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SimAnato: project overview

Phd. René Cejas Bolecek

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(ncejas@cab.cnea.gov.ar)

April 5th, 2022

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SimAnato project (Anatomic Simulator )

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3d visualization platform for medical training and research

Developers:

Ing. Mauro Fermin(CNEA-MECOM)

Phd. Ignacio Larrabide (PLADEMA)

Phd. René Cejas Bolecek (CNEA-MECOM)

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Institucional support:

Phd. Enzo Dari (CNEA-MECOM)

Phd. Marcelo Venere (PLADEMA)

Phd. Fernando Quintana (CNEA-MECOM)

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http://www.pladema.net/plataformas

http://mecom.cnea.gov.ar

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Project objectives

  • To develop an interactive 3D visualization platform for medical training and research
  • To implement efficient image processing algorithms to exploit image data information
  • To provide solutions that facilitates the adoption of novel learning methods and technologies in Universities and research Hospitals
  • Collaborate with Universities and research hospitals in the development of high quality academia content

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Motivation

  • Provide cost effective and innovative medical training technologies to Universities and to research hospitals
  • Existing commercial solutions:
  • Elevated maintenance costs: updates, acquisition of new datasets and product licenses. Only a very small part of academic institutions can access these solutions.
  • Adapting content to the software is far from trivial and sometimes is not possible.

SimAnato is designed to overcome this limitations by allowing to generate tailored academic content

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High-level overview of Simanato

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Brain atlas from the Neuroimage Analysis Center’s Computational Clinical Anatomy Core and the Surgical Planning Laboratory de Brigham & the Women’s Hospital. http://www.spl.harvard.edu/publications/item/view/2037

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Other related developments in medical data visualization and simulation

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Deformable geometries for surgery applications

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VulKan visualization engine for volume rendering

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Slicing & Ray Casting Volume rendering methods implemented from scratch

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VK visualization engine for volume rendering

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Transfer functions

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VK visualization engine for volume rendering

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high pass filter for noise elimination