TY - JOUR
T1 - Spatial transformation of motion and deformation fields using nonrigid registration
AU - Rao, A.
AU - Chandrashekara, R.
AU - Sanchez-Ortiz, G. I.
AU - Mohiaddin, R.
AU - Aljabar, P.
AU - Hajnal, J. V.
AU - Puri, B. K.
AU - Rueckert, D.
N1 - Funding Information:
Manuscript received October 31, 2003; revised March 26, 2004. The work of A. Rao was supported by the EPSRC under Grant GR/R36138/01. The work of R. Chandrashekara was supported by the EPSRC under Grant GR/N24919/01, The work of G. I. Sanchez-Ortiz was supported by the EPSRC under Grant GR/R41002/01. The work of P. Aljabar was supported by the EPSRC under Grant GR/S08916/01. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was C. Meyer. Asterisk indicates corresponding author. *A. Rao is with the Visual Information Processing Group, Department of Computing, Imperial College London, 180 Queen’s Gate, London SW7 2AZ, U.K. (e-mail: [email protected]).
PY - 2004/9
Y1 - 2004/9
N2 - 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.
AB - 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.
KW - Atlas
KW - Brain deformation
KW - Cardiac motion
KW - Conjugate map
KW - Diffeomorphism
KW - Numerical inverse
UR - http://www.scopus.com/inward/record.url?scp=4444270146&partnerID=8YFLogxK
U2 - 10.1109/TMI.2004.828681
DO - 10.1109/TMI.2004.828681
M3 - Article
C2 - 15377115
AN - SCOPUS:4444270146
SN - 0278-0062
VL - 23
SP - 1065
EP - 1076
JO - IEEE Transactions on Medical Imaging
JF - IEEE Transactions on Medical Imaging
IS - 9
ER -