Banco Virtual de Imagens Bidimensionais de Estruturas Anatômicas para Aplicação na Radiologia

  • C. E. Santos
  • A. F. Frère
Conference paper

DOI: 10.1007/978-3-540-74471-9_137

Part of the IFMBE Proceedings book series (IFMBE, volume 18)
Cite this paper as:
Santos C.E., Frère A.F. (2007) Banco Virtual de Imagens Bidimensionais de Estruturas Anatômicas para Aplicação na Radiologia. In: Müller-Karger C., Wong S., La Cruz A. (eds) IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health. IFMBE Proceedings, vol 18. Springer, Berlin, Heidelberg


The simplified virtual phantoms do not offer good representations for organs and complex anatomic structures. More elaborated, voxel-based phantoms require a significant quantity of tomography images as reference in order to be generated. In both cases, it is not possible to change the composition and position parameters of the generated models, even using external tools. This paper presents a method for populating an image database with virtual anatomic structures from 3-D phantoms generated using a multi-platform software called Blender. The phantoms generation process was based on images from an anatomy atlas and pictures from a skeleton with certified measures. The resulting models present high-definition graphics, comprising three distinct layers that represent, respectively, the human body external anatomy, the osseous system and the internal organs. New phantoms can be generated by modifying the model’s appearance and positioning in the tool. The phantoms can also be sectioned from different perspectives, generating images that could be stored in a 2-D image database, making its usage faster, more efficient and functional. The possibility of changing parameters related to the phantoms anatomy and positioning, even using a modeling tool, makes the new kind of phantom a good alternative to voxel-based computer-generated phantoms, without the main problems found on the adoption of the later ones.


computer-based phantoms computer simulation quality control image processing medical imaging 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • C. E. Santos
    • 1
  • A. F. Frère
    • 2
  1. 1.Departamento de Engenharia Elétrica, Escola de Engenharia de São CarlosUniversidade de São Paulo (USP)São CarlosBrasil
  2. 2.Núcleo de Pesquisas TecnológicasUniversidade de Mogi das CruzesMogi das CruzesBrasil

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