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  • @techreport{RISC2820,
    author = {Karoly Bosa and Wolfgang Schreiner and Michael Buchberger and Thomas Kaltofen},
    title = {{A REFINED DESIGN OF THE SEE-GRID DATABASE AND PATHOLOGY FITTER}},
    language = {english},
    abstract = {SEE-GRID is based on the SEE++ software for the biomechanical simulation of the human eye. The goal of SEE-GRID is to adapt and to extend SEE++ in several steps and to develop an efficient grid-based tool for “Evidence Based Medicine”, which supports the surgeons to choose the best/optimal surgery techniques in case of the treatments of different syndromes of strabismus. First, we developed the “SEE++ to Grid Bridge”, via which normal SEE++ clients are able to access and exploit the computational power of the Austrian Grid. We have implemented a distributed and grid-based version of the Hess-Lancaster test, which is a medical examination for the diagnosis of strabismus and whose original sequential simulation is time consuming in SEE++. Then, we also implemented a prototype version of the grid-enabled pathology fitting algorithm, which attempts to determine (approximately) the pathological reason of strabismus in case of a patient. In this document, we present some extended benchmark results of the parallel Hess Lancaster test, in which we used more grid resources and reached greater speedup values as before. Next, we describe the current state of the grid-enabled distributed medical database that we started to develop in the previous phases of the project for collecting, sorting and evaluating patient’s data and both real and simulated pathological cases. Then we outline the further development steps related to the SEE-GRID database. In the last section of this document, we discuss and evaluate the possible designs of grid-based Pathology Fitting and Surgery Fitting algorithms, which we plan to implement at a later phase of the project. },
    year = {2005},
    month = {November},
    howpublished = {Austrian Grid Deliverable AG-DA1c-5-2005_v1.doc},
    institution = {Research Institute for Symbolic Computation (RISC), Johannes Kepler University, Linz, Austria},
    length = {17}
    }