title: An extended registration framework for the triple registration of IBZM SPECT, DATSCAN SPECT and MRI brain images to support the evaluation of brain dopamine receptor scintigraphies.
abstract: An extended registration model is presented to register medical image triples acquired for brain dopamine receptor scintigraphies. The model operates with rigid and nonlinear transformations in parallel, where all transformation parameters are optimized by one optimization method. The concept of the transformation-sampling-similarity measurement minimizes the memory usage of a real implementation. A partial-fine sampling method is proposed to decrease the processing time of the registration. Real medical data was collected to compare our method with well-known prior ones. The first tests show that the model outperforms the classic registration methods in both speed and accuracy.
authors.affiliation: Mediso Medical Imaging Systems Ltd, Baross str 91-95, Budapest, Hungary. laszlo.papp@mediso.hu
authors.forename: Laszlo
authors.initials: L
authors.lastname: Papp
authors.forename: Norbert
authors.initials: N
authors.lastname: Zsoter
authors.forename: Peter
authors.initials: P
authors.lastname: Bandi
authors.forename: Sandor
authors.initials: S
authors.lastname: Barna
authors.forename: Ulf
authors.initials: U
authors.lastname: Luetzen
mesh_terms: D001921:Brain / Q000000981:diagnostic imaging*; D003198:Computer Simulation; D005069:Evaluation Studies as Topic; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D011954:Receptors, Dopamine / Q000378:metabolism*; D015899:Tomography, Emission-Computed, Single-Photon / Q000379:methods*
chemical_list: D011954:Receptors, Dopamine