scholarly journals Effect of uncertainty on target registration error in image-guided renal interventions: from simulation to in-vitro assessment

2021 ◽  
Author(s):  
Peter Jackson ◽  
Richard Simon ◽  
Cristian Linte
Keyword(s):  
Registration Error ◽  
Target Registration Error ◽  
Image Guided ◽  
In Vitro Assessment

A Novel Surface Registration for Image-Guided Neurosurgery: Effects of Intervals of Points in Patient Space on Registration Accuracy

2020 ◽  
Vol 10 (6) ◽  
pp. 1466-1472
Author(s):  
Hakje Yoo ◽  
Ahnryul Choi ◽  
Hyunggun Kim ◽  
Joung Hwan Mun
Keyword(s):  
Success Rate ◽  
Point Cloud ◽  
Surgical Navigation ◽  
Spline Interpolation ◽  
Surface Registration ◽  
Registration Accuracy ◽  
Cubic Spline Interpolation ◽  
Registration Error ◽  
Target Registration Error ◽  
Image Guided

Surface registration is an important factor in surgical navigation in determining the success rate and stability of surgery by providing the operator with the exact location of a lesion. The problem of surface registration is that point cloud in the patient space is acquired at irregular intervals due to the operator’s tracking speed and method. The purpose of this study is to analyze the effect of irregular intervals of point cloud caused by tracking speed and method on the registration accuracy. For this study, we created the head phantom to obtain a point cloud in the patient space with a similar object to that of a patient and acquired a point cloud in a total of ten times. In order to analyze the accuracy of registration according to the interval, cubic spline interpolation was applied to the existing point cloud. Additionally, irregular intervals of the point cloud were regenerated into regular intervals. As a result of applying the regenerated point cloud to the surface registration, the surface registration error was not statistically different from the existing point cloud. However, the target registration error significantly lower (p < 0.01). These results indicate that the intervals of point cloud affect the accuracy of registration, and that point cloud with regular intervals can improve the surface registration accuracy.

SEMI-AUTONOMOUS NEEDLE-POSITIONING DEVICE FOR PERCUTANEOUS NEPHROLITHOTOMY PROCEDURES

2011 ◽  
Vol 11 (01) ◽  
pp. 177-203 ◽  
Author(s):  
JEAN-PIERRE CONRADIE ◽  
CORNIE SCHEFFER ◽  
KRISTIAAN SCHREVE ◽  
AMIR ZARRABI
Keyword(s):  
Percutaneous Nephrolithotomy ◽  
Cost Effective ◽  
Positioning System ◽  
Camera Model ◽  
Registration Error ◽  
Target Registration Error ◽  
Keyhole Surgery ◽  
Simulated Environment ◽  
Positioning Device

At present, manual needle-positioning techniques known as "triangulation" and "keyhole surgery" are implemented during percutaneous nephrolithotomy (PCNL) to gain initial kidney access. These techniques do not ensure correct needle placement inside the kidney, resulting in multiple needle punctures, unnecessary hemorrhage, excessive radiation exposure to all involved and increased surgery time. A cost-effective fluoroscopy-guided needle-positioning system is proposed for aiding urologists in gaining accurate and repeatable kidney calyx access. Guidance is realized by modeling a C-arm fluoroscopic system as an adapted pinhole camera model and utilizing stereovision principles on an image pair. Targeting is realized with the aid of a graphical user interface operated by the surgeon. An average target registration error of 2.5 mm (SD = 0.8 mm) was achieved in a simulated environment. Similar results were achieved in the operating room environment with successful needle access in two in-vitro porcine kidneys.

Distribution Templates of the Fiducial Points in Image-Guided Neurosurgery

2010 ◽  
Vol 66 (suppl_1) ◽  
pp. ons-143-ons-151
Author(s):  
Wang Manning ◽  
Song Zhijian
Keyword(s):  
Target Point ◽  
Easy Method ◽  
The Real ◽  
Point Pair ◽  
Registration Error ◽  
Target Registration Error ◽  
Image Guided ◽  
The Mean

Abstract Background: Point-pair registration is widely used in an image-guided neurosurgery system. Poor distribution of the fiducial points leads to an increase in the target registration error (TRE). Objective: This study aimed to provide templates consisting of optimized positioning of the fiducial points to reduce the TRE in image-guided neurosurgery. Methods: We divided the head into 6 regions and provided distribution templates of the fiducial points for each of them. A variable termed TREM(r) was used to express the approximate expected square of the TRE at the target point with a specified distribution of fiducial points. We randomly selected 85 patients from 5 hospitals who underwent image-guided neurosurgery and compared the TREM(r) of the real fiducial points with that of the templates. Results: We grouped the patients by hospitals and regions. The mean TREM(r)s of the templates were much smaller than those of the real fiducial points. In each group, the range of the TREM(r) values of the templates was much smaller than that of the real fiducial points. Conclusion: This study provides an easy method to implement a good distribution of the fiducial points to help reduce TRE in image-guided neurosurgery. The templates are simple and exact and can be easily integrated into current workflow.

Minimization of target registration error for vertebra in image-guided spine surgery

2013 ◽  
Vol 9 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Marzieh Ershad ◽  
Alireza Ahmadian ◽  
Nassim Dadashi Serej ◽  
Hooshang Saberi ◽  
Keyvan Amini Khoiy
Keyword(s):  
Spine Surgery ◽  
Registration Error ◽  
Target Registration Error ◽  
Image Guided

Effect of fiducial configuration on target registration error in image-guided cranio-maxillofacial surgery

2011 ◽  
Vol 39 (6) ◽  
pp. 407-411 ◽  
Author(s):  
Wenbin Zhang ◽  
Chenhao Wang ◽  
Hongbo Yu ◽  
Yuncai Liu ◽  
Guofang Shen
Keyword(s):  
Maxillofacial Surgery ◽  
Registration Error ◽  
Target Registration Error ◽  
Image Guided
Sign in / Sign up

Export Citation Format

Share Document