scholarly journals Understanding the Interactions with Image-Guidance System in Spine Navigated Surgery

Author(s):  
Khaldoun El Abed
2006 ◽  
Author(s):  
Mingyue Ding ◽  
Xiaoan Luo ◽  
Chao Cai ◽  
Chengping Zhou ◽  
Aaron Fenster

HPB ◽  
2019 ◽  
Vol 21 ◽  
pp. S671-S672
Author(s):  
C. Schneider ◽  
S. Thompson ◽  
K. Gurusamy ◽  
D. Stoyanov ◽  
D.J. Hawkes ◽  
...  

2002 ◽  
Vol 16 (4) ◽  
pp. 193-197 ◽  
Author(s):  
Marvin P. Fried ◽  
Vik M. Moharir ◽  
Jennifer Shin ◽  
Marta Taylor-Becker ◽  
Paul Morrison ◽  
...  

Background Image guidance based on preacquired computed tomography scans of the patient is a technique used to assist the physician during endoscopic sinus surgery (ESS). This study seeks to compare ESS with and without image guidance, analyzing a number of parameters that can impact on efficacy. Methods Retrospective chart review took place at a tertiary care referral center. The study group consisted of 97 consecutive patients confirmed to have undergone ESS using an electromagnetic intraoperative image guidance system (IGS). The control group consisted of 61 consecutive patients who underwent ESS, before the IGS was available at the study hospital. The main outcomes measured were analysis of patient profile, including coexisting conditions such as asthma and polyposis, assessment of which specific sinuses underwent surgical treatment; major and minor complications; estimated blood loss (EBL); operative time; and the need for repeat surgery. Results The IGS group had 74% of patients with polyposis; more sinuses, on average, which underwent surgical revision; one major and three minor complications; an average EBL of 134 cc, an average procedure time of 154 minutes; and one patient who needed repeat surgery in a 3-month follow-up period. The non-IGS group had 40% of patients with polyposis; seven major complications and one minor complication; an average EBL of 94 cc; and three patients who needed repeat surgery within 3 months. Conclusions The use of an IGS for endoscopic sinus surgery may reduce the complications associated with the procedure and allow for a more thorough operation. However, operative time and EBL may be increased.


2013 ◽  
Vol 18 (5) ◽  
pp. 479-483 ◽  
Author(s):  
Eric W. Nottmeier ◽  
Stephen M. Pirris

Object Transvertebral pedicle screws have successfully been used in the treatment of high-grade L5–S1 spondylolisthesis. An advantage of transvertebral pedicle screws is the purchase of multiple cortical layers across 2 vertebrae, thereby increasing the stability of the construct. At the lumbosacral junction, transvertebral pedicle screws have been shown to be biomechanically superior to pedicle screws placed in the standard fashion. The use of transvertebral pedicle screws at spinal levels other than L5–S1 has not been reported in the literature. The authors describe their technique of transvertebral pedicle screw placement in the thoracic spine using 3D image guidance. Methods Twelve patients undergoing cervicothoracic or thoracolumbar fusion had 41 thoracic transvertebral pedicle screws placed across 26 spinal levels using this technique. Indications for placement of thoracic transvertebral pedicle screws in earlier cases included osteoporosis and pedicle screw salvage. However, in subsequent cases screws were placed in patients undergoing multilevel thoracolumbar fusion without osteoporosis, particularly near the top of the construct. Image guidance in this study was accomplished using the Medtronic StealthStation S7 image guidance system used in conjunction with the O-arm. All patients were slated to undergo postoperative CT scanning at approximately 4–6 months for fusion assessment, which also allowed for grading of the transvertebral pedicle screws. Results No thoracic transvertebral pedicle screw placed in this study had to be replaced or repositioned after intraoperative review of the cone beam CT scans. Review of the postoperative CT scans revealed all transvertebral screws to be across the superior disc space with the tips in the superior vertebral body. Six pedicle screws were placed using the in-out-in technique in patients with narrow pedicles, leaving 35 screws that underwent breach analysis. No pedicle breach was noted in 34 of 35 screws. A Grade 1 (< 2 mm) medial breach was noted in 1 screw without clinical consequence. Solid fusion was observed across 25 of 26 spinal levels that underwent transvertebral screw placement including 7 spinal levels located at the top of a multilevel construct. Conclusions This report describes the authors' initial in vivo experience with the 3D image-guided placement of 41 thoracic transvertebral pedicle screws. Advantages of thoracic transvertebral screws include the purchase of 2 vertebral segments across multiple cortical layers. A high fusion rate was observed across spinal levels in which transvertebral screws were placed. A formal biomechanical study is needed to assess the biomechanical advantages of this technique and is currently being planned.


Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 198 ◽  
Author(s):  
Zilong Deng ◽  
Dongxiao Yang ◽  
Xiaohu Zhang ◽  
Yuguang Dong ◽  
Chengbo Liu ◽  
...  

The strap-down missile-borne image guidance system can be easily affected by the unwanted jitters of the motion of the camera, and the subsequent recognition and tracking functions are also influenced, thus severely affecting the navigation accuracy of the image guidance system. So, a real-time image stabilization technology is needed to help improve the image quality of the image guidance system. To satisfy the real-time and accuracy requirements of image stabilization in the strap-down missile-borne image guidance system, an image stabilization method based on optical flow and image matching with binary feature descriptors is proposed. The global motion of consecutive frames is estimated by the pyramid Lucas-Kanade (LK) optical flow algorithm, and the interval frames image matching based on fast retina keypoint (FREAK) algorithm is used to reduce the cumulative trajectory error. A Kalman filter is designed to smooth the trajectory, which is conducive to fitting to the main motion of the guidance system. Simulations have been carried out, and the results show that the proposed algorithm improves the accuracy and real-time performance simultaneously compared to the state-of-art algorithms.


2006 ◽  
Vol 105 (4) ◽  
pp. 561-567 ◽  
Author(s):  
Christopher R. Mascott

Object Image guidance systems involving the use of frameless referencing of surgical space to compile volumetric imaging data sets recently have come into widespread use. Few studies have addressed the true intraoperative surgical accuracy (that is, the application accuracy) of these systems except in a subjective manner. Calculated accuracies given by the systems do not necessarily reflect true intraoperative accuracy. Methods To objectively assess the stereotactic accuracy of a frameless image guidance system using optical spatial referencing, the author analyzed postoperative magnetic resonance (MR) images after placement of depth electrodes for the investigation of epilepsy. Preoperative planning for the treatment of seven patients included implanting skull fiducial screws and obtaining computed tomography/MR fusion images by using ImMerge image fusion software on the StealthStation (Medtronic, Inc.). A total of 42 electrodes were placed. Postoperative volumetric MR images were fused with preoperative study images. The difference between the planned electrode trajectories and targets and the visualized electrodes was measured in stereotactic space. Conclusions The mean distance between the distal electrode contact and the distal end of the planned trajectory for the 42 targets was 3 ± 1.5 mm. The most common error was in depth. The author’s technique did not involve rigid skull fixation of electrodes because they were subsequently tunneled subcutaneously and later removed at the bedside of the patient. Errors in depth were known to be due to traction at the time of tunneling and not due to stereotactic factors. Correcting for depth along the electrode trajectory, the mean accuracy was found to be 2.4 ± 1 mm.


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