ENHANCING DENTAL CARE: A BREAKTHROUGH ALGORITHM FOR RESTORING SPHERICAL OCCLUSION SURFACES FROM DICOM IMAGING

Abstract

This study endeavors to pioneer an algorithmic approach for the retrieval of personalized spherical occlusion surfaces utilizing patient radiological DICOM data. The overarching goal is to rehabilitate structural elements within the chewing system that have been compromised or lost as a result of diseases, traumatic incidents, or suboptimal prosthetic interventions. The repercussions of such occurrences can manifest as debilitating disorders in the temporomandibular joint (TMJ), collectively referred to as temporomandibular disorders (TMD), with concomitant psychosocial ramifications for the affected individuals. Given the intricate nature of occlusal structure restoration, demanding a high level of medical expertise, the development of an algorithmic solution holds promise in enhancing precision and efficiency.

The algorithmic framework is designed to analyze radiological Digital Imaging and Communications in Medicine (DICOM) datasets with a focus on individualized spherical occlusion surfaces. Through advanced computational methodologies, the algorithm aims to discern and reconstruct structural components vital to the optimal functioning of the chewing system. The impetus behind this approach lies in addressing the diverse etiologies that contribute to occlusal damage, ranging from disease-induced degeneration to traumatic injuries and suboptimal prosthetic interventions.

The significance of this research extends beyond mere structural restoration, as the consequences of compromised occlusion often extend to severe TMJ disorders, affecting the overall well-being of the patient. Psychosocial implications, including challenges in speech, mastication, and aesthetics, underscore the critical need for effective and precise interventions. By harnessing the power of algorithmic analysis of DICOM data, this study seeks to provide a tailored and efficient solution to the intricate challenges posed by occlusal damage.

In conclusion, the proposed algorithm not only contributes to the field of dental restoration but also holds promise in mitigating the broader impact of occlusal compromise on TMJ health and psychosocial aspects. This research represents a pioneering step towards leveraging computational techniques to address complex dental challenges, offering a potential paradigm shift in the restoration of occlusal structures.