Renal biopsy under augmented reality guidance

Matthew Pfefferle; Sarah Shahub; Maysam Shahedi; Jeffrey Gahan; Brett Johnson; Phuc Le; Jose Vargas; Blake O. Judson; Yasmeen Alshara; Qinmei Li; Baowei Fei

doi:10.1117/12.2550593

16 March 2020 Renal biopsy under augmented reality guidance

Matthew Pfefferle, Sarah Shahub, Maysam Shahedi, Jeffrey Gahan, Brett Johnson, Phuc Le, Jose Vargas, Blake O. Judson, Yasmeen Alshara, Qinmei Li, Baowei Fei

Author Affiliations +

Proceedings Volume 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling; 113152W (2020) https://doi.org/10.1117/12.2550593
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

Kidney biopsies are currently performed using preoperative imaging to identify the lesion of interest and intraoperative imaging used to guide the biopsy needle to the tissue of interest. Often, these are not the same modalities forcing the physician to perform a mental cross-modality fusion of the preoperative and intraoperative scans. This limits the accuracy and reproducibility of the biopsy procedure. In this study, we developed an augmented reality system to display holographic representations of lesions superimposed on a phantom. This system allows the integration of preoperative CT scans with intraoperative ultrasound scans to better determine the lesion’s real-time location. An automated deformable registration algorithm was used to increase the accuracy of the holographic lesion locations, and a magnetic tracking system was developed to provide guidance for the biopsy procedure. Our method achieved a targeting accuracy of 2.9 ± 1.5 mm in a renal phantom study.

Citation Download Citation

Matthew Pfefferle, Sarah Shahub, Maysam Shahedi, Jeffrey Gahan, Brett Johnson, Phuc Le, Jose Vargas, Blake O. Judson, Yasmeen Alshara, Qinmei Li, and Baowei Fei "Renal biopsy under augmented reality guidance", Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113152W (16 March 2020); https://doi.org/10.1117/12.2550593

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