Literature DB >> 15377115

Spatial transformation of motion and deformation fields using nonrigid registration.

A Rao1, R Chandrashekara, G I Sanchez-Ortiz, R Mohiaddin, P Aljabar, J V Hajnal, B K Puri, D Rueckert.   

Abstract

In this paper, we present a technique that can be used to transform the motion or deformation fields defined in the coordinate system of one subject into the coordinate system of another subject. Such a transformation accounts for the differences in the coordinate systems of the two subjects due to misalignment and size/shape variation, enabling the motion or deformation of each of the subjects to be directly quantitatively and qualitatively compared. The field transformation is performed by using a nonrigid registration algorithm to determine the intersubject coordinate system mapping from the first subject to the second subject. This fixes the relationship between the coordinate systems of the two subjects, and allows us to recover the deformation/motion vectors of the second subject for each corresponding point in the first subject. Since these vectors are still aligned with the coordinate system of the second subject, the inverse of the intersubject coordinate mapping is required to transform these vectors into the coordinate system of the first subject, and we approximate this inverse using a numerical line integral method. The accuracy of our numerical inversion technique is demonstrated using a synthetic example, after which we present applications of our method to sequences of cardiac and brain images.

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Year:  2004        PMID: 15377115     DOI: 10.1109/TMI.2004.828681

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  7 in total

1.  Population based analysis of directional information in serial deformation tensor morphometry.

Authors:  Colin Studholme; Valerie Cardenas
Journal:  Med Image Comput Comput Assist Interv       Date:  2007

2.  Time sequence diffeomorphic metric mapping and parallel transport track time-dependent shape changes.

Authors:  Anqi Qiu; Marilyn Albert; Laurent Younes; Michael I Miller
Journal:  Neuroimage       Date:  2008-11-07       Impact factor: 6.556

3.  Simulation of spatiotemporal CT data sets using a 4D MRI-based lung motion model.

Authors:  Mirko Marx; Jan Ehrhardt; René Werner; Heinz-Peter Schlemmer; Heinz Handels
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-12-10       Impact factor: 2.924

4.  Validation of a nonrigid registration error detection algorithm using clinical MRI brain data.

Authors:  Ryan D Datteri; Yuan Liu; Pierre-Francois D'Haese; Benoit M Dawant
Journal:  IEEE Trans Med Imaging       Date:  2014-07-30       Impact factor: 10.048

Review 5.  Cardiac image integration implications for atrial fibrillation ablation.

Authors:  Jasbir Sra
Journal:  J Interv Card Electrophysiol       Date:  2008-03-25       Impact factor: 1.900

6.  Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors.

Authors:  Gengsheng L Zeng; Edward V DiBella
Journal:  Vis Comput Ind Biomed Art       Date:  2020-04-23

7.  Sparse-view tomography via displacement function interpolation.

Authors:  Gengsheng L Zeng
Journal:  Vis Comput Ind Biomed Art       Date:  2019-11-12
  7 in total

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