Pascau González-Garzón, JavierVaquero López, Juan JoséSoto Montenegro, Mª LuisaCacho, R.Sánchez, JavierSantos, AndrésDesco Menéndez, Manuel2011-01-312011-01-312006Molecular Imaging and Biology, 2006, vol. 8, n. 2, p. 971860-2002 (Online)1536-1632 (Print)https://hdl.handle.net/10016/10146Abstract of: AMI Annual Conference 2006, March 25-29The use of small animal studies of different modalities isnowadays widespread, since functional studies like positron emission tomography (PET) or single photon emission computed tomography (SPECT) are better analyzed when mapped to the underlying anatomical structure coming from magnetic resonance imaging (MRI) or computed tomography (CT). The different positioning of the animals in the scanners results in the need for automated image registration methods. One important drawback of the existing algorithms is their limited capture range: if case of large initial misregistration (large translations and rotations) the optimization may not converge to the right solution, and the images do not become correctly coregistered. To avoid this problem we propose the use of a pre-alignment step based on the principal axes transformation.application/pdfeng©Springerconference proceedingsBiología y Biomedicina10.1007/s11307-006-0031-xopen access972Molecular Imaging and Biology8