Computer-assisted surgery and navigation in foot and ankle: state of the art and fields of application

Kutaish, Halah; Acker, Antoine; Drittenbass, Lisca; Stern, Richard; Assal, Mathieu

doi:10.1302/2058-5241.6.200024

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…A review of the current literature reveals limited applications of robotic arm CAS in foot and ankle surgery [ 38 , 39 ] ( Table 2 ). However, other clinical applications of robot technologies have been described.…”

Section: Clinical Applications In Foot and Ankle Surgerymentioning

confidence: 99%

“…However, other clinical applications of robot technologies have been described. Navigation-guidance using intraoperative 3D CTs with the O-Arm TM (Medtronic, Minneapolis, MN, USA) requires one 3D CT scan during initial registration and another scan after surgical correction for evaluation (i.e., assessing reduction and fixation) and additional correction if necessary [ 39 ]. Using the initial 3D CT reconstruction, the O-Arm TM provides real-time instrumented navigation via a reference frame fixed to the patient’s bone (with two 1.6 mm K-wires) that triangulates relative spatial position via infrared light reflected off of reflective spheres.…”

Section: Clinical Applications In Foot and Ankle Surgerymentioning

confidence: 99%

See 1 more Smart Citation

Robotic Technology in Foot and Ankle Surgery: A Comprehensive Review

Stauffer

Kim

Grant

et al. 2023

Sensors

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Recent developments in robotic technologies in the field of orthopaedic surgery have largely been focused on higher volume arthroplasty procedures, with a paucity of attention paid to robotic potential for foot and ankle surgery. The aim of this paper is to summarize past and present developments foot and ankle robotics and describe outcomes associated with these interventions, with specific emphasis on the following topics: translational and preclinical utilization of robotics, deep learning and artificial intelligence modeling in foot and ankle, current applications for robotics in foot and ankle surgery, and therapeutic and orthotic-related utilizations of robotics related to the foot and ankle. Herein, we describe numerous recent robotic advancements across foot and ankle surgery, geared towards optimizing intra-operative performance, improving detection of foot and ankle pathology, understanding ankle kinematics, and rehabilitating post-surgically. Future research should work to incorporate robotics specifically into surgical procedures as other specialties within orthopaedics have done, and to further individualize machinery to patients, with the ultimate goal to improve perioperative and post-operative outcomes.

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Section: Clinical Applications In Foot and Ankle Surgerymentioning

confidence: 99%

Section: Clinical Applications In Foot and Ankle Surgerymentioning

confidence: 99%

Robotic Technology in Foot and Ankle Surgery: A Comprehensive Review

Stauffer

Kim

Grant

et al. 2023

Sensors

View full text Add to dashboard Cite

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“…Three-dimensional (3D) rendering of biomedical volumes can be used to illustrate the diagnosis to patients, train inexperienced clinicians, or facilitate surgery planning for experts. [1][2][3][4][5][6][7] The most widely used rendering techniques are Maximum Intensity Projection (MIP) and Direct Volume Rendering (DVR). Recently, the Monte Carlo path tracing (MCPT) rendering technique which is based on the physical transport of light, was introduced.…”

Section: Introductionmentioning

confidence: 99%

Optimizing biomedical volume rendering: fractal dimension-based approach for enhanced performance

Denisova,

Bocchi

2024

Medical Imaging 2024: Clinical and Biomedical Imaging

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Three-dimensional (3D) rendering of biomedical volumes has become essential for faster comprehension of anatomy, better communication with patients, surgical planning, and training. However, depending on the algorithm, level of detail, volume size, and transfer function, rendering can be quite slow. A multi-target optimization method -voxelization -can be applied to biomedical volume rendering enhancement for empty space skipping, optimized maximum intensity calculation, and advanced Woodcock tracking. Empirical results indicate that the voxelization technique can increase the performance of Direct Volume Rendering (DVR) by up to 10 times, Monte Carlo Path Tracing (MCPT) by 5 times, and Maximum Intensity Projection (MIP) by 2 times of the original velocity. In this study, we investigate the influence of a 3D fractal dimension of the rendered volumes to the rendering speed and the optimal super voxel size, used in voxelization process, to guarantee the best performance of DVR, MCPT, and MIP, using voxelization. 3D fractal dimensions are calculated for five common transfer functions applied to the Cone-Beam Computed Tomography (CBCT) scans of exotic animals and human extremities (post mortem). Preliminary findings suggest that volumes rendered with similar transfer functions have comparable 3D fractal dimension and, moreover, there is a statistically significant relationship between the DVR and MCPT speed and the 3D fractal dimension. Furthermore, the structures with higher 3D fractal dimension require the smaller super voxel sizes for empty space skipping, meanwhile, optimized maximum intensity calculation and advanced Woodcock tracking are 3D fractal dimension independent. The research encourages the further exploration of the structural complexity to 3D rendering optimization for biomedical volumes.

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