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Proceedings Paper

Motion correction via nonrigid coregistration of dynamic MR mammography series
Author(s): Andrzej Krol; Alphonso Magri; Mehmet Unlu; David Feiglin; Edward Lipson; James Mandel; Gwen Tillapaugh-Fay; Wei Lee; Ioana Coman; Nikolaus M. Szeverenyi
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Paper Abstract

The objectives of this investigation are to improve quality of subtraction MR breast images and improve accuracy of time-signal intensity curves (TSIC) related to local contrast-agent concentration in dynamic MR mammography. The patients, with up to nine fiducial skin markers (FSMs) taped to each breast, were prone with both breasts suspended into a single well that housed the receiver coil. After a preliminary scan, paramagnetic contrast agent gadopentate digmeglumine (Gd) was delivered intravenously, followed by physiological saline. The field of view was centered over the breasts. We used a gradient recalled echo (GRE) technique for pre-Gd baseline, and five more measurements at 60s intervals. Centroids were determined for corresponding FSMs visible on pre-Gd and any post-Gd images. This was followed by segmentation of breast surfaces in all dynamic-series images, and meshing of all post-Gd breast images. Tetrahedral volume and triangular surface elements were used to construct a finite element method (FEM) model. We used ANSYSTM software and an analogy between orthogonal components of the displacement field and the temperature differences in steady-state heat transfer (SSHT) in solids. The floating images were warped to a fixed image using an appropriate shape function for interpolation from mesh nodes to voxels. To reduce any residual misregistration, we performed surface matching between the previously warped floating image and the target image. Our method of motion correction via nonrigid coregistration yielded excellent differential-image series that clearly revealed lesions not visible in unregistered differential-image series. Further, it produced clinically useful maximum intensity projection (MIP) 3D images.

Paper Details

Date Published: 10 March 2006
PDF: 7 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614439 (10 March 2006); doi: 10.1117/12.654680
Show Author Affiliations
Andrzej Krol, SUNY Upstate Medical Univ. (United States)
Syracuse Univ. (United States)
Alphonso Magri, Syracuse Univ. (United States)
Mehmet Unlu, Syracuse Univ. (United States)
David Feiglin, SUNY Upstate Medical Univ. (United States)
Edward Lipson, Syracuse Univ. (United States)
SUNY Upstate Medical Univ. (United States)
James Mandel, Syracuse Univ. (United States)
Gwen Tillapaugh-Fay, SUNY Upstate Medical Univ. (United States)
Wei Lee, SUNY Upstate Medical Univ. (United States)
Ioana Coman, SUNY Upstate Medical Univ. (United States)
Syracuse Univ. (United States)
Ithaca College (United States)
Nikolaus M. Szeverenyi, SUNY Upstate Medical Univ. (United States)


Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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