scholarly journals Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Lara M. Vigneron ◽  
Ludovic Noels ◽  
Simon K. Warfield ◽  
Jacques G. Verly ◽  
Pierre A. Robe
Keyword(s):  
Biomechanical Model ◽  
Intraoperative Mri ◽  
Nonrigid Registration ◽  
Brain Shift ◽  
Mr Images ◽  
Brain Images ◽  
Model Driven ◽  
End To End ◽  
Over Time

Current neuronavigation systems cannot adapt to changing intraoperative conditions over time. To overcome this limitation, we present an experimental end-to-end system capable of updating 3D preoperative images in the presence of brain shift and successive resections. The heart of our system is a nonrigid registration technique using a biomechanical model, driven by the deformations of key surfaces tracked in successive intraoperative images. The biomechanical model is deformed using FEM or XFEM, depending on the type of deformation under consideration, namely, brain shift or resection. We describe the operation of our system on two patient cases, each comprising five intraoperative MR images, and we demonstrate that our approach significantly improves the alignment of nonrigidly registered images.

scholarly journals Robust nonrigid registration to capture brain shift from intraoperative MRI

2005 ◽  
Vol 24 (11) ◽  
pp. 1417-1427 ◽  
Author(s):  
O. Clatz ◽  
H. Delingette ◽  
I.-F. Talos ◽  
A.J. Golby ◽  
R. Kikinis ◽  
...  
Keyword(s):  
Intraoperative Mri ◽  
Nonrigid Registration ◽  
Brain Shift

Epiphyseal bone-marrow abnormalities and restitution in legg-calvé-perthes disease

1997 ◽  
Vol 38 (5) ◽  
pp. 855-862 ◽  
Author(s):  
P. Hochbergs ◽  
G. Eckervall ◽  
H. Wingstrand ◽  
N. Egund ◽  
K. Jonsson
Keyword(s):  
Bone Marrow ◽  
Mr Imaging ◽  
Perthes Disease ◽  
Mr Images ◽  
Group I ◽  
Radiological Classification ◽  
Signal Changes ◽  
Over Time ◽  
Epiphyseal Bone

Purpose: By means of MR imaging, to determine signal abnormalities in the femoral epiphysis; to determine their location, extent and restitution over time; and to correlate these findings to the Catterall radiological classification. Material and Methods: A total of 247 MR images in 86 patients (101 hips) with Legg-CalvC-Perthes disease were examined. The MR images were taken in the coronal plane, and the images through the center of the femoral head were used for this study. Results: T1-weighted images proved as good as T2-weighted images for the MR evaluation of the extent of the necrosis. In almost every case, the central-cranial part of the epiphysis showed a low initial signal. In Catterall group I, the medial part was never involved. In Catterall III and IV, almost the entire epiphysis showed signal changes. In the period 3–6 years after diagnosis, we still found signal changes in the epiphysis in some hips but there was no correlation with the Catterall classification. After 6 years, the epiphysis showed normal signal intensity in MR imaging. In T1-weighted images, Gd-enhancement occurred in the peripheral regions in the early stages of the disease. The central part of the epiphysis became more enhanced over time and peaked in the period 1–3 years after diagnosis. Conclusion: MR is a valuable modality for monitoring changes in the femoral epiphysis. We propose a new classification of the extent and pattern of epiphyseal bone-marrow abnormalities based on the 4 zones most commonly observed in MR imaging.

Brain shift: an error factor during implantation of deep brain stimulation electrodes

2007 ◽  
Vol 107 (5) ◽  
pp. 989-997 ◽  
Author(s):  
Yasushi Miyagi ◽  
Fumio Shima ◽  
Tomio Sasaki
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Brain Shift ◽  
Mr Images ◽  
Implanted Electrodes ◽  
Error Factor ◽  
Bilateral Surgery ◽  
Second Procedure ◽  
The Brain ◽  
Deep Brain

Object The goal of this study was to focus on the tendency of brain shift during stereotactic neurosurgery and the shift's impact on the unilateral and bilateral implantation of electrodes for deep brain stimulation (DBS). Methods Eight unilateral and 10 bilateral DBS electrodes at 10 nuclei ventrales intermedii and 18 subthalamic nuclei were implanted in patients at Kaizuka Hospital with the aid of magnetic resonance (MR) imaging–guided and microelectrode-guided methods. Brain shift was assessed as changes in the 3D coordinates of the anterior and posterior commissures (AC and PC) with MR images before and immediately after the implantation surgery. The positions of the implanted electrodes, based on the midcommissural point and AC–PC line, were measured both on x-ray films (virtual position) during surgery and the postoperative MR images (actual position) obtained on the 7th day postoperatively. Results Contralateral and posterior shift of the AC and PC were the characteristics of unilateral and bilateral procedures, respectively. The authors suggest the following. 1) The first unilateral procedure elicits a unilateral air invasion, resulting in a contralateral brain shift. 2) During the second procedure in the bilateral surgery, the contralateral shift is reset to the midline and, at the same time, the anteroposterior support by the contralateral hemisphere against gravity is lost due to a bilateral air invasion, resulting in a significant posterior (caudal) shift. Conclusions To note the tendency of the brain to shift is very important for accurate implantation of a DBS electrode or high frequency thermocoagulation, as well as for the prediction of therapeutic and adverse effects of stereotactic surgery.

VBNet: An End-to-end 3D Neural Network for Vessel Bifurcation Point Detection in Mesoscopic Brain Images

2021 ◽  
pp. 106567
Author(s):  
Yuxin Li ◽  
Tong Ren ◽  
Junhuai Li ◽  
Huaijun Wang ◽  
Xiangning Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Bifurcation Point ◽  
Brain Images ◽  
End To End ◽  
Point Detection

scholarly journals Image Updating for Brain Shift Compensation During Resection

2017 ◽  
Vol 14 (4) ◽  
pp. 402-411 ◽  
Author(s):  
Xiaoyao Fan ◽  
David W Roberts ◽  
Jonathan D Olson ◽  
Songbai Ji ◽  
Timothy J Schaewe ◽  
...  
Keyword(s):  
Biomechanical Model ◽  
Partial Resection ◽  
Computational Time ◽  
Brain Shift ◽  
Registration Errors ◽  
Brain Deformation ◽  
Preoperative Magnetic Resonance ◽  
Surgical Field ◽  
Image Pairs ◽  
Dural Opening

Abstract BACKGROUND In open-cranial neurosurgery, preoperative magnetic resonance (pMR) images are typically coregistered for intraoperative guidance. Their accuracy can be significantly degraded by intraoperative brain deformation, especially when resection is involved. OBJECTIVE To produce model updated MR (uMR) images to compensate for brain shift that occurred during resection, and evaluate the performance of the image-updating process in terms of accuracy and computational efficiency. METHODS In 14 resection cases, intraoperative stereovision image pairs were acquired after dural opening and during resection to generate displacement maps of the surgical field. These data were assimilated by a biomechanical model to create uMR volumes of the evolving surgical field. A tracked stylus provided independent measurements of feature locations to quantify target registration errors (TREs) in the original coregistered pMR and uMR as surgery progressed. RESULTS Updated MR TREs were 1.66 ± 0.27 and 1.92 ± 0.49 mm in the 14 cases after dural opening and after partial resection, respectively, compared to 8.48 ± 3.74 and 8.77 ± 4.61 mm for pMR, respectively. The overall computational time for generating uMRs after partial resection was less than 10 min. CONCLUSION We have developed an image-updating system to compensate for brain deformation during resection using a computational model with data assimilation of displacements measured with intraoperative stereovision imaging that maintains TREs less than 2 mm on average.

scholarly journals Intraoperative MRI for optimizing electrode placement for deep brain stimulation of the subthalamic nucleus in Parkinson disease

2016 ◽  
Vol 124 (1) ◽  
pp. 62-69 ◽  
Author(s):  
Zhiqiang Cui ◽  
Longsheng Pan ◽  
Huifang Song ◽  
Xin Xu ◽  
Bainan Xu ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Parkinson Disease ◽  
Subthalamic Nucleus ◽  
Brain Stimulation ◽  
Intraoperative Mri ◽  
Electrode Position ◽  
Brain Shift ◽  
Anatomical Position ◽  
Lead Placement ◽  
Deep Brain

OBJECT The degree of clinical improvement achieved by deep brain stimulation (DBS) is largely dependent on the accuracy of lead placement. This study reports on the evaluation of intraoperative MRI (iMRI) for adjusting deviated electrodes to the accurate anatomical position during DBS surgery and acute intracranial changes. METHODS Two hundred and six DBS electrodes were implanted in the subthalamic nucleus (STN) in 110 patients with Parkinson disease. All patients underwent iMRI after implantation to define the accuracy of lead placement. Fifty-six DBS electrode positions in 35 patients deviated from the center of the STN, according to the result of the initial postplacement iMRI scans. Thus, we adjusted the electrode positions for placement in the center of the STN and verified this by means of second or third iMRI scans. Recording was performed in adjusted parameters in the x-, y-, and z-axes. RESULTS Fifty-six (27%) of 206 DBS electrodes were adjusted as guided by iMRI. Electrode position was adjusted on the basis of iMRI 62 times. The sum of target coordinate adjustment was −0.5 mm in the x-axis, −4 mm in the y-axis, and 15.5 mm in the z-axis; the total of distance adjustment was 74.5 mm in the x-axis, 88 mm in the y-axis, and 42.5 mm in the z-axis. After adjustment with the help of iMRI, all electrodes were located in the center of the STN. Intraoperative MRI revealed 2 intraparenchymal hemorrhages in 2 patients, brain shift in all patients, and leads penetrating the lateral ventricle in 3 patients. CONCLUSIONS The iMRI technique can guide surgeons as they adjust deviated electrodes to improve the accuracy of implanting the electrodes into the correct anatomical position. The iMRI technique can also immediately demonstrate acute changes such as hemorrhage and brain shift during DBS surgery.

scholarly journals Cortical Surface Reconstruction from High-Resolution MR Brain Images

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Sergey Osechinskiy ◽  
Frithjof Kruggel
Keyword(s):  
High Resolution ◽  
Cortical Layer ◽  
Cortical Surface ◽  
Computationally Efficient ◽  
Mr Images ◽  
Brain Images ◽  
Standard Resolution ◽  
Geometric Deformable Model ◽  
Young Subjects ◽  
Mr Brain Images

Reconstruction of the cerebral cortex from magnetic resonance (MR) images is an important step in quantitative analysis of the human brain structure, for example, in sulcal morphometry and in studies of cortical thickness. Existing cortical reconstruction approaches are typically optimized for standard resolution (~1 mm) data and are not directly applicable to higher resolution images. A new PDE-based method is presented for the automated cortical reconstruction that is computationally efficient and scales well with grid resolution, and thus is particularly suitable for high-resolution MR images with submillimeter voxel size. The method uses a mathematical model of a field in an inhomogeneous dielectric. This field mapping, similarly to a Laplacian mapping, has nice laminar properties in the cortical layer, and helps to identify the unresolved boundaries between cortical banks in narrow sulci. The pial cortical surface is reconstructed by advection along the field gradient as a geometric deformable model constrained by topology-preserving level set approach. The method’s performance is illustrated on exvivo images with 0.25–0.35 mm isotropic voxels. The method is further evaluated by cross-comparison with results of the FreeSurfer software on standard resolution data sets from the OASIS database featuring pairs of repeated scans for 20 healthy young subjects.

scholarly journals Graphics Processing Unit–Accelerated Nonrigid Registration of MR Images to CT Images During CT-Guided Percutaneous Liver Tumor Ablations

2015 ◽  
Vol 22 (6) ◽  
pp. 722-733 ◽  
Author(s):  
Junichi Tokuda ◽  
William Plishker ◽  
Meysam Torabi ◽  
Olutayo I. Olubiyi ◽  
George Zaki ◽  
...  
Keyword(s):  
Liver Tumor ◽  
Graphics Processing Unit ◽  
Ct Images ◽  
Nonrigid Registration ◽  
Processing Unit ◽  
Mr Images ◽  
Ct Guided ◽  
Graphics Processing
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