Researchers from our MultiSim project have had a paper on ‘Delivering computationally-intensive digital patient applications to the clinic: An exemplar solution to predict femoral bone strength from CT data’ published in Computer Methods and Programs in Biomedicine.
To increase the clinical uptake of FE predictive models the University of «Ӱҵ, in collaboration with «Ӱҵ Teaching Hospitals, has developed a service called “” (CT2S). Doctors in the hospital request the analysis of a patient by accessing the website of the service. Using a combination of open source software, the website initiates a secure transfer of the medical CT images from the hospital’s database to the Insigneo Institute’s one. An operator then downloads and processes the images to build a personalised FE model of the patient. To estimate the strength, 28 loading simulations are performed on the local HPC cluster at «Ӱҵ. After the analysis, the results are sent to the clinician in a PDF document. The entire workflow can be executed in 3.5 hours.
CT2S is built on open source software, meaning that can be easily deployed in other institutions, thus further increasing the uptake of FE based methods for bone strength prediction.
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