Frontal Segmentation and Evaluation (Bite Descriptor)
A bite descriptor refers to a set of measurable parameters used to describe the relationship and alignment between the upper and lower teeth when the jaw is closed. It typically includes metrics like overjet, overbite, midline deviation, crossbite, and occlusion classification, providing crucial information for diagnosing malocclusion and planning orthodontic treatments.
How does this API work
The API processes frontal images of the patient’s face or teeth. It first performs frontal segmentation, identifying and isolating key structures such as the upper teeth, lower teeth, and lips. After segmentation, the API conducts an evaluation step, where it analyzes the spatial relationships and alignment of the segmented structures to calculate various bite parameters. The result is a set of bite descriptors presented in numerical or categorical format, aiding in automated orthodontic assessment.
