Paper Info
Title
A method to track cortical surface deformations using a laser range scanner
Abstract
This paper reports a novel method to track brain shift using a laser-range scanner (LRS) and nonrigid registration techniques. The LRS used in this paper is capable of generating textured point-clouds describing the surface geometry/intensity pattern of the brain as presented during cranial surgery. Using serial LRS acquisitions of the brain's surface and two-dimensional (2-D) nonrigid image registration, we developed a method to track surface motion during neurosurgical procedures. A series of experiments devised to evaluate the performance of the developed shift-tracking protocol are reported. In a controlled, quantitative phantom experiment, the results demonstrate that the surface shift-tracking protocol is capable of resolving shift to an accuracy of approximately 1.6 mm given initial shifts on the order of 15 mm. Furthermore, in a preliminary in vivo case using the tracked LRS and an independent optical measurement system, the automatic protocol was able to reconstruct 50% of the brain shift with an accuracy of 3.7 mm while the manual measurement was able to reconstruct 77% with an accuracy of 2.1 mm. The results suggest that a LRS is an effective tool for tracking brain surface shift during neurosurgery.
Year
DOI
Venue
2005
10.1109/TMI.2005.848373
IEEE Trans. Med. Imaging
Keywords
Field
DocType
brain, deformation, image-guided surgery, mutual information, registration
Iterative reconstruction,Computer vision,System of measurement,Segmentation,Computer science,Imaging phantom,Image-guided surgery,Scanner,Mutual information,Artificial intelligence,Image registration
Journal
Volume
Issue
ISSN
24
6
0278-0062
Citations 
PageRank 
References 
32
1.54
20
Authors
8
Name
Order
Citations
PageRank
Tuhin K. Sinha116112.55
Benoit M. Dawant21388223.11
Valerie Duay31299.53
David M. Cash435928.35
Robert J. Weil5854.68
Reid Carleton Thompson6544.56
Kyle D. Weaver7605.57
Michael I. Miga856772.99