Truly 3D Midsagittal Plane Extraction for Robust Neuroimage Registration

Leonid Teverovskiy and Yanxi 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).

Keywords
neuroimage registration, symmetry, midsagittal plane

Notes
Grant ID: NIH grant R21 DA015900-01
Associated Center(s) / Consortia: Vision and Autonomous Systems Center and Medical Robotics Technology Center
Associated Lab(s) / Group(s): Medical Robotics and Computer Assisted Surgery, Computational Symmetry, Biomedical Image Analysis
Associated Project(s): A Statistical Quantification of Human Brain Asymmetry and Evaluation of MSP Extraction Algorithms
Number of pages: 27

Text Reference
Leonid Teverovskiy and Yanxi 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",
   booktitle = "",
   institution = "Robotics Institute",
   month = "March",
   year = "2004",
   number= "CMU-RI-TR-04-21",
   address= "Pittsburgh, PA",
}