Lumbar region perception segmentation: a novel algorithm for automated vertebral motion parameter measurement.

ABSTRACT:

Background

Lower back pain frequently results from irregular lumbar spine movement. Quantifying vertebral motion is crucial for diagnosing lumbar spine disorders, but the accuracy and efficiency of traditional methods are limited. To address this limitation and automate the measurement of vertebral motion parameters for clinical diagnosis, we developed the vertebra segmentation network (VerSeg-Net), a novel deep learning-based approach for segmenting lumbar vertebrae and measuring motion parameters from dynamic X-ray images.

Methods

The VerSeg-Net integrates: the region-aware (RA) module, which partitions features into non-overlapping blocks and applies dynamic sparse attention to filter irrelevant regions; and adaptive receptive field feature fusion (AFF), which fuses multi

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC12514737 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature