Medical diagnostic devices such as MRI and CT scanners provide important patient-specific data but visual inspection of the scans does not always show the big picture. Missing from these images are blood and air flow, and their interaction with compliant vessels and membranes. By combining the scan data with CFD simulations, great insight can be obtained into the cause and effect of the disease, resulting in patient-specific solutions.
Quick turnaround is imperative when working with patient-specific data. The meshing tool in STAR-CCM+ is specifically useful to address this type of application because it allows for quick preparation and generation of meshes on the most detailed geometries. STAR-CCM+ employs a pipeline methodology to ensure that the path from initial geometry to mesh can be easily and robustly automated. With automatic surface preparation tools as well as state-of-the-art polyhedral and trimmed cell meshing, STAR-CCM+ offers the ultimate balance between user control and automation. All this enables bringing patient-specific data, e.g. in STL format, and quickly generating solutions to help assess the patient’s current health status, make comparisons with previous results, decide on a medical procedure or chart a treatment plan.
The human body is composed of many highly compliant vessels and membranes that are structurally impacted by blood/air flow and medical devices. Numerical diagnostics allows for these effects to be included when assessing patients' medical problems and making treatment decisions. STAR-CCM+ has a direct link to Abaqus finite element analysis through a co-simulation API developed by SIMULIA, delivering a fully coupled, implicit, two-way FSI and providing automation, efficiency and solution stability. This capability can handle FSI problems with ease including coronary or carotid artery and aneurism applications.
Optimate, a module in STAR-CCM+, also enables intelligent design exploration and cost-effective analysis of ‘what-if’ scenarios, an important tool for medical device evaluation and for making decisions about surgical procedures.