Publication: Automatic pre-alignment of multimodality rat brain images using principal axes transformation
dc.affiliation.dpto | UC3M. Departamento de Bioingeniería | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Biomedical Imaging and Instrumentation Group | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: BSEL - Laboratorio de Ciencia e Ingeniería Biomédica | es |
dc.contributor.author | Pascau González-Garzón, Javier | |
dc.contributor.author | Vaquero López, Juan José | |
dc.contributor.author | Soto Montenegro, Mª Luisa | |
dc.contributor.author | Cacho, R. | |
dc.contributor.author | Sánchez, Javier | |
dc.contributor.author | Santos, Andrés | |
dc.contributor.author | Desco Menéndez, Manuel | |
dc.date.accessioned | 2011-01-31T12:43:09Z | |
dc.date.available | 2011-01-31T12:43:09Z | |
dc.date.issued | 2006 | |
dc.description | Abstract of: AMI Annual Conference 2006, March 25-29 | |
dc.description.abstract | The 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. | |
dc.description.status | Publicado | |
dc.format.mimetype | application/pdf | |
dc.identifier.bibliographicCitation | Molecular Imaging and Biology, 2006, vol. 8, n. 2, p. 97 | |
dc.identifier.doi | 10.1007/s11307-006-0031-x | |
dc.identifier.issn | 1860-2002 (Online) | |
dc.identifier.issn | 1536-1632 (Print) | |
dc.identifier.publicationfirstpage | 97 | |
dc.identifier.publicationissue | 2 | |
dc.identifier.publicationtitle | Molecular Imaging and Biology | |
dc.identifier.publicationvolume | 8 | |
dc.identifier.uri | https://hdl.handle.net/10016/10146 | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.eventdate | March 25-29, 2006 | |
dc.relation.eventplace | Orlando, Florida | |
dc.relation.eventtitle | AMI Annual Conference | |
dc.relation.publisherversion | http://dx.doi.org/10.1007/s11307-006-0031-x | |
dc.rights | ©Springer | |
dc.rights.accessRights | open access | |
dc.subject.eciencia | Biología y Biomedicina | |
dc.title | Automatic pre-alignment of multimodality rat brain images using principal axes transformation | |
dc.type | conference proceedings | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
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