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Automatic generation of exploration paths for medical models

AutorMonclús, Eva ; Navazo, Isabel; Vázquez, P. P.; Herrero Jover, Javier; López, Jordi
Palabras claveComputer vision
Image analysis
3D navigation
Volume visualization
Fecha de publicación16-may-2008
CitaciónInternational Journal of Computer Assisted Radiology and Surgery 3(Supl. 1): 36-55 (2008):
ResumenMedical data models are becoming larger and larger as long as the medical image capture process improves. Nowadays, 3D renderings may be used for medical intervention planning or computer assisted diagnosis because 3D volume visualization offers advantages with respect to the classical axial, coronal and sagittal views. Usually, in big hospitals, the radiologist is responsible for image analysis, he writes a report for the specialist and hands him some images that show the injure, malformation, etc. Although the visualization techniques are becoming faster and faster, the datasets also increase, and the time the radiologist are able to devote to a single analysis is limited. In this sense, we propose some techniques to help the specialists to find adequate views of the datasets in an efficient way. Collaborative intervention planning may be enhanced through the use of automatic selection of good exploration paths of the models, either to explore the whole model or to inspect just a region of interest in it. We developed a framework to animate medical visualization of individual patient data. Animations enable a smooth change between several viewpoints and facilitate a good overview of the model to the specialist.
DescripciónTrabajo presentado al CARS 2008 - Computer Assisted Radiology and Surgery (Barcelona, Jun 25-28, 2008), Section: Image Processing and Display (IPD).
Versión del editorhttp://dx.doi.org/10.1007/s11548-008-0170-4
ISSN1861-6410 (Print)
1861-6429 (Online)
Aparece en las colecciones: (IRII) Comunicaciones congresos
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