Title | ||
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X-ray mammography – MRI registration using a volume-preserving affine transformation and an EM-MRF for breast tissue classification |
Abstract | ||
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Registration of MR volumes to X-ray mammograms is a clinically valuable task, as each modality provides complementary information on normal and abnormal breast tissue structure and function We propose an intensity-based technique with a 3D volume-preserving affine transformation An important part of our framework is the use of an Expectation-Maximization (EM) algorithm, with a Markov Random Field (MRF) regularization, that is used for breast tissue classification and subsequently the mapping of the MR intensities to X-ray attenuation Initially, the proposed framework was tested on simulated X-ray data, where the goal was to register the original undeformed MRI to a simulated X-ray that was produced using a real compression image, acquired from volunteers in the MR scanner (8 cases) Since the ground truth in this case can be estimated from individually defined landmarks, we have evaluated the mean reprojection error, which was 3.83mm The algorithm was then applied and evaluated visually on 5 cases that had both X-ray mammograms and MRIs. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-13666-5_4 | Digital Mammography / IWDM |
Keywords | Field | DocType |
x-ray mammograms,mr intensity,mri registration,simulated x-ray,breast tissue classification,simulated x-ray data,mr scanner,proposed framework,abnormal breast tissue structure,volume-preserving affine transformation,mr volume,x-ray mammography,x-ray attenuation,density,em algorithm,expectation maximization,affine transformation,ground truth | Affine transformation,Mammography,Computer vision,Reprojection error,Pattern recognition,Structure and function,Markov random field,Regularization (mathematics),Ground truth,Artificial intelligence,Scanner,Mathematics | Conference |
Volume | ISSN | ISBN |
6136 | 0302-9743 | 3-642-13665-6 |
Citations | PageRank | References |
5 | 0.73 | 8 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thomy Mertzanidou | 1 | 57 | 7.99 |
John H. Hipwell | 2 | 243 | 32.58 |
Cardoso M. Jorge | 3 | 64 | 13.70 |
Christine Tanner | 4 | 57 | 11.77 |
Sébastien Ourselin | 5 | 576 | 57.16 |
David J. Hawkes | 6 | 4262 | 470.26 |