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RI | Publications | Truly 3D Midsagittal Plane Extraction for Robust Neuroimage Registration
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Truly 3D Midsagittal Plane Extraction for Robust Neuroimage Registration
L. Teverovskiy and Y. Liu
tech. report CMU-RI-TR-04-21, Robotics Institute, Carnegie Mellon University, March, 2004.
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| Abstract |
This paper describes a robust algorithm for reliable ideal Midsagittal Plane extraction (iMSP) from 3D neuroimages. The algorithm makes no assumptions about initial orientation of a given 3D brain image and works reliably on neuroimages of normal brains as well as brains with significant pathologies. Presented technique is truly three-dimensional since we treat each neuroimage as a three-dimensional volume rather than a set of two-dimensional slices. We use an edge-based approach which employs cross-correlation to extract iMSP. This work also includes quantitative evaluation of the performance of the proposed algorithm when applied to a wide variety of real neuroimages. We find that our algorithm is able to extract iMSP from neuroimages with arbitrary initial orientations, large asymmetries, and low signal to noise ratio. We also demonstrate how presented algorithm can increase robustness of existing neuroimage registration algorithms, be it rigid, affine or less restricted deformable registration. Our algorithm was implemented using Insight Toolkit(ITK).
| Notes |
Grant ID: NIH grant R21 DA015900-01
Associated centers: VASC and MRTC
Associated labs/groups: Biomedical Image Analysis, Computational Symmetry, and Medical Robotics and Computer Assisted Surgery
Associated projects: A Statistical Quantification of Human Brain Asymmetry and Evaluation of MSP Extraction Algorithms
Number of pages: 27
| Text Reference |
L. Teverovskiy and Y. Liu, Truly 3D Midsagittal Plane Extraction for Robust Neuroimage Registration, tech. report CMU-RI-TR-04-21, Robotics Institute, Carnegie Mellon University, March, 2004.
| BibTeX Reference |
@techreport{Teverovskiy_2004_4629,
author = "Leonid Teverovskiy and Yanxi Liu",
title = "Truly 3D Midsagittal Plane Extraction for Robust Neuroimage Registration",
institution = "Robotics Institute, Carnegie Mellon University",
month = "March",
year = "2004",
number = "CMU-RI-TR-04-21",
address = "Pittsburgh, PA"
}