Abstract #1558

An automatic tool for lumbar deformities and intervertebral disc degeneration using deep-learning based 3D segmentation

Yao-Wen Liang¹, Chao-Hung Kuo², Feng-Mao Chiu¹, Ting-Chun Lin¹, Yu-Hao Lan¹, Chih-Yu Wang¹, and You-Yin Chen^1,3

¹Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan, ²Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, ³Ph.D. Program for Neural Regenerative Medicine, Taipei Medical University, Taipei, Taiwan

Synopsis

Keywords: Spinal Cord, Machine Learning/Artificial Intelligence

Degenerative alterations are the most common cause of lumbar spinal stenosis (LSS) in seniors. LSS is detected more often due to enhanced imaging technology and an aging population. Imaging data help individuals with chronic symptoms considering invasive therapy. This study combined the approach of assessing disc degeneration with stenosis assessment, using a deep learning-based segmentation module and a home-made autonomous measuring system.

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