# Society of HPC Professionals Lunch and Learn

**URL:** https://discourse.julialang.org/t/society-of-hpc-professionals-lunch-and-learn/68210
**Category:** Offtopic
**Created:** [September 15, 2021, 12:58pm UTC](https://discourse.julialang.org/t/society-of-hpc-professionals-lunch-and-learn/68210 "2021-09-15T12:58:44Z")
**Posts on this page:** 1
**Page:** 1

<div class="post-metadata">

### Author: ![johnh](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/johnh/32/3615_2.png) [@johnh](https://discourse.julialang.org/u/johnh)
#### Post date: [September 15, 2021, 12:58pm UTC](https://discourse.julialang.org/t/society-of-hpc-professionals-lunch-and-learn/68210/1 "2021-09-15T12:58:44Z")

</div>

Using High Performance Computing to allow clinical compatible performance for biomechanical Finite Element simulations

We have developed a model to describe inward brain-shift with viscoelastic biomechanical modeling varying three surgery parameters: craniotomy position, cerebrospinal fluid drainage level and intraoperative head position. We propose to develop a real-time estimation of the inward brain-shift displacement with deep learning from only patient-specific MRI without using time-consuming Finite Element building. In this study, we demonstrate that the combination of HPC-generated FEM training data and a U-net approach is a promising solution for clinically compatible performance.

> **[September 2021 event - SHPCP](https://hpcsociety.org/events/september-2021-event/)**
>
> Anne-Cecile Lesage, Ph.D., Using High Performance Computing to allow clinical compatible performance for biomechanical Finite Element simulations