Optimization of spine surgery planning with 3D image templating tools

Augustine, Kurt E.; Huddleston, P.M.; Holmes, David R.; Shridharani, Shyam M.; Robb, Richard A.

doi:10.1117/12.769558

Cited by 4 publications

(3 citation statements)

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“…The reorientation is rapidly performed via a simple GUI that requires several mouse clicks in each of the sagittal and coronal views used to define a bounding box that fully encloses the vertebral body. This workflow helps establish a local, vertebra-centred, standardised coordinate system for consistent measurement of the pedicles and vertebral body which avoid oblique measurements resulting due to the spine curvature with respect to the CT image axis (Augustine et al 2008). Following realignment, the operator can interactively measure key parameters using the built-in interactive measurement tools, to get an initial estimate of the size of the implant to be selected.…”

Section: Procedures Planningmentioning

confidence: 99%

“…Herein we provide a brief overview of the platform infrastructure and capabilities disseminated in Augustine et al (2008Augustine et al ( , 2009Augustine et al ( , 2010 and focus on the formulation of the fastening strength metric, its integration into the platform as well as its assessment against retrospective pre-procedural plans and post-procedural outcome in several cases.…”

Section: Introductionmentioning

confidence: 99%

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Estimating pedicle screw fastening strength via a virtual templating platform for spine surgery planning: a retrospective preliminary clinical demonstration

Linte

Camp

Augustine

et al. 2014

Computer Methods in Biomechanics and Biomedical Engineering: Im

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III (2014): Estimating pedicle screw fastening strength via a virtual templating platform for spine surgery planning: a retrospective preliminary clinical demonstration, Traditional 2D images provide limited use for accurate planning of spine interventions, due to their inability to display the complex 3D spine anatomy and proximity of nerve bundles and vascular structures that must be avoided during the procedure. We have developed a platform for spine surgery planning that employs standard of care 3D preoperative images and enables oblique reformatting and 3D rendering of individual or multiple vertebrae, interactive templating and placement of virtual pedicle implants into the patient-specific computed tomography data. Here we propose a combined surrogate metric -the fastening strength -to provide estimates of the optimal implant selection and trajectory based on implant dimension and bone mineral density (BMD) of the displaced bone substrate. We conducted a retrospective clinical study based on pre-and post-operative data from four patients who underwent procedures involving pedicle screw implantation. We assessed the retrospective plans against the post-operative imaging data according to implant dimension, mean voxel intensity of implant trajectory, and fastening strength and showed consistency between the proposed plans and the postoperative procedure outcome. Our preliminary studies have demonstrated the feasibility of the platform in assisting the surgeon with the selection of appropriate size implant and trajectory that optimises fastening strength, given the intrinsic vertebral geometry and BMD.

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Section: Procedures Planningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimating pedicle screw fastening strength via a virtual templating platform for spine surgery planning: a retrospective preliminary clinical demonstration

Linte

Camp

Augustine

et al. 2014

Computer Methods in Biomechanics and Biomedical Engineering: Im

Self Cite

View full text Add to dashboard Cite

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“…This work focusses on volume compositing [17] and orthographic projection, which are both widely used clinically (for example, planning pedicle screw placement in the spine [1]). …”

Section: Ray-casting Implementationmentioning

confidence: 99%

Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures

Smelyanskiy

Holmes

Chhugani

et al. 2009

IEEE Trans. Visual. Comput. Graphics

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Abstract-Medical volumetric imaging requires high fidelity, high performance rendering algorithms. We motivate and analyze new volumetric rendering algorithms that are suited to modern parallel processing architectures. First, we describe the three major categories of volume rendering algorithms and confirm through an imaging scientist-guided evaluation that ray-casting is the most acceptable. We describe a thread-and data-parallel implementation of ray-casting that makes it amenable to key architectural trends of three modern commodity parallel architectures: multi-core, GPU, and an upcoming many-core Intel R architecture code-named Larrabee. We achieve more than an order of magnitude performance improvement on a number of large 3D medical datasets. We further describe a data compression scheme that significantly reduces data-transfer overhead. This allows our approach to scale well to large numbers of Larrabee cores.

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Medical imaging and virtual reality: a personal perspective

Robb

2008

Virtual Reality

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Optimization of spine surgery planning with 3D image templating tools

Cited by 4 publications

References 0 publications

Estimating pedicle screw fastening strength via a virtual templating platform for spine surgery planning: a retrospective preliminary clinical demonstration

Estimating pedicle screw fastening strength via a virtual templating platform for spine surgery planning: a retrospective preliminary clinical demonstration

Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures

Medical imaging and virtual reality: a personal perspective

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