Simulation of soft-tissue tumor excisions: A multimodal interactive approach

Carmine DiSomma, Edoardo Raposio, Marco Fato, Andrea Schenone, Luciano Andreucci, Francesco Beltrame, PierLuigi Santi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Total 3-D reconstruction of the tumor size, shape, and relations with surrounding structures using CT, MRI, sonography, and angiography images can make simulated radical resection of soft-tissue sarcomas possible, thus sparing normal tissues. With our approach, starting from three MR images for a given patient, a new single image representation of all three parameters is generated by using two different techniques on a workstation in a standard UNIX and X-11 environment. The first one is a transformation linking together the MR parameters and the RGB (red, green, blue) color components. The second one is an unsupervised segmentation method based on a number of neural and fuzzy models. We can dinamically render and update a stereo display using field sequential presentation of left and right eye views on the monitor, with Cristal Eyes LCD shutter eyewear (StereoGraphics Inc., San Rafael, CA) to view it. As 3D locating tool, a 3D locating control system based on low-frequency magnetic fields (Polhemus Fastrak) has been chosen. Simulations of soft-tissues excisions may be performaed in this interactive environment with augmented-reality modalities. All this, in our experience, has greatly facilitated the simulation of soft -tissue sarcoma excisions.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
Pages125-130
Number of pages6
Volume39
DOIs
Publication statusPublished - 1997

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ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

DiSomma, C., Raposio, E., Fato, M., Schenone, A., Andreucci, L., Beltrame, F., & Santi, P. (1997). Simulation of soft-tissue tumor excisions: A multimodal interactive approach. In Studies in Health Technology and Informatics (Vol. 39, pp. 125-130) https://doi.org/10.3233/978-1-60750-883-0-125