Assistance to neurosurgical planning: using a fuzzy spatial graph model of the brain for locating anatomical targets in MRI

2007 ◽  
Author(s):  
Alice Villéger ◽  
Lemlih Ouchchane ◽  
Jean-Jacques Lemaire ◽  
Jean-Yves Boire
Keyword(s):  
Graph Model ◽  
Spatial Graph ◽  
Neurosurgical Planning ◽  
The Brain

Multimodal Risk-Based Path Planning for Neurosurgical Interventions

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Christian Kunz ◽  
Maximilian Gerst ◽  
Pit Henrich ◽  
Max Schneider ◽  
Michal Hlavac ◽  
...  
Keyword(s):  
User Interaction ◽  
Qualitative Evaluation ◽  
Modular Architecture ◽  
Holistic Model ◽  
Planning Time ◽  
Inherent Risk ◽  
Complex Anatomy ◽  
Neurosurgical Planning ◽  
Quantitative Performance ◽  
The Brain

Abstract Image-guided neurosurgical interventions are challenging due to the complex anatomy of the brain and the inherent risk of damaging vital structures. This paper presents a neurosurgical planning tool for safe and effective neurosurgical interventions, minimizing the risk through optimized access planning. The strengths of the proposed system are the integration of multiple risk structures combined into a holistic model for fast and intuitive user interaction, and a modular architecture. The tool is intended to support neurosurgeons to quickly determine the most appropriate surgical entry point and trajectory through the brain with minimized risk. The user interface guides a user through the decision-making process and may save planning time of neurosurgical interventions. The navigation tool has been interfaced to the Robot Operating System, which allows the integration into automated workflows and the planning of linear and nonlinear trajectories. Determined risk structures and trajectories can be visualized intuitively as a projection map on the skin or cortical surface. Two risk calculation modes (strict and joint) are offered to the neurosurgeons, depending on the intracranial procedure's type and complexity. A qualitative evaluation with clinical experts shows the practical relevance, while a quantitative performance and functionality analysis proves the robustness and effectiveness of the system.

Three-dimensional magnetic resonance images of the brain: application to neurosurgical planning

1990 ◽  
Vol 72 (3) ◽  
pp. 433-440 ◽  
Author(s):  
Xiaoping Hu ◽  
Kim K. Tan ◽  
David N. Levin ◽  
Simranjit Galhotra ◽  
John F. Mullan ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Three Dimensional ◽  
Preoperative Assessment ◽  
Magnetic Resonance Images ◽  
Interactive Software ◽  
Cross Sectional ◽  
Content Type ◽  
Brain Surface ◽  
Neurosurgical Planning ◽  
The Brain

✓ Data from single 10-minute magnetic resonance scans were used to create three-dimensional (3-D) views of the surfaces of the brain and skin of 12 patients. In each case, these views were used to make a preoperative assessment of the relationship of lesions to brain surface structures associated with movement, sensation, hearing, and speech. Interactive software was written so that the user could “slice” through the 3-D computer model and inspect cross-sectional images at any level. A surgery simulation program was written so that surgeons were able to “rehearse” craniotomies on 3-D computer models before performing the actual operations. In each case, the qualitative accuracy of the 3-D views was confirmed by intraoperative inspection of the brain surface and by intraoperative electrophysiological mapping, when available.

From libraries to wayfinding, waylosing, and symbolism

2021 ◽  
pp. 359-420
Author(s):  
Michael A. Arbib
Keyword(s):  
Public Library ◽  
Graph Model ◽  
Brain Regions ◽  
Place Cells ◽  
Cognitive Map ◽  
Symbolic Form ◽  
Symbolic Forms ◽  
Cell Recording ◽  
Getting Lost ◽  
The Brain

After demonstrating that a building is a system of systems, we examine the symbolism of certain libraries. A cognitive account of wayfinding uses the Seattle Public Library to analyze getting lost in buildings—which we contrast with waylosing as in exploration. Cognitive maps in the brain represent places and the means to find one’s way between them. Different “worlds” each have their own, modeled as a world graph (WG) with distinctive places represented by nodes, and paths represented by edges. Complementing this, a locometric map represents locomotor effort in getting from one place to another. Single-cell recording from rat hippocampus reveals place cells whose activity correlates with the place in which the animal finds itself. However, “place” here corresponds to location on a locometric map, rather than distinctive places of WG nodes. The taxon affordance model (TAM), models how one navigates without a cognitive map. Several brain regions are involved, but not hippocampus. The world graph model (WGM) makes essential use of the hippocampus in coordination with brain regions processing the relevant WG. Finally, we contrast symbolic form in buildings with the use of explicit signage. Oscar Niemeyer’s Brasilia Cathedral exemplifies how architects may achieve novel symbolic forms.

White matter fiber tracking in patients with space-occupying lesions of the brain: a new technique for neurosurgical planning?

NeuroImage ◽  
2003 ◽  
Vol 20 (3) ◽  
pp. 1601-1608 ◽  
Author(s):  
Chris A Clark ◽  
Thomas R Barrick ◽  
Mary M Murphy ◽  
B.Anthony Bell
Keyword(s):  
White Matter ◽  
Fiber Tracking ◽  
New Technique ◽  
Neurosurgical Planning ◽  
A New Technique ◽  
The Brain

scholarly journals ANALYSIS OF GRAPH CLUSTERING BASED NORMALIZED GRAPH CUT FOR IMAGE SEGMENTATION

2015 ◽  
pp. 291-296
Author(s):  
K. RAJU ◽  
DR.M.NARSING YADAV ◽  
M. MARIYADAS
Keyword(s):  
Image Segmentation ◽  
Graph Model ◽  
Optimal Solution ◽  
Image Data ◽  
Data Representation ◽  
Graph Cut ◽  
Test Cases ◽  
Feature Based ◽  
Human Eyes ◽  
The Brain

The humans have sense organs to sense the outside world. In these organs eyes are vital. The human eyes capture the light from the outside world and save the information as images in the brain. The human brain analyses the image data and gets the required information from the surroundings. Images are most prominent and easy way of representing a data. The art of representing information through the images is as old as the civilized man. Moreover the images can convey a clear data representation than the words or some other representation. Image segmentation is an old research topic, which has gained its importance in the past four decades. There are several previous methods for the segmentation. But there is no optimal solution for the judgment. This is because there is no specific benchmark for the judgment. In our project we propose a new method for the segmentation of an image called “The Normalized Graph Cut Segmentation”. It is a global view concept which considers image as a graph model. The segmentation is done by using the similarity measurement technique. The problems of over segmentation and effect of noise can be overcome by this technique. The method is tested for various test cases like the landscape images, texture based images, high density feature based images and the performance of the algorithm has been tabulated.

scholarly journals A Virtual Brain for Stereotactic Planning and Supporting Neurosurgery

2000 ◽  
Vol 4 (4) ◽  
pp. 71-82
Author(s):  
Zigang Wang ◽  
Zesheng Tang ◽  
Tianmiao Wang ◽  
Mengdong Chen ◽  
Da Liu ◽  
...  
Keyword(s):  
Assistive Technology ◽  
Computer Model ◽  
3D Model ◽  
Medical Instrument ◽  
Interior Structure ◽  
Robot Arm ◽  
Neurosurgical Planning ◽  
Medical Instruments ◽  
Visualization Technology ◽  
The Brain

Visualization has becoming a powerful assistive technology for neurosurgery. This paper introduces a system for stereotactic neurosurgical planning and support. Using visualization technology the system reconstructs and displays a 3D model of the interior structure of the patient's brain. Thus the surgeons can plan for surgery using a computer model. Marker registration is used to create the mapping between the patient's head and the brain model reconstructed in the computer. During the operation a robot arm is used as a navigator to locate the pre-defined incision site and the orientation of incision route. When the robot arm locates at the pre-defined site on the patient's head, it is fixed. Various medical instruments can be installed on the tip of the robot arm. The surgeon can insert a medical instrument into the pre-defined site of the patient's head, and the surgery can be implemented successfully with the help of this system. Using a virtual environment his system can also be used to teach and train new surgeons.

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