Thomas Hughes of UT Austin and Michael Miller of Johns Hopkins described the new era in disease identification and treatment that HPC is making possible. The big push is for patient-specific models that determine optimal treatments for specific individuals instead of a random population sample.
The process begins with medical imaging as we know it today: a CT scan, ultrasound, or MRI. From those information pieces, mathematical models are built. In the case of a cardiac patient, computational mechanics and a cardiovascular modeling toolkit isolate the necessary image; then a mesh template – based on technology from computational geometry – creates a 3D aspect. Fluid/ structure interaction analyses are run to determine flow patterns, which can pinpoint not only problems that exist but problems in the making: Is there a fatty deposit behind that section of artery wall? Has the aneurism grown? Is that swirly spot a place where sclerosis could form?
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