title: Automatic image matching for breast cancer diagnostics by a 3D deformation model of the mamma.
abstract: X-ray mammograms and MR volumes provide complementary information for early breast cancer diagnosis. The breast is deformed during mammography, therefore the images can not be compared directly. A registration algorithm is investigated to fuse the images automatically. A finite element simulation was applied to a MR image of an underformed breast and compared to a compressed breast using different tissue models and boundary conditions. Based on the results a set of patient data was registered. To archive the requested accuracy distinguishing between the different tissue types of the breast was not necessary. A linear elastic model was sufficient. It was possible to simulate the deformation with an average deviation of approximately of the size of a voxel in the MRI data and retrieve the position of a lesion with an error of 3.8 mm in the patient data.
authors.affiliation: Institut für Prozessdatenverarbeitung und Elektronik, Forschungszentrum Karlsruhe, Germany.
authors.forename: N V
authors.initials: NV
authors.lastname: Ruiter
authors.forename: T O
authors.initials: TO
authors.lastname: Müller
authors.forename: R
authors.initials: R
authors.lastname: Stotzka
authors.forename: H
authors.initials: H
authors.lastname: Gemmeke
authors.forename: J R
authors.initials: JR
authors.lastname: Reichenbach
authors.forename: W A
authors.initials: WA
authors.lastname: Kaiser
mesh_terms: D001940:Breast / Q000473:pathology*; D001943:Breast Neoplasms / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted; D005260:Female; D020342:Finite Element Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging; D008327:Mammography; D019047:Phantoms, Imaging