Automatic registration of intraoperative MRI for surgical navigation— a phantom study

2004 ◽  
Vol 1268 ◽  
pp. 1285
Author(s):  
Arya Nabavi ◽  
T. Schaefter ◽  
A. Schmittgen ◽  
S. Wolff ◽  
R. Werner ◽  
...  
2008 ◽  
Vol 139 (2_suppl) ◽  
pp. P143-P144
Author(s):  
Nozomu Matsumoto ◽  
Jaesung Hong ◽  
Hashizume Makoto ◽  
Shizuo Komune

Objectives 1) Develop a less invasive but accurate enough registration strategy for otological surgical navigation. 2) Evaluate the new system in phantom study. 3) Evaluate the new system in cochlear implant surgeries. Methods A new registration method was developed for otologic surgery. Previously, the registration for accurate image-guided surgery often required invasive fiducial markers attached on patient's bone. We utilized the template of the bone surface to transfer the pre-made virtual bone-anchored markers to the patient's bone intraoperatively and eliminated the necessity for preoperative marker positioning or preoperative additional CT scan. Results We tested this Surface Template-Assisted Marker Positioning (STAMP) method using 5 temporal bone replicas, and in 5 ear surgeries (2 cochlear implants, 3 translabyrinthine acoustic neuroma surgeries) to investigate whether this method improves, or at least retains, the accuracy of image- guided surgery (IGS). The fiducial registration errors and target registration errors in the phantom study was ∼0.7 mm and ∼1.5 mm, respectively. The target registration errors in replicas were always less than 2 mm. In actual ear surgeries the fiducial registration errors were ∼0.6 mm and the target registration errors were less than 2 mm in 4 of 5 surgeries. All patients received successful cochlear implantation or tumor removal. Conclusions The new method reduced the preoperative procedures for patients but did not reduce the accuracy of the surgical navigation. Our method would be a useful IGS method in the field of otology where both accuracy and non-invasiveness are required.


2016 ◽  
Vol 76 ◽  
pp. 375-385 ◽  
Author(s):  
Qinyong Lin ◽  
Rongqian Yang ◽  
Ken Cai ◽  
Xuan Si ◽  
Xiuwen Chen ◽  
...  

2021 ◽  
Vol 15 ◽  
Author(s):  
Wenjie Li ◽  
Jingfan Fan ◽  
Shaowen Li ◽  
Zhaorui Tian ◽  
Zhao Zheng ◽  
...  

Three-dimensional scanners have been widely applied in image-guided surgery (IGS) given its potential to solve the image-to-patient registration problem. How to perform a reliable calibration between a 3D scanner and an external tracker is especially important for these applications. This study proposes a novel method for calibrating the extrinsic parameters of a 3D scanner in the coordinate system of an optical tracker. We bound an optical marker to a 3D scanner and designed a specified 3D benchmark for calibration. We then proposed a two-step calibration method based on the pointset registration technique and nonlinear optimization algorithm to obtain the extrinsic matrix of the 3D scanner. We applied repeat scan registration error (RSRE) as the cost function in the optimization process. Subsequently, we evaluated the performance of the proposed method on a recaptured verification dataset through RSRE and Chamfer distance (CD). In comparison with the calibration method based on 2D checkerboard, the proposed method achieved a lower RSRE (1.73 mm vs. 2.10, 1.94, and 1.83 mm) and CD (2.83 mm vs. 3.98, 3.46, and 3.17 mm). We also constructed a surgical navigation system to further explore the application of the tracked 3D scanner in image-to-patient registration. We conducted a phantom study to verify the accuracy of the proposed method and analyze the relationship between the calibration accuracy and the target registration error (TRE). The proposed scanner-based image-to-patient registration method was also compared with the fiducial-based method, and TRE and operation time (OT) were used to evaluate the registration results. The proposed registration method achieved an improved registration efficiency (50.72 ± 6.04 vs. 212.97 ± 15.91 s in the head phantom study). Although the TRE of the proposed registration method met the clinical requirements, its accuracy was lower than that of the fiducial-based registration method (1.79 ± 0.17 mm vs. 0.92 ± 0.16 mm in the head phantom study). We summarized and analyzed the limitations of the scanner-based image-to-patient registration method and discussed its possible development.


2017 ◽  
Vol 126 (5) ◽  
pp. 1622-1628 ◽  
Author(s):  
Christian Dorfer ◽  
Georgi Minchev ◽  
Thomas Czech ◽  
Harald Stefanits ◽  
Martha Feucht ◽  
...  

OBJECTIVEThe authors' group recently published a novel technique for a navigation-guided frameless stereotactic approach for the placement of depth electrodes in epilepsy patients. To improve the accuracy of the trajectory and enhance the procedural workflow, the authors implemented the iSys1 miniature robotic device in the present study into this routine.METHODSAs a first step, a preclinical phantom study was performed using a human skull model, and the accuracy and timing between 5 electrodes implanted with the manual technique and 5 with the aid of the robot were compared. After this phantom study showed an increased accuracy with robot-assisted electrode placement and confirmed the robot's ability to maintain stability despite the rotational forces and the leverage effect from drilling and screwing, patients were enrolled and analyzed for robot-assisted depth electrode placement at the authors' institution from January 2014 to December 2015. All procedures were performed with the S7 Surgical Navigation System with Synergy Cranial software and the iSys1 miniature robotic device.RESULTSNinety-three electrodes were implanted in 16 patients (median age 33 years, range 3–55 years; 9 females, 7 males). The authors saw a significant increase in accuracy compared with their manual technique, with a median deviation from the planned entry and target points of 1.3 mm (range 0.1–3.4 mm) and 1.5 mm (range 0.3–6.7 mm), respectively. For the last 5 patients (31 electrodes) of this series the authors modified their technique in placing a guide for implantation of depth electrodes (GIDE) on the bone and saw a significant further increase in the accuracy at the entry point to 1.18 ± 0.5 mm (mean ± SD) compared with 1.54 ± 0.8 mm for the first 11 patients (p = 0.021). The median length of the trajectories was 45.4 mm (range 19–102.6 mm). The mean duration of depth electrode placement from the start of trajectory alignment to fixation of the electrode was 15.7 minutes (range 8.5–26.6 minutes), which was significantly faster than with the manual technique. In 12 patients, depth electrode placement was combined with subdural electrode placement. The procedure was well tolerated in all patients. The authors did not encounter any case of hemorrhage or neurological deficit related to the electrode placement. In 1 patient with a psoriasis vulgaris, a superficial wound infection was encountered. Adequate physiological recordings were obtained from all electrodes. No additional electrodes had to be implanted because of misplacement.CONCLUSIONSThe iSys1 robotic device is a versatile and easy to use tool for frameless implantation of depth electrodes for the treatment of epilepsy. It increased the accuracy of the authors' manual technique by 60% at the entry point and over 30% at the target. It further enhanced and expedited the authors' procedural workflow.


2015 ◽  
Vol 53 (08) ◽  
Author(s):  
R Kubale ◽  
T Fuhrmann ◽  
A Arslanow ◽  
F Frenzel ◽  
P Minko ◽  
...  

2020 ◽  
Author(s):  
Salman Al Qazlan ◽  
Muath Alfallaj ◽  
Mody Almarshad ◽  
Abdullah Alobaid

2020 ◽  
Author(s):  
PF Costa ◽  
F Süßelbeck ◽  
A Bramer ◽  
M Conti ◽  
M Weber ◽  
...  

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