STATISTICALLY ASSISTED FLUID IMAGE REGISTRATION ALGORITHM - SAFIRA

Overview

Journal Proc IEEE Int Symp Biomed Imaging

Publisher IEEE

Date 2018 Dec 18

PMID 30555622

Authors

Caroline C Brun

Natasha Lepore

Xavier Pennec

Yi-Yu Chou

Agatha D Lee

Marina Barysheva

Greig I de Zubicaray

Katie L McMahon

Margaret J Wright

Paul M Thompson

Affiliations

Soon will be listed here.

Abstract

In this paper, we develop and validate a new Statistically Assisted Fluid Registration Algorithm (SAFIRA) for brain images. A non-statistical version of this algorithm was first implemented in [2] and re-formulated using Lagrangian mechanics in [3]. Here we extend this algorithm to 3: given 3 brain images from a population, vector fields and their corresponding deformation matrices are computed in a first round of registrations using the non-statistical implementation. Covariance matrices for both the deformation matrices and the vector fields are then obtained and incorporated (separately or jointly) in the regularizing (i.e., the non-conservative Lagrangian) terms, creating four versions of the algorithm. We evaluated the accuracy of each algorithm variant using the manually labeled 40 dataset, which provides us with ground truth anatomical segmentations. We also compared the power of the different algorithms using tensor-based morphometry -a technique to analyze local volumetric differences in brain structure-applied to 46 3D brain scans from healthy monozygotic twins.

References

Durrleman S, Pennec X, Trouve A, Ayache N . Statistical models of sets of curves and surfaces based on currents. Med Image Anal. 2009; 13(5):793-808. DOI: 10.1016/j.media.2009.07.007. View

Holden M . A review of geometric transformations for nonrigid body registration. IEEE Trans Med Imaging. 2008; 27(1):111-28. DOI: 10.1109/TMI.2007.904691. View

Commowick O, Stefanescu R, Fillard P, Arsigny V, Ayache N, Pennec X . Incorporating statistical measures of anatomical variability in atlas-to-subject registration for conformal brain radiotherapy. Med Image Comput Comput Assist Interv. 2006; 8(Pt 2):927-34. DOI: 10.1007/11566489_114. View

Nichols T, Holmes A . Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapp. 2001; 15(1):1-25. PMC: 6871862. DOI: 10.1002/hbm.1058. View

Thompson P, Giedd J, Woods R, MacDonald D, Evans A, Toga A . Growth patterns in the developing brain detected by using continuum mechanical tensor maps. Nature. 2000; 404(6774):190-3. DOI: 10.1038/35004593. View