scholarly journals Automated 3-Dimensional Brain Atlas Fitting to Microelectrode Recordings from Deep Brain Stimulation Surgeries

2009 ◽  
Vol 87 (4) ◽  
pp. 229-240 ◽  
Author(s):  
J. Luis Luján ◽  
Angela M. Noecker ◽  
Christopher R. Butson ◽  
Scott E. Cooper ◽  
Benjamin L. Walter ◽  
...  
2011 ◽  
Vol 70 (suppl_1) ◽  
pp. ons114-ons124 ◽  
Author(s):  
Nova B. Thani ◽  
Arul Bala ◽  
Christopher R. P. Lind

Abstract BACKGROUND: Accurate placement of a probe to the deep regions of the brain is an important part of neurosurgery. In the modern era, magnetic resonance image (MRI)-based target planning with frame-based stereotaxis is the most common technique. OBJECTIVE: To quantify the inaccuracy in MRI-guided frame-based stereotaxis and to assess the relative contributions of frame movements and MRI distortion. METHODS: The MRI-directed implantable guide-tube technique was used to place carbothane stylettes before implantation of the deep brain stimulation electrodes. The coordinates of target, dural entry point, and other brain landmarks were compared between preoperative and intraoperative MRIs to determine the inaccuracy. RESULTS: The mean 3-dimensional inaccuracy of the stylette at the target was 1.8 mm (95% confidence interval [CI], 1.5-2.1. In deep brain stimulation surgery, the accuracy in the x and y (axial) planes is important; the mean axial inaccuracy was 1.4 mm (95% CI, 1.1-1.8). The maximal mean deviation of the head frame compared with brain over 24.1 ± 1.8 hours was 0.9 mm (95% CI, 0.5-1.1). The mean 3-dimensional inaccuracy of the dural entry point of the stylette was 1.8 mm (95% CI, 1.5-2.1), which is identical to that of the target. CONCLUSION: Stylette positions did deviate from the plan, albeit by 1.4 mm in the axial plane and 1.8 mm in 3-dimensional space. There was no difference between the accuracies at the dura and the target approximately 70 mm deep in the brain, suggesting potential feasibility for accurate planning along the whole trajectory.


2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Michaël J. Bos ◽  
Wolfgang Buhre ◽  
Yasin Temel ◽  
Elbert A.J. Joosten ◽  
Anthony R. Absalom ◽  
...  

Neurosurgery ◽  
2009 ◽  
Vol 65 (4) ◽  
pp. 809-815 ◽  
Author(s):  
Geoffrey S. Young ◽  
Feng Feng ◽  
Hao Shen ◽  
Nan-kuei Chen

Abstract SURGICAL PLANNING FOR deep brain stimulation implantation procedures requires T1-weighted imaging (T1WI) for stereotactic navigation. Because the subthalamic nucleus, the main target for deep brain stimulation, and other midbrain nuclei cannot be visualized on the stereotactic guidance T1WI, additional T2-weighted imaging (T2WI) is generally obtained and registered to the T1WI for surgical targeting. Surgical planning based on the registration of the 2 data sets is subject to error resulting from inconsistent geometric distortions and any subject movement between the 2 scans. In this article, we propose a new method to produce susceptibility-enhanced, contrast-optimized T1-weighted 3-dimensional spoiled gradient recalled acquisition in steady state images with enhanced contrast for midbrain nuclei within the volumetric T1WI data set itself, eliminating the need for additional T2WI. The scan parameters of 3-dimensional spoiled gradient recalled acquisition in steady state are chosen in a way that T1WI can be obtained from conventional magnitude reconstruction and images with improved contrast between midbrain nuclei and surrounding tissues can be produced from the same data by performing susceptibility-weighted imaging reconstruction on a chosen region of interest. In addition, our preliminary experience suggests that the resulting contrast between the midbrain nuclei is superior to the current state-of-the-art fast spin echo T2WI in depicting the subthalamic nucleus as distinct from the substantia nigra pars reticulata and clear depiction of the nucleus ventrointermedius externus of thalamus.


2017 ◽  
Vol 64 (5) ◽  
pp. 1123-1130 ◽  
Author(s):  
Kyriaki Kostoglou ◽  
Konstantinos P. Michmizos ◽  
Pantelis Stathis ◽  
Damianos Sakas ◽  
Konstantina S. Nikita ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document