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Co‐registration of x‐ray and MR fields of view in a hybrid XMR system
Author(s) -
Yu Huanzhou,
Fahrig Rebecca,
Pelc Norbert J.
Publication year - 2005
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.20376
Subject(s) - fiducial marker , computer science , imaging phantom , calibration , noise (video) , process (computing) , nonlinear system , artificial intelligence , computer vision , physics , algorithm , nuclear medicine , image (mathematics) , optics , medicine , quantum mechanics , operating system
Purpose To validate one possible function of a real‐time x‐ray/MR (XMR) interface in a hybrid XMR system using x‐ray images as “scouts” to prescribe the MR slices. Materials and Methods The registration process consists of two steps: 1) calibration, in which the system's geometric parameters are found from fiducial‐based registration; and 2) application, in which the x‐ray image of a target structure and the estimated geometric parameters are used to prescribe an MR slice to observe the target structure. Errors from the noise in the location of the fiducial markers, and MR gradient nonlinearity were studied. Computer simulations were used to provide guidelines for fiducial marker placement and tolerable error estimation. A least‐squares‐based correction method was developed to reduce errors from gradient nonlinearity. Results In simulations with both sources of errors and the correction for gradient nonlinearity, the use of 16 fiducial markers yielded a mean error of about 0.4 mm over a 7200 cm 3 volume. Phantom scans showed that the prescribed target slice hit most of the target line, and that the length visualized was improved with the least‐squares correction. Conclusion The use of 16 fiducial markers to co‐register XMR FOVs can offer satisfactory accuracy in both simulations and experiments. J. Magn. Reson. Imaging 2005;22:291–301. © 2005 Wiley‐Liss, Inc.