Title :
Model-based registration of X-ray mammograms and MR images of the female breast
Author :
Ruiter, N.V. ; Stotzka, R. ; Muller, T.O. ; Gemmeke, H.
Author_Institution :
Inst. of Data Process. & Electron., Forschungszentrum Karlsruhe, Germany
Abstract :
We present a new approach for automatic registration of X-ray mammograms and MR images. Multimodal breast cancer diagnosis is supported by automatic localization of small lesions, which are only visible in the mammograms or the MR image. To cope with the huge deformation of the breast during mammography, a finite element model of the deformable behavior of the breast is applied during the registration. An evaluation of the registration with six clinical data sets resulted in an accurate localization with a mean displacement of 4.3 mm (± 1 mm) and 3.9 mm (± 1.7 mm) for predicting the lesion position in mammograms and in the MR images, respectively.
Keywords :
biomechanics; biomedical MRI; cancer; finite element analysis; mammography; medical image processing; MR images; X-ray mammograms; automatic lesion localization; breast deformation; clinical data sets; female breast; finite element model; lesion position; model-based registration; multimodal breast cancer diagnosis; Breast cancer; Deformable models; Finite element methods; Image coding; Lesions; Magnetic resonance; Magnetic resonance imaging; Mammography; Optical imaging; X-ray imaging;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2004 IEEE
Print_ISBN :
0-7803-8700-7
Electronic_ISBN :
1082-3654
DOI :
10.1109/NSSMIC.2004.1466392