15:45 - 15:57ID: 446
THE CONTRIBUTION OF LOWER-MINERALIZED TISSUE TO THE STRENGTH OF FRACTURED DISTAL RADII DURING HEALING
M. Bevers1,2, F. Heyer1, C. Wyers1, P. Geusens3, H. Janzing1, O. Lambers Heerspink1, M. Poeze3, J. van den Bergh1, B. van Rietbergen2
1VieCuri Medical Center, Netherlands, The; 2Eindhoven University of Technology, Netherlands, The; 3Maastricht University Medical Center, Netherlands, The
15:57 - 16:09ID: 496
PREDICTING FEMORAL STRENGTH FROM 2D-3D DXA FINITE ELEMENT MODELS ACROSS AGE AND ETHNICITIES
V. S. Cheong1,2, D. Jha1,2, A. Baker2, L. Grassi3, N. Hong4, K. A Greene5, A. A Weaver5, S. Väänänen6, Y. Rhee4, H. Isaksson3, S. J Ferguson1,2, B. Helgason1,2
1Singapore-ETH Centre, Singapore; 2Institute for Biomechanics, ETH Zürich, Switzerland; 3Department of Biomedical Engineering, Lund University, Sweden; 4Department of Internal Medicine, Yonsei University College of Medicine, South Korea; 5Department of Biomedical Engineering, Wake Forest University School of Medicine, USA; 6Department of Technical Physics, University of Eastern Finland, Finland
16:09 - 16:21ID: 529
BONE MATERIAL STRENGTH INDEX TO DIFFERENTIATE EARLY BONE STRUCTURE IN PATIENTS AFFECTED BY CRANIOSYNOSTOSIS
S. Ajami1,2, S. Schievano1,2, M. Pinedo1, G. James2, J. Ong2, D. Dunaway1,2, N. U. O. Jeelani1,2, A. Borghi1,2,3
1UCL Great Ormond Street Institute of Child Health; 2Great Ormond Street Hospital; 3Durham University, United Kingdom
16:21 - 16:33ID: 591
STATISTICAL MODELS INFORMED BY DXA IMAGES SLIGHTLY OUTPERFORM T-SCORE IN THE PREDICTION OF HIP FRACTURE
A. Aldieri1, M. Paggiosi2, P. Bhattacharya3, R. Eastell2, A. L Audenino1, M. Terzini1
1PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy.; 2Department of Oncology and Metabolism University of Sheffield, UK.; 3Department of Mechanical Engineering and INSIGNEO Institute for in silico Medicine, University of Sheffield, UK.
16:33 - 16:45ID: 825
QCT-BASED COMPUTATIONAL BONE STRENGTH ASSESSMENT UPDATED WITH MRI-DERIVED ‘HIDDEN’ MICROPOROSITY
S. McPhee1, L. Kershaw2, C. Daniel3, M. Peña Fernández1, S. E Taylor3, U. Wolfram1
1Institute of Mechanical, Process and Energy Engineering, Heriot-Watt University, UK.; 2Centre for Cardiovascular sciences and Edinburgh Imaging, University of Edinburgh, UK.; 3Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, UK
16:45 - 16:57ID: 378
MINIMAL DETECTABLE FEATURES IN CT IMAGES AND DIGITAL 3D MODELS
M. Frank1,2, A. Strassl3, E. Unger2, L. Hirtler4, B. Eckhart1, M. Koenigshofer2, A. Stoegner1, K. Staats1, F. Kainberger3, R. Windhager1, F. Moscato2,5,6, E. Benca1
1Department of Orthopedics and Trauma Surgery, Medical University of Vienna, Austria; 2Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria; 3Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria; 4Center for Anatomy and Cell Biology, Medical University of Vienna, Austria; 5Ludwig Boltzmann Institute for Cardiovascular Research, Austria; 6Austrian Cluster for Tissue Regeneration, Austria
|