Original paper
Prediction of magnetic resonance imaging-derived trunk muscle geometry with application to spine biomechanical modeling
Abstract
Background Accurate geometry of the trunk musculature is essential for reliably estimating spinal loads in biomechanical models. Currently, many models employ straight muscle path assumptions that yield far less accurate tissue loads, particularly in extreme postures. Precise muscle moment-arms and physiological cross-sectional areas are important when incorporating curved muscle geometry in biomechanical models. The objective of this study was...
Paper Details
Title
Prediction of magnetic resonance imaging-derived trunk muscle geometry with application to spine biomechanical modeling
Published Date
Aug 1, 2016
Journal
Volume
37
Pages
60 - 64
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Notes
History