Design of an EPICS-Driven Real-Time Control System for Dental CBCT Imaging and Dose Management

Dental cone-beam computed tomography (CBCT) provides high-resolution three-dimensional imaging but introduces concerns regarding patient radiation exposure [1]–[3]. While conventional dose optimization strategies rely on static protocols [4], [5], real-time adaptive control for CBCT remains largely unexplored [6], [9], [10]. This paper proposes a conceptual EPICS-driven real-time control architecture for dental CBCT imaging and dose management [7], [8]. The architecture introduces a supervisory control layer that interfaces with CBCT hardware, radiation monitoring systems, and adaptive optimization logic, enabling low-latency feedback and safety-aware operation without disrupting existing imaging pipelines [6], [9]. Key features include modular hardware abstraction, closed-loop dose management, and extensible supervisory interfaces for visualization and clinical oversight [7], [8]. Feasibility analysis indicates that the proposed framework is compatible with existing CBCT platforms, supports adaptive dose control within diagnostic constraints, and provides a foundation for future research into intelligent, patient-centric imaging systems [1]–[5]. Future work will focus on prototype implementation, digital twin-based validation, and integration with data-driven optimization strategies [6], [9], [7].