Development of femur and tibia parametric models based on Chinese CT scans
DU Wenjing1, LUO Xiao2, HUANG Han1, XU Shucai1, ZHANG Jinhuan1
1. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China; 2. First Automotive Workshop Intelligent Connected Vehicle Development Institute, Changchun 130011, China
Abstract：Fractures of the lower extremity long bones are common in motor vehicle crashes and human finite-element models are very effective in studies of lower extremity injury risks and injury mechanisms. The subject characteristics (sex, age, stature and weight) significantly affect the bone geometry and the cortical bone thickness distribution. This study used 95 Chinese clinical CTs to develop femur and tibia parametric models using a male mid-size template model through morphing, fitting, and statistical analyses. The average absolute errors in the predicted external surface geometry models were less than 3 mm and that the average absolute errors in the predicted thickness models were less than 0.6 mm. Bone length was the most significant predictor for the bone geometry models. Age and BMI were both significant in predicting the femoral cortex thickness distribution while only age was significant for predicting the tibia's thickness distribution.
杜雯菁, 罗逍, 黄晗, 许述财, 张金换. 基于中国人体CT数据的股骨和胫骨参数化模型的开发[J]. 清华大学学报（自然科学版）, 2019, 59(3): 211-218.
DU Wenjing, LUO Xiao, HUANG Han, XU Shucai, ZHANG Jinhuan. Development of femur and tibia parametric models based on Chinese CT scans. Journal of Tsinghua University(Science and Technology), 2019, 59(3): 211-218.
[1] KUPPA S, FESSAHAIE O. An overview of knee-thigh-hip injuries in frontal crashes in the United States[C]//Proceedings of the 18th International Technical Conference on the Enhanced Safety of Vehicles, Nagoya, Japan:National Highway Traffic Safety Administration, 2003:1-9. [2] MORAN S G, MCGWIN G Jr, METZGER J S, et al. Relationship between age and lower extremity fractures in frontal motor vehicle collisions[J]. The Journal of Trauma, 2003, 54(2):262-265. [3] RUPP J D, FLANNAGAN C A, LESLIE A J, et al. Effects of BMI on the risk and frequency of AIS 3+ injuries in motor-vehicle crashes[J]. Obesity, 2013, 21(1):88-97. [4] KENT R, HENARY B, MATSUOKA F. On the fatal crash experience of older drivers[J]. Annual Proceedings of Association for the Advancement of Automotive Medicine, 2005, 49:371-391. [5] UNTAROIU C D, YUE N, SHIN J. A finite element model of the lower limb for simulating automotive impacts[J]. Annals of Biomedical Engineering, 2013, 41(3):513-526. [6] TAKAHASHI Y, KIKUCHI Y, MORI F, et al. Advanced FE lower limb model for pedestrians[C]//Proceedings of the 18th International Technical Conference on the Enhanced Safety of Vehicles, Nagoya, Japan:National Highway Traffic Safety Administration, 2003. [7] IWAMMOTO M, TAMURA A, FURUSU K, et al. Development of a finite element model of the human lower extremity for analyses of automotive crash injuries[C]//Proceedings of the SAE 2000 World Congress. Detroit, USA:SAE International, 2000. DOI:10.4271/2000-01-0621. [8] ZIOUPOS P, CURREY J D. Changes in the stiffness, strength, and toughness of human cortical bone with age[J]. Bone, 1998, 22(1):57-66. [9] BOSE D, SEGUI-GOMEZ M, CRANDALL J R. Vulnerability of female drivers involved in motor vehicle crashes:An analysis of US population at risk[J]. American Journal of Public Health, 2011, 101(12):2368-2373. [10] KLEIN K F, HU J W, REED M P, et al. Development and validation of statistical models of femur geometry for use with parametric finite element models[J]. Annals of Biomedical Engineering, 2015, 43(10):2503-2514. [11] BRYAN R, MOHAN P S, HOPKINS A, et al. Statistical modelling of the whole human femur incorporating geometric and material properties[J]. Medical Engineering & Physics, 2010, 32:57-65. [12] PARK G, FORMAN J, KIM T, et al. Injury risk functions based on population-based finite element model responses:Application to femurs under dynamic three-point bending[J]. Traffic Injury Prevention, 2018, 19(S1):59-64. [13] HAYASHI S, YASUKI T, KITAGAWA Y. Occupant kinematics and estimated effectiveness of side airbags in pole side impacts using a human FE model with internal organs[J]. Stapp Car Crash Journal, 2008, 52:363-377. [14] GAYZIK F S, MORENO D P, GEER C P, et al. Development of a full body CAD dataset for computational modeling:A multi-modality medical approach[J]. Annals of Biomedical Engineering, 2011, 39(10):2568-2583. [15] SHI X N, CAO L B, REED M P, et al. A statistical human rib cage geometry model accounting for variations by age, sex, stature and body mass index[J]. Journal of Biomechanics, 2014, 47(10):2277-2285. [16] WANG Y L, CAO L B, BAI Z H, et al. A parametric ribcage geometry model accounting for variations among the adult population[J]. Journal of Biomechanics, 2016, 49(13):2791-2798. [17] 李沛雨, 许述财, 杜雯菁, 等. 中国人肋骨密质骨厚度的测定与特征分析[J]. 清华大学学报(自然科学版), 2017, 57(8):815-820,831. LI P Y, XU S C, DU W J, et al. Measurement and characterization of the cortical bone thickness in Chinese human ribs[J]. Journal of Tsinghua University (Science and Technology), 2017, 57(8):815-820,831. (in Chinese) [18] XU R, ZHOU X, HIRANO Y, et al. Particle system based adaptive sampling on spherical parameter space to improve the MDL method for construction of statistical shape models[J]. Computational and Mathematical Methods in Medicine, 2013, 2013:196259. DOI:10.1155/2013/196259. [19] REED M P, PARKINSON M B. Modeling variability in torso shape for chair and seat design[C]//Proceeding of ASME International Design Engineering Technical Conferences. New York, USA:American Society of Mechanical Engineers, 2008:561-569. [20] CLARKE B. Normal bone anatomy and physiology[J]. Clinical Journal of the American Society of Nephrology, 2008, 3(S3):131-139. [21] PARK G, KIM T, FORMAN J, et al. Prediction of the structural response of the femoral shaft under dynamic loading using subject-specific finite element models[J]. Computer Methods in Biomechanics and Biomedical Engineering, 2017, 20(11):1151-1166. [22] HELGASON B, PERILLI E, SCHILEO E, et al. Mathematical relationships between bone density and mechanical properties:A literature review[J]. Clinical Biomechanics, 2008, 23:135-146. [23] DOKKO Y, ITO O, OHASHI K. Development of human lower limb and pelvis FE models for adult and the elderly[C]//Proceedings of the SAE 2009 World Congress & Exhibition. Detroit, USA:SAE International, 2009. DOI:10.4271/2009-01-0396.
2019, Vol. 59 
