Brain Shift Estimation in Image-Guided Neurosurgery Using 3-D Ultrasound

2005 ◽  
Vol 52 (2) ◽  
pp. 268-276 ◽  
Author(s):  
M.M.J. Letteboer ◽  
P.W.A. Willems ◽  
M.A. Viergever ◽  
W.J. Niessen
Keyword(s):  
Brain Shift ◽  
Image Guided

scholarly journals Neurosurgery and brain shift: review of the state of the art and main contributions of robotics

TecnoLógicas ◽  
2017 ◽  
Vol 20 (40) ◽  
pp. 125-138
Author(s):  
Karin Correa-Arana ◽  
Oscar A. Vivas-Albán ◽  
José M. Sabater-Navarro
Keyword(s):  
Brain Tumor ◽  
State Of The Art ◽  
Image Guided Surgery ◽  
Medical Procedures ◽  
Brain Shift ◽  
Future Perspectives ◽  
Guided Surgery ◽  
Image Guided ◽  
Neuronavigation System ◽  
Minimal Invasion

This paper presents a review about neurosurgery, robotic assistants in this type of procedure, and the approach to the problem of brain tissue displacement, including techniques for obtaining medical images. It is especially focused on the phenomenon of brain displacement, commonly known as brain shift, which causes a loss of reference between the preoperative images and the volumes to be treated during image-guided surgery. Hypothetically, with brain shift prediction and correction for the neuronavigation system, minimal invasion trajectories could be planned and shortened. This would reduce damage to functional tissues and possibly lower the morbidity and mortality in delicate and demanding medical procedures such as the removal of a brain tumor. This paper also mentions other issues associated with neurosurgery and shows the way robotized systems have helped solve these problems. Finally, it highlights the future perspectives of neurosurgery, a branch of medicine that seeks to treat the ailments of the main organ of the human body from the perspective of many disciplines.

Minimizing Brain Shift in Stereotactic Functional Neurosurgery

2010 ◽  
Vol 67 (3) ◽  
pp. ons213-ons221 ◽  
Author(s):  
Erika A. Petersen ◽  
Etienne M. Holl ◽  
Irene Martinez-Torres ◽  
Thomas Foltynie ◽  
Patricia Limousin ◽  
...  
Keyword(s):  
Rating Scale ◽  
Electrode Placement ◽  
Brain Shift ◽  
Functional Neurosurgery ◽  
Image Guided ◽  
Subcortical Brain ◽  
Significant Difference ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri ◽  
Stn Dbs

Abstract BACKGROUND: Stereotactic functional neurosurgical interventions depend on precise anatomic targeting before lesioning or deep brain stimulation (DBS) electrode placement. OBJECTIVE: To examine the degree of subcortical brain shift observed when adopting an image-guided approach to stereotactic functional neurosurgery. METHODS: Coordinates for the anterior and posterior commissural points (AC and PC) were recorded on thin-slice stereotactic magnetic resonance imaging (MRI) scans performed before and immediately after DBS electrode implantation in 136 procedures. The changes in length of AC-PC and in stereotactic coordinates for AC and PC were calculated for each intervention. In patients with Parkinson disease undergoing bilateral subthalamic nucleus (STN) DBS with at least 6 months of follow-up, pre- and postoperative scores of the motor part of the Unified Parkinson's Disease Rating Scale (UPDRS-III) were reviewed. RESULTS: Mean (SD) change in AC-PC length (ΔAC-PC) was 0.6 (0.4) mm. There was no statistically significant difference in ΔAC-PC between groups when examining anatomic target subgroups (P =.95), age subgroups (P = .63), sex (P = .59), and unilateral versus bilateral implantation (P =.15). The mean (SD) vector changes for the commissural points were: -0.1 (0.3) mm in X, -0.4 (0.6) mm in Y, and -0.1 (0.7) mm in Z for the AC; and -0.1 (0.3) mm in X, -0.2 (0.7) mm in Y, and 0.0 (0.7) mm in Z for the PC. There was a negligible correlation between the magnitude of brain shift and percentage improvement in UPDRS-III off-medication in patients undergoing STN DBS for PD (R2 <0.01). CONCLUSION: Brain shift has long been considered an issue in stereotactic targeting during DBS procedures. However, with the image-guided approach and surgical technique used in this study, subcortical brain shift was extremely limited and did not appear to adversely affect clinical outcome.

Retractor-induced brain shift compensation in image-guided neurosurgery

2013 ◽  
Author(s):  
Xiaoyao Fan ◽  
Songbai Ji ◽  
Alex Hartov ◽  
David Roberts ◽  
Keith Paulsen
Keyword(s):  
Brain Shift ◽  
Image Guided

Integration of intraoperative stereovision imaging for brain shift visualization during image-guided cranial procedures

2014 ◽  
Author(s):  
Timothy J. Schaewe ◽  
Xiaoyao Fan ◽  
Songbai Ji ◽  
David W. Roberts ◽  
Keith D. Paulsen ◽  
...  
Keyword(s):  
Brain Shift ◽  
Image Guided

scholarly journals Intraoperative Imaging Modalities and Compensation for Brain Shift in Tumor Resection Surgery

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Siming Bayer ◽  
Andreas Maier ◽  
Martin Ostermeier ◽  
Rebecca Fahrig
Keyword(s):  
Intraoperative Imaging ◽  
Tumor Resection ◽  
Imaging Systems ◽  
Imaging Modalities ◽  
Neurosurgical Procedures ◽  
Brain Shift ◽  
Web Tool ◽  
Modeling Methods ◽  
Image Guided ◽  
Tissue Manipulation

Intraoperative brain shift during neurosurgical procedures is a well-known phenomenon caused by gravity, tissue manipulation, tumor size, loss of cerebrospinal fluid (CSF), and use of medication. For the use of image-guided systems, this phenomenon greatly affects the accuracy of the guidance. During the last several decades, researchers have investigated how to overcome this problem. The purpose of this paper is to present a review of publications concerning different aspects of intraoperative brain shift especially in a tumor resection surgery such as intraoperative imaging systems, quantification, measurement, modeling, and registration techniques. Clinical experience of using intraoperative imaging modalities, details about registration, and modeling methods in connection with brain shift in tumor resection surgery are the focuses of this review. In total, 126 papers regarding this topic are analyzed in a comprehensive summary and are categorized according to fourteen criteria. The result of the categorization is presented in an interactive web tool. The consequences from the categorization and trends in the future are discussed at the end of this work.

scholarly journals Knowledge modeling in image-guided neurosurgery: application in understanding intraoperative brain shift

2006 ◽  
Author(s):  
Julien Cohen-Adad ◽  
Perrine Paul ◽  
Xavier Morandi ◽  
Pierre Jannin
Keyword(s):  
Brain Shift ◽  
Knowledge Modeling ◽  
Image Guided
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