Detail of the artery structure as blood flows from the aneurysm.
Everyone knows ANSYS software is used for all kinds of simulations. I’ve always been impressed with its varied uses in industrial settings. Looks like ANSYS is making some really interesting inroads with simulations in the life sciences, too. Check this out.
ANSYS today announced that the @neurIST project has completed a major milestone toward its goal of helping clinicians understand and manage cerebral aneurysms.
The project teamed with ANSYS to incorporate high-end engineering simulation, which is being increasingly used in the fields of biomedicine and healthcare. The @neurIST project successfully demonstrated its underlying series of linked tools — called a “toolchain” — utilizing software from ANSYS, which automates complex tasks such as aneurysm modeling and simulation. The project is now moving toward developing patient-specific treatment for this devastating condition.
An aneurysm is the ballooning of a weakened artery wall (with cerebral aneurysm occurring in the brain), with the constant threat that it may burst, leading to uncontrolled bleeding and often death. Ultimately, the @neurIST project expects to provide individualized aneurysm rupture predictions. The toolchain is a critical part of the project’s infrastructure: It combines diverse, independent tools into an integrated suite, in which the output of one tool becomes the input for the next. The resulting automated workflow brings together multiple strands of patient data — including CT scans, X-rays, angiograms, and other routine test results — transforming them into 3-D representations that are the basis for dynamic simulations performed with ANSYS® software.
The resulting information can be used in other @neurIST software systems by doctors, researchers and engineers at hospitals, universities and medical device companies to develop patient-specific treatments. Current medical solutions have significant rates of impairment and mortality, and so the innovative approach of @neurIST will enable medical teams to assess the threat of rupture versus the need for risky surgery.
Project partners are now collecting and analyzing clinical data in expectation of developing best practices and, perhaps, identifying the underlying causes of the condition. Learn more here.
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