vertex, and mandible angles.

Advancing personalized care in heart valve treatment requires a comprehensive understanding of the leaflet biomechanics and geometry. The aortic valve, located between the left ventricle and thoracic aorta, usually has three leaflets called the tricuspid aortic valve. The mitral valve, between the left atrium and left ventricle, has two leaflets in its native state but three in artificial valves. The aortic valve opens during systole and closes during diastole, while the mitral valve exhibits the opposite pattern of valve dynamics. This research aims to investigate the leaflet geometries of artificial aortic and mitral valves using patient-specific cardiac-resolved computed tomography (CT) images and computational modeling. CT images have ten time frames, representing a complete cardiac cycle, acquired from patients who underwent heart valve replacement. By utilizing open-source software for medical imaging analysis, I generated the 3D models of the leaflets by extracting their boundaries for each cardiac frame. In the next step, I plan to utilize 3D CAD software to create an idealized tri-leaflets model and compare the efficacy of the two methods to finalize the methods for leaflet characterization, applicable for both post-operative mitral and aortic valves. Key parameters I plan to quantify include the valve area, which indicates the extent of valve opening and closing, leaflet mobility, such as the range of motion and coordination during the cardiac cycle, and valve coaptation, which denotes the proper alignment and closure of the leaflets. I expect to gain insights into various aspects of post-operative valves, and the accentuation of valve leaflets.