Title :
Optimization of image registration and application to human disc mechanics with nucleotomy
Author :
Gerasimowicz, K.M. ; Yoder, J.H. ; Tustison, N.J. ; Song, G. ; O´Connell, G.D. ; Malhotra, N.R. ; Vresilovic, E.J. ; Wright, A.C. ; Gee, J.C. ; Elliott, D.M.
Author_Institution :
Dept. of Orthopaedic Surg., Univ. of Pennsylvania, Philadelphia, PA, USA
Abstract :
Introduction: Advanced Normalization Tools (ANTs) is an image registration program that has been validated for analysis of several tissues, but not previously applied to the disc. The objectives of this study were to optimize ANTs for disc image registration and to validate ANTs strain measurements by comparison with Vic2D, a commercially available software previously applied to quantify disc strain, before and after nucleotomy. Methods: Human lumbar motion segments (n = 5) underwent 1000 N compression before and after nucleotomy and MR images were acquired in a reference and deformed state. Image overlap statistics were used to select mapping parameters, and strain analysis was used to select the optimal number of splines. Once the optimal registration method was selected (elastic mapping, 0.01 outlier, 6×6 splines), axial and radial strains were measured in the AAF, PAF, and IVD. Results: Excellent overlap statistics were achieved. No significant differences were found for strains calculated with ANTs and Vic2D (p ≥ 0.35). With nucleotomy, the axial compressive strain increased in the PAF (p = 0.04) and there was a trend towards decrease in radial strain (p = 0.07). Discussion: ANTs is an accurate and powerful tool to calculate disc strains from MR images.
Keywords :
biological tissues; biomechanics; biomedical MRI; compressive strength; elasticity; image registration; medical image processing; strain measurement; surgery; ANT strain measurements; Advanced Normalization Tools; MR images; Vic2D comparison; axial compressive strain; compression; disc image registration; disc strain quantification; elastic mapping; human disc mechanics; human lumbar motion segments; image overlap statistics; image registration optimization; image registration program; mapping parameters; nucleotomy; radial compressive strain; strain analysis; tissue analysis; Humans; Image registration; Image segmentation; Pixel; Spline; Strain; Strain measurement;
Conference_Titel :
Bioengineering Conference (NEBEC), 2011 IEEE 37th Annual Northeast
Conference_Location :
Troy, NY
Print_ISBN :
978-1-61284-827-3
DOI :
10.1109/NEBC.2011.5778690