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Abstract #1360

A fully automatic and robust system for quantitative measurement of lumbar curvature

Yao Wang1, Fei Gao2, Mei Yang1, Shui Liu3, Xiaodong Zhang3, Jue Zhang1,2, and Xiaoying Wang1,3

1Academy for Advanced Interdisciplinary Studies, Peking University, beijing, China, 2College of Engineering, Peking University, beijing, China, 3Department of Radiology, Peking University First Hospital, beijing, China

The change of lumbar curvature is used as the intuitionistic reflection for nearly all lumbar spine lesions, such as low back pain. Although several automatic segmentation methods have been proposed for the lumbar spine, those techniques cannot be directly applied to the diagnosis of spinal lesions due to the lack of quantitative estimation in lumbar curvature. In this study, by using a machine learning strategy, we designed an analysis pipeline and developed a fully automated measurement system of lumbar curvature, then validated it against a dataset of 45 subjects with T2w images.

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