C-Arm Based Tomosynthesis for real-time Augmented Fluoroscopy imaging during Robotic Bronchoscopy

The widespread availability and use of computed tomography (CT) have led to increased nodule detection rate that prompted a need for improved technology to aid in diagnostic procedures. In the modern era of diagnostic bronchoscopy, there has been an advent of innovative platforms, including electromagnetic navigation bronchoscopy (ENB) and robotic-assisted bronchoscopy (RAB). However, bronchoscopists continue to have substantial challenges and have not achieved the diagnostic yield seen with a transthoracic approach [1]. One of the main reasons for this shortcoming is the presence of CT-Body Divergence (CTBD). Combining artificial intelligence (AI) guided real-time imaging such as C-arm Based tomosynthesis (CABT) with navigation platforms can potentially help improve diagnostic yield and accuracy.