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DTSTAMP:20230831T095746Z
LOCATION:Davos
DTSTART;TZID=Europe/Stockholm:20230627T100100
DTEND;TZID=Europe/Stockholm:20230627T100200
UID:submissions.pasc-conference.org_PASC23_sess110_pos157@linklings.com
SUMMARY:P31 - High-Performance Computing by and for Patient Specific Mecha
 nical Properties
DESCRIPTION:Poster\n\nJohannes Gebert, Ralf Schneider, and Michael Resch (
 High-Performance Computing Center Stuttgart, University of Stuttgart)\n\nM
 odeling the mechanical behavior of human trabecular bones improves technic
 al applications and the treatment of fractures and bone or joint related d
 iseases. However, this type of bone consists of a large number of struts a
 nd plates, resulting in a highly anisotropic and patient specific behavior
 . Furthermore, the tissue adapts over time and cannot be scanned in situ, 
 by low resolution, clinical Computed Tomography (cCT) Scanners. With high 
 resolution microfocus CT (µCT) scanners that are imaging the specimen ex v
 itro, the detailed shape can be derived with binary segmentation and direc
 t discretization. We’ve developed a massively parallel software stack to c
 ompute the mechanical properties based on µCT and cCT images. We not only 
 can solve such biomechanical challenges, but can also analyze the power dr
 aw and the energy usage of our high-performance computer HLRS Hawk in deta
 il. Analyzing the hardware logging and combining these data with morphomet
 ric numbers of the bone leads to new approaches for saving energy and acce
 lerating the computations. Overall, we show that targeting applications on
  different scales (cCT and µCT) with high-performance computers and improv
 ing the use of them can be accomplished simultaneously.\n\nSession Chair: 
 Jibonananda Sanyal (National Renewable Energy Laboratory)
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