Paper Info
Title
Motion Correction Via Nonrigid Coregistration of Dynamic MR Mammography Series
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 ANSYS (TM) 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.
Year
DOI
Venue
2006
10.1117/12.654680
Proceedings of SPIE
Keywords
Field
DocType
nonrigid registration,deformable models,motion correction,dynamic breast MRI,differential images,time-signal intensity curves
Voxel,Mammography,Computer vision,Fiducial marker,Segmentation,Interpolation,Maximum intensity projection,Artificial intelligence,Subtraction,Mathematics,Centroid
Conference
Volume
ISSN
Citations 
6144
0277-786X
1
PageRank 
References 
Authors
0.48
1
10
Name
Order
Citations
PageRank
Andrzej Krol1298.49
Alphonso Magri221.85
Mehmet Z. Unlu363.20
David H. Feiglin4188.32
Edward D. Lipson522.92
James A. Mandel663.54
Gwen Tillapaugh-Fay721.25
Wei Lee832.60
Ioana L. Coman9377.28
Nikolaus M Szeverenyi1071.00