Morphometric Characterisation of an Asian Reference Analytic Morphomics Population (A-RAMP) Stewart C. Wang, Chi-Hsun Hsieh, Chi-Tung Cheng, Chien-Hung Chiu, Andrea H. Rossman, Carla Kohoyda-Inglis, Brian Derstine, Sven A. Holcombe, Susumu Ejima, Peng Zhang, Grace L. Su Abstract Previous research has shown that differences in a vehicle occupant’s body morphomics (dimensions and composition) predict the type and severity of injuries that occupant sustains in a motor vehicle crash. Data also suggests that the more an occupant varies from standard test surrogates (crash dummies), the greater the crash injury risk. Current test surrogates were developed based on an American population, but the size and stature of the general population varies substantially world-wide. In the current study, our objective was to determine how Asian population morphomics differ from those of an American population. We analysed CT scans from 1,459 live Taiwanese subjects who underwent CT scanning of the chest, abdomen, a nd pelvis for trauma. Highly automated software was used to precisely measure body dimension and composition in an anatomically indexed manner. Finalised results were compared between the Asian (n=1,459) and US (n=6,479) adult populations. Our detailed morphomic analysis found that Asians differ substantially in many measures of body dimensions and composition from Americans. Since many morphomic measures affect the type and risk of crash injury in motor vehicle crashes, human body finite element models meant to represent specific population segments will be informed by the results of this study. Keywords computer modelling, human body models, morphomics, population variability, RAMP I. INTRODUCTION Previous research has shown that differences in a vehicle occupant’s body morphomics (dimensions and composition) predict the type and severity of injuries that occupant sustains in a motor vehicle crash (MVC) [1-5]. Data also suggests that the more an occupant varies from standard test surrogates (crash dummies), the greater the crash injury risk [6-8]. Current test surrogates were developed based on a healthy, young American population from six decades ago. While the surrogates have become more sophisticated and now include an entire family, they are still sized up or down from the original American 50 th percentile male. However, the size and stature of the general population varies substantially world-wide and these crash test surrogates may not accurately predict injuries for those not conforming to the restricted standards. Simplistically, the body is mainly composed of three types of tissues: bone, muscle, and fat. The bulk of the remainder is composed of visceral organs such as lungs, liver, intestines, etc. With the aging of the general population, decreases in bone mineral density (BMD) and muscle loss with aging (sarcopenia) have increased the number and severity of injuries in MVCs [9,10]. The obesity epidemic was exploding in the United States before showing up in other countries and was initially viewed as a high-income country problem. Across the globe, as food availability increased, obesity rates intensified and have more than doubled since 1980. [11] Data suggest that these population changes have altered injury patterns as well as injury rates. We previously analysed CT scans from over 6,000 live US subjects to characterise detailed body component size, shape, and composition that allow us to precisely determine population corridors and variability for automotive safety engineers and human body modelers [12]. In the current study, our objective was to determine how Asian population morphomics differ from those of an American population. S.C. Wang is an Endowed Professor of Surgery in the Department of General Surgery and Director of the Morphomic Analysis Group at the University of Michigan. A. Rossman, C. Kohoyda-Inglis, B. Derstine, S.A. Holcombe, S. Ejima, P Zhang and G.L. Su are affiliated with the International Center for Automotive Medicine at the University of Michigan. H. Chi-Hsun, C. Chi-Tung, and C. Chien- Hung are affiliated with the Chang-Gung Memorial Hospital, Linkou, Taiwan. S.C. Wang, C. Kohoyda-Inglis, and S.A. Holcomb are co-inventors of the analytic morphomics patent. SCW is equity owner of Applied Morphomics, Inc. IRC-19-51 IRCOBI conference 2019 370