The use of virtual fiducials in image-guided kidney surgery

Courtenay Glisson; Rowena Ong; Amber Simpson; Peter Clark; S. Duke Herrell; Robert Galloway

doi:10.1117/12.877092

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1 March 2011 The use of virtual fiducials in image-guided kidney surgery

Courtenay Glisson, Rowena Ong, Amber Simpson, Peter Clark, S. Duke Herrell, Robert Galloway

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Proceedings Volume 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling; 796402 (2011) https://doi.org/10.1117/12.877092
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

The alignment of image-space to physical-space lies at the heart of all image-guided procedures. In intracranial surgery, point-based registrations can be used with either skin-affixed or bone-implanted extrinsic objects called fiducial markers. The advantages of point-based registration techniques are that they are robust, fast, and have a well developed mathematical foundation for the assessment of registration quality. In abdominal image-guided procedures such techniques have not been successful. It is difficult to accurately locate sufficient homologous intrinsic points in imagespace and physical-space, and the implantation of extrinsic fiducial markers would constitute "surgery before the surgery." Image-space to physical-space registration for abdominal organs has therefore been dominated by surfacebased registration techniques which are iterative, prone to local minima, sensitive to initial pose, and sensitive to percentage coverage of the physical surface. In our work in image-guided kidney surgery we have developed a composite approach using "virtual fiducials." In an open kidney surgery, the perirenal fat is removed and the surface of the kidney is dotted using a surgical marker. A laser range scanner (LRS) is used to obtain a surface representation and matching high definition photograph. A surface to surface registration is performed using a modified iterative closest point (ICP) algorithm. The dots are extracted from the high definition image and assigned the three dimensional values from the LRS pixels over which they lie. As the surgery proceeds, we can then use point-based registrations to re-register the spaces and track deformations due to vascular clamping and surgical tractions.

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Courtenay Glisson, Rowena Ong, Amber Simpson, Peter Clark, S. Duke Herrell, and Robert Galloway "The use of virtual fiducials in image-guided kidney surgery", Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 796402 (1 March 2011); https://doi.org/10.1117/12.877092

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