scholarly journals A Systematic Analysis of Errors in Target Localization and Treatment Delivery for Stereotactic Radiosurgery Using 2D/3D Image Registration

2016 ◽  
Vol 16 (3) ◽  
pp. 321-331 ◽  
Author(s):  
Hao Xu ◽  
Stephen Brown ◽  
Indrin J. Chetty ◽  
Ning Wen
Keyword(s):  
Computed Tomography ◽  
Image Registration ◽  
Stereotactic Radiosurgery ◽  
Systematic Errors ◽  
Target Localization ◽  
Two Dimensional ◽  
3 Dimensional ◽  
Dimensional Image ◽  
Significant Difference ◽  
Standard Deviations

Purpose: To determine the localization uncertainties associated with 2-dimensional/3-dimensional image registration in comparison to 3-dimensional/3-dimensional image registration in 6 dimensions on a Varian Edge Linac under various imaging conditions. Methods: The systematic errors in 6 dimensions were assessed by comparing automatic 2-dimensional/3-dimensional (kV/MV vs computed tomography) with 3-dimensional/3-dimensional (cone beam computed tomography vs computed tomography) image registrations under various conditions encountered in clinical applications. The 2-dimensional/3-dimensional image registration uncertainties for 88 patients with different treatment sites including intracranial and extracranial were evaluated by statistically analyzing 2-dimensional/3-dimensional pretreatment verification shifts of 192 fractions in stereotactic radiosurgery and stereotactic body radiotherapy. Results: The systematic errors of 2-dimensional/3-dimensional image registration using kV–kV, MV–kV, and MV–MV image pairs were within 0.3 mm and 0.3° for the translational and rotational directions within a 95% confidence interval. No significant difference ( P > .05) in target localization was observed with various computed tomography slice thicknesses (0.8, 1, 2, and 3 mm). Two-dimensional/3-dimensional registration had the best accuracy when pattern intensity and content filter were used. For intracranial sites, means ± standard deviations of translational errors were −0.20 ± 0.70 mm, 0.04 ± 0.50 mm, and 0.10 ± 0.40 mm for the longitudinal, lateral, and vertical directions, respectively. For extracranial sites, means ± standard deviations of translational errors were −0.04 ± 1.00 mm, 0.2 ± 1.0 mm, and 0.1 ± 1.0 mm for the longitudinal, lateral, and vertical directions, respectively. Two-dimensional/3-dimensional image registration for intracranial and extracranial sites had comparable systematic errors that were approximately 0.2 mm in the translational direction and 0.08° in the rotational direction. Conclusion: The standard 2-dimensional/3-dimensional image registration tool available on the Varian Edge radiosurgery device, a state-of-the-art system, is helpful for robust and accurate target positioning for image-guided stereotactic radiosurgery.

scholarly journals A Phantom Study on Target Localization Accuracy Using Cone-Beam Computed Tomography

2008 ◽  
Vol 2 ◽  
pp. CMO.S808 ◽  
Author(s):  
Hui Yan ◽  
Liwei Zhang ◽  
Fang-Fang Yin
Keyword(s):  
Computed Tomography ◽  
Image Registration ◽  
Cone Beam Computed Tomography ◽  
Vertical Axis ◽  
Target Localization ◽  
Cone Beam ◽  
Detection Error ◽  
Localization Accuracy ◽  
3 Dimensional ◽  
Residual Errors

The purpose of this study is to evaluate the 3-dimensional target localization accuracy of cone-beam computed tomography (CBCT) using an on-board imager (OBI). An anthropomorphic pelvis phantom was used to simulate a range of offsets in the three translational directions and rotations around each of the three axes. After a translational or rotational offset was applied, a CBCT scan of the phantom was followed by image registration to detect the offsets in six degrees. The detected offsets were compared to the offset actually applied to give the detection error of the phantom position. Afterwards, the phantom was positioned by automatically moving the couch based on the detected offsets. A second CBCT scan followed by image registration was performed to give the residual error of the phantom positioning. On the average the detection errors and their standard deviations along the lateral, longitudinal and vertical axis are 0.3 ± 0.1, 0.3 ± 0.1 and 0.4 ± 0.1 mm respectively with respect to translational shifts ranging from 0 to 10 mm. The corresponding residual errors after positioning are 0.3 ± 0.1, 0.5 ± 0.1 and 0.3 ± 0.1 mm. For simulated rotational shifts ranging from 0 to 5 degrees, the average detection error and their standard deviation around lateral, longitudinal, and vertical axes are 0.1 ± 0.0, 0.2 ± 0.0, and 0.2 ± 0.0 degrees respectively. The residual errors after positioning are 0.4 ± 0.1, 0.6 ± 0.1, and 0.3 ± 0.1 mm along the lateral, longitudinal and vertical directions. These results indicate that target localization based on CBCT is capable of achieving sub-millimeter accuracy.

Pediatric Pedicle Screw Placement Using Intraoperative Computed Tomography and 3-Dimensional Image-Guided Navigation

Spine ◽  
2012 ◽  
Vol 37 (3) ◽  
pp. E188-E194 ◽  
Author(s):  
A. Noelle Larson ◽  
Edward R. G. Santos ◽  
David W. Polly ◽  
Charles G. T. Ledonio ◽  
Jonathan N. Sembrano ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Pedicle Screw ◽  
Screw Placement ◽  
Pedicle Screw Placement ◽  
Intraoperative Computed Tomography ◽  
3 Dimensional ◽  
Dimensional Image ◽  
Image Guided

Role of post-mapping computed tomography in virtual-assisted lung mapping

2017 ◽  
Vol 25 (2) ◽  
pp. 123-130 ◽  
Author(s):  
Masaaki Sato ◽  
Kazuhiro Nagayama ◽  
Hideki Kuwano ◽  
Jun-ichi Nitadori ◽  
Masaki Anraku ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Image Guidance ◽  
Virtual Bronchoscopy ◽  
3 Dimensional ◽  
Computed Tomography Images ◽  
Significant Difference ◽  
Marking Technique ◽  
The Difference ◽  
Dye Marking

Background Virtual-assisted lung mapping is a novel bronchoscopic preoperative lung marking technique in which virtual bronchoscopy is used to predict the locations of multiple dye markings. Post-mapping computed tomography is performed to confirm the locations of the actual markings. This study aimed to examine the accuracy of marking locations predicted by virtual bronchoscopy and elucidate the role of post-mapping computed tomography. Methods Automated and manual virtual bronchoscopy was used to predict marking locations. After bronchoscopic dye marking under local anesthesia, computed tomography was performed to confirm the actual marking locations before surgery. Discrepancies between marking locations predicted by the different methods and the actual markings were examined on computed tomography images. Forty-three markings in 11 patients were analyzed. Results The average difference between the predicted and actual marking locations was 30 mm. There was no significant difference between the latest version of the automated virtual bronchoscopy system (30.7 ± 17.2 mm) and manual virtual bronchoscopy (29.8 ± 19.1 mm). The difference was significantly greater in the upper vs. lower lobes (37.1 ± 20.1 vs. 23.0 ± 6.8 mm, for automated virtual bronchoscopy; p < 0.01). Despite this discrepancy, all targeted lesions were successfully resected using 3-dimensional image guidance based on post-mapping computed tomography reflecting the actual marking locations. Conclusions Markings predicted by virtual bronchoscopy were dislocated from the actual markings by an average of 3 cm. However, surgery was accurately performed using post-mapping computed tomography guidance, demonstrating the indispensable role of post-mapping computed tomography in virtual-assisted lung mapping.

scholarly journals Difference in glenoid retroversion between two-dimensional axial computed tomography and three-dimensional reconstructed images

2020 ◽  
Vol 23 (2) ◽  
pp. 71-79
Author(s):  
Hyungsuk Kim ◽  
Chang Hyun Yoo ◽  
Soo Bin Park ◽  
Hyun Seok Song
Keyword(s):  
Computed Tomography ◽  
Total Shoulder Arthroplasty ◽  
Three Dimensional ◽  
Ct Images ◽  
Body Axis ◽  
Reconstructed Image ◽  
Two Dimensional ◽  
Glenoid Version ◽  
Significant Difference ◽  
Scapular Body

Background: The glenoid version of the shoulder joint correlates with the stability of the glenohumeral joint and the clinical results of total shoulder arthroplasty. We sought to analyze and compare the glenoid version measured by traditional axial two-dimensional (2D) computed tomography (CT) and three-dimensional (3D) reconstructed images at different levels.Methods: A total of 30 cases, including 15 male and 15 female patients, who underwent 3D shoulder CT imaging was randomly selected and matched by sex consecutively at one hospital. The angular difference between the scapular body axis and 2D CT slice axis was measured. The glenoid version was assessed at three levels (midpoint, upper one-third, and center of the lower circle of the glenoid) using Friedman’s method in the axial plane with 2D CT images and at the same level of three different transverse planes using a 3D reconstructed image. Results: The mean difference between the scapular body axis on the 3D reconstructed image and the 2D CT slice axis was 38.4°. At the level of the midpoint of the glenoid, the measurements were 1.7° ± 4.9° on the 2D CT images and −1.8° ± 4.1° in the 3D reconstructed image. At the level of the center of the lower circle, the measurements were 2.7° ± 5.2° on the 2D CT images and −0.5° ± 4.8° in the 3D reconstructed image. A statistically significant difference was found between the 2D CT and 3D reconstructed images at all three levels. Conclusions: The glenoid version is measured differently between axial 2D CT and 3D reconstructed images at three levels. Use of 3D reconstructed imaging can provide a more accurate glenoid version profile relative to 2D CT. The glenoid version is measured differently at different levels.

scholarly journals Effect of Deformation Methods on the Accuracy of Deformable Image Registration From Kilovoltage CT to Tomotherapy Megavoltage CT

2019 ◽  
Vol 18 ◽  
pp. 153303381882118 ◽  
Author(s):  
Wannapha Nobnop ◽  
Imjai Chitapanarux ◽  
Somsak Wanwilairat ◽  
Ekkasit Tharavichitkul ◽  
Vicharn Lorvidhaya ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Nasopharyngeal Carcinoma ◽  
Image Registration ◽  
Deformable Image Registration ◽  
Adaptive Radiotherapy ◽  
Deformation Field ◽  
Registration Accuracy ◽  
Deformation Method ◽  
Computed Tomography Images ◽  
Significant Difference

Introduction: The registration accuracy of megavoltage computed tomography images is limited by low image contrast when compared to that of kilovoltage computed tomography images. Such issues may degrade the deformable image registration accuracy. This study evaluates the deformable image registration from kilovoltage to megavoltage images when using different deformation methods and assessing nasopharyngeal carcinoma patient images. Methods: The kilovoltage and the megavoltage images from the first day and the 20th fractions of the treatment day of 12 patients with nasopharyngeal carcinoma were used to evaluate the deformable image registration application. The deformable image registration image procedures were classified into 3 groups, including kilovoltage to kilovoltage, megavoltage to megavoltage, and kilovoltage to megavoltage. Three deformable image registration methods were employed using the deformable image registration and adaptive radiotherapy software. The validation was compared by volume-based, intensity-based, and deformation field analyses. Results: The use of different deformation methods greatly affected the deformable image registration accuracy from kilovoltage to megavoltage. The asymmetric transformation with the demon method was significantly better than other methods and illustrated satisfactory value for adaptive applications. The deformable image registration accuracy from kilovoltage to megavoltage showed no significant difference from the kilovoltage to kilovoltage images when using the appropriate method of registration. Conclusions: The choice of deformation method should be considered when applying the deformable image registration from kilovoltage to megavoltage images. The deformable image registration accuracy from kilovoltage to megavoltage revealed a good agreement in terms of intensity-based, volume-based, and deformation field analyses and showed clinically useful methods for nasopharyngeal carcinoma adaptive radiotherapy in tomotherapy applications.

Evaluation of Three-dimensional Image Registration Methodologies for In Vivo Micro-computed Tomography

2006 ◽  
Vol 34 (10) ◽  
pp. 1587-1599 ◽  
Author(s):  
Steven K. Boyd ◽  
Stephan Moser ◽  
Michael Kuhn ◽  
Robert J. Klinck ◽  
Peter L. Krauze ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Image Registration ◽  
Three Dimensional ◽  
Micro Computed Tomography ◽  
Dimensional Image

scholarly journals Two-dimensional ultrasound: can it replace computed tomography in liver volume assessment?

2019 ◽  
Vol 50 (1) ◽  
Author(s):  
Shimaa Farghaly ◽  
Marwa Makboul ◽  
Mahmoud Refaat Shehata
Keyword(s):  
Computed Tomography ◽  
Gold Standard ◽  
Preoperative Evaluation ◽  
Liver Volume ◽  
Age Groups ◽  
Volume Measurement ◽  
Volume Estimation ◽  
Two Dimensional ◽  
Volumetric Assessment ◽  
Significant Difference

Abstract Background Liver volume estimation is considered as an integral part in preoperative evaluation in patients undergoing liver transplantation; computed tomography and magnetic resonance imaging are considered the gold standard methods for liver volume estimation, and both are reliable and valid in determination of liver volume via manual and semi-automated methods. Reliable and accurate set of three simple measurement planes using two-dimensional ultrasound for volumetric assessment of liver was determined, and predictive equation using these three simple measurements was performed, which is simple to perform and easy to calculate, in order to evaluate liver volume and validate these measurements against CT images. Our aim in this study was to evaluate the efficacy and validity of two-dimensional ultrasound in liver volume estimation compared to CT volumetry as a gold standard. Results A strong linear positive correlation with no statistical significant difference was found between 2D US and semi-automated CT volumetric, and result was r = 0.7402 and p > 0.05, with an average liver volume of 1572.10 (± 326.43) cm3 and 1559.30 (± 381.02) cm3 respectively. No statistically significant difference was found also between the two modalities in different age groups and different sexes. Conclusion Simple linear two-dimensional ultrasound could be considered an efficient, accurate, and trustable tool for liver volume measurement in clinical practice.

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