Facial anatomy is complex, composed of intertwined structures such as fat, blood vessels, and nerves. In addition, a spatial understanding of the facial anatomy is critical for ensuring safe surgical and non-surgical procedures. Despite the employment of ultrasonographic images in anatomy class for comprehensive understanding, 2D images could not wholly represent the facial structure due to their limited, single-sliced view. Therefore, we suggest reconstructing 2D images into 3D using motion capture alongside ultrasonographic imaging. After reconstruction, facial structure could be observed on multi-angled aspects, hence supporting students and clinicians for accurate detection of anatomical structures. This would provide more accurate spatial information of the facial structure that could not be obtained from 2D ultrasonographic images, potentially ushering in a new paradigm in the facial anatomy.