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This work presents the performance and validation of an augmented reality (AR) system to help the surgeon for trocar placement in laparoscopic surgery. The virtual organs are obtained by taking previous computed tomography (CT) or magnetic resonance (MR) images of the patient and by applying segmentation methods. Once in the operating theater, a real-time image of the patient is captured with a regular camera that detects the patient’s pose (position + orientation) thanks to a marker that is centered on the navel. Then, 3D virtual organs are registered and fused with the real-time image, helping the surgeon to know the points, at where, to place the trocars. To validate the system’s accuracy and performance, a 3D jar-model is extracted from CT images which is then registered and fused with the real-time jar-image. An error of 2.91 millimeters is measured when the system accuracy is tested.

AUGMENTED REALITY SYSTEM FOR KEYHOLE SURGERY - Performance and Accuracy Validation