Validation performance comparison for finite element models of the human brain. Issue 12 (10th September 2017)

• Record Type: Journal Article
• Authors: Miller, Logan E.; Urban, Jillian E.; Stitzel, Joel D.
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 20:Issue 12(2017)
• Page Start: 1273
• Page End: 1288
• Publication Date: 2017-09-10
• Subjects: Brain model -- head injury -- validation -- optimization -- finite element model -- CORA; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2017.1340462
• Languages: English
• ISSNs: 1025-5842

Abstract

Abstract: The objective of this study was to compare the performance of six validated brain finite element (FE) models to localized brain motion validation data in five experimental configurations. Model performance was measured using the objective metric CORA (CORrelation and Analysis), where higher ratings represent better correlation. The KTH model achieved the highest average CORA rating, and the ABM received the highest average rating among models robustly validated against five cadaver impacts in three directions. This technique can be more frequently employed to build better models and, when associated limitations are well understood, to compare inter-model performance under similar conditions.