Abstract:The spatial accuracy of magnetic resonance imaging (MRI) has not been established for stereotactic surgery. Magnetic susceptibility artifacts may lead to anatomical distortion and inaccurate stereotactic MRI coordinates, especially when targets are in regions of the brain out of the center of the magnetic field. MRI-guided stereotactic localization, however, provides better multiplanar target resolution than is available with computed tomographic (CT) scanning. Therefore, we compared the accuracy of stereotact… Show more
“…Indeed, it has been shown that the axis of the lead is slightly eccentric within the signal void [13], which can be as wide as 3.56 ± 0.3 mm [15], resulting in errors in the reconstruction of the electrode in the stereotactic space. Studies that compared contact localizations on postoperative MRI versus registration between preoperative MRI and postoperative CT scan found an error between 1.2 ± 0.86 mm [2] and 2.09 ± 1.79 mm [11], which is quite in the same range or slightly higher than our results. Finally, anatomical localization of the DBS lead contacts in the stereotactic space remains difficult to assess and has to be coupled with the clinical testing of the different contacts.…”
Section: Discussionsupporting
confidence: 55%
“…This method has been thoroughly compared to the localization of the lead on a postoperative MRI and is considered as acceptable to document the anatomic location of the electrode active contacts [1, 2, 5-10]. However, this technique introduces an error factor inherent with registration of two imaging modalities [11-13] and its results depend on the registration algorithm. As many surgical planning software programs are available, with different registration algorithms and for some of them an automatic lead detection device, we raised the question of the reproducibility of the results between software programs and aimed to compare the location of electrode contacts between four widely used planning devices.…”
Background: The control of the anatomic position of the active contacts is essential to understand the effects and adapt the settings of the neurostimulation. The localization is commonly assessed by a registration between the preoperative MRI and the postoperative CT scan. However, its accuracy depends on the quality of the registration algorithm and many software programs are available. Objective: To compare the localization of implanted deep brain stimulation (DBS) leads in the subthalamic nucleus (STN) between four registration devices. Methods: The preoperative stereotactic MRI was co-registered and fused with the 3-month postoperative CT scan in 27 patients implanted in the STN for Parkinson’s disease (53 leads). Localizations of the active contacts were calculated in the stereotactic frame space and compared between software programs. Results: The coordinates of the active contacts were different between software programs in the 3 axes (p < 0.001) with a mean vectorial error between the deepest contact locations of 1.17 mm (95% CI 1.09–1.25). Conclusion: We found a small but significant difference in the coordinates calculated on four different devices. These results have to be considered when performing studies comparing active contact locations or when following patients with an implanted DBS lead.
“…Indeed, it has been shown that the axis of the lead is slightly eccentric within the signal void [13], which can be as wide as 3.56 ± 0.3 mm [15], resulting in errors in the reconstruction of the electrode in the stereotactic space. Studies that compared contact localizations on postoperative MRI versus registration between preoperative MRI and postoperative CT scan found an error between 1.2 ± 0.86 mm [2] and 2.09 ± 1.79 mm [11], which is quite in the same range or slightly higher than our results. Finally, anatomical localization of the DBS lead contacts in the stereotactic space remains difficult to assess and has to be coupled with the clinical testing of the different contacts.…”
Section: Discussionsupporting
confidence: 55%
“…This method has been thoroughly compared to the localization of the lead on a postoperative MRI and is considered as acceptable to document the anatomic location of the electrode active contacts [1, 2, 5-10]. However, this technique introduces an error factor inherent with registration of two imaging modalities [11-13] and its results depend on the registration algorithm. As many surgical planning software programs are available, with different registration algorithms and for some of them an automatic lead detection device, we raised the question of the reproducibility of the results between software programs and aimed to compare the location of electrode contacts between four widely used planning devices.…”
Background: The control of the anatomic position of the active contacts is essential to understand the effects and adapt the settings of the neurostimulation. The localization is commonly assessed by a registration between the preoperative MRI and the postoperative CT scan. However, its accuracy depends on the quality of the registration algorithm and many software programs are available. Objective: To compare the localization of implanted deep brain stimulation (DBS) leads in the subthalamic nucleus (STN) between four registration devices. Methods: The preoperative stereotactic MRI was co-registered and fused with the 3-month postoperative CT scan in 27 patients implanted in the STN for Parkinson’s disease (53 leads). Localizations of the active contacts were calculated in the stereotactic frame space and compared between software programs. Results: The coordinates of the active contacts were different between software programs in the 3 axes (p < 0.001) with a mean vectorial error between the deepest contact locations of 1.17 mm (95% CI 1.09–1.25). Conclusion: We found a small but significant difference in the coordinates calculated on four different devices. These results have to be considered when performing studies comparing active contact locations or when following patients with an implanted DBS lead.
“…Identification of the electrode tip center is thus rendered difficult, especially in vertical planes. In addition, the anatomical distortion on MRI created by susceptibility artifacts [15,16] may render measures in proximity to the electrode less reliable and explain differences in regard to CT. On the other hand, CT reformations in coronal and sagittal planes imply the risk of artifacts (particularly step artifacts) harboring inaccuracies concerning measures realized in those planes. One drawback of our study was the non-homogeneous CT acquisition protocol (with slice thickness varying between 0.6 and 1.25 mm), although measures realized on images with thicker slices did not show greater errors.…”
“…Overall, it is generally agreed that an increased distance to the isocenter is associated with increased image distortion [12,14,19,20]. However, it is important to identify the main vector that causes the deviation.…”
Background: Magnetic resonance imaging (MRI) is replacing computed tomography (CT) as the main imaging modality for stereotactic transformations. MRI is prone to spatial distortion artifacts, which can lead to inaccuracy in stereotactic procedures. Objective: Modern MRI systems provide distortion correction algorithms that may ameliorate this problem. This study investigates the different options of distortion correction using standard 1.5-, 3- and 7-tesla MRI scanners. Methods: A phantom was mounted on a stereotactic frame. One CT scan and three MRI scans were performed. At all three field strengths, two 3-dimensional sequences, volumetric interpolated breath-hold examination (VIBE) and magnetization-prepared rapid acquisition with gradient echo, were acquired, and automatic distortion correction was performed. Global stereotactic transformation of all 13 datasets was performed and two stereotactic planning workflows (MRI only vs. CT/MR image fusion) were subsequently analysed. Results: Distortion correction on the 1.5- and 3-tesla scanners caused a considerable reduction in positional error. The effect was more pronounced when using the VIBE sequences. By using co-registration (CT/MR image fusion), even a lower positional error could be obtained. In ultra-high-field (7 T) MR imaging, distortion correction introduced even higher errors. However, the accuracy of non-corrected 7-tesla sequences was comparable to CT/MR image fusion 3-tesla imaging. Conclusion: MRI distortion correction algorithms can reduce positional errors by up to 60%. For stereotactic applications of utmost precision, we recommend a co-registration to an additional CT dataset.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.