Toward automatic C-arm positioning for standard projections in orthopedic surgery.

International Journal of Computer Assisted Radiology and Surgery
Lisa KauschKlaus Maier-Hein

Abstract

Guidance and quality control in orthopedic surgery increasingly rely on intra-operative fluoroscopy using a mobile C-arm. The accurate acquisition of standardized and anatomy-specific projections is essential in this process. The corresponding iterative positioning of the C-arm is error prone and involves repeated manual acquisitions or even continuous fluoroscopy. To reduce time and radiation exposure for patients and clinical staff and to avoid errors in fracture reduction or implant placement, we aim at guiding-and in the long-run automating-this procedure. In contrast to the state of the art, we tackle this inherently ill-posed problem without requiring patient-individual prior information like preoperative computed tomography (CT) scans, without the need of registration and without requiring additional technical equipment besides the projection images themselves. We propose learning the necessary anatomical hints for efficient C-arm positioning from in silico simulations, leveraging masses of 3D CTs. Specifically, we propose a convolutional neural network regression model that predicts 5 degrees of freedom pose updates directly from a first X-ray image. The method is generalizable to different anatomical regions and standa...Continue Reading

References

Mar 2, 2011·Radiographics : a Review Publication of the Radiological Society of North America, Inc·Oliver Johannes BottMichael Teistler
Apr 17, 2013·International Journal of Computer Assisted Radiology and Surgery·Marco NoldenIvo Wolf
May 27, 2014·International Orthopaedics·Christian BahrsFreude Thomas
Dec 9, 2014·Medical Image Computing and Computer-assisted Intervention : MICCAI·Pascal FallavollitaNassir Navab
Jun 3, 2017·Proceedings of SPIE·T De SilvaJ H Siewerdsen

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Citations

Oct 12, 2021·Global Spine Journal·GuanRui RenXiaoTao Wu
Jul 5, 2021·International Journal of Computer Assisted Radiology and Surgery·Artur BanachAaron McFadyen

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