Context sensitive labeling of spinal structure in MR images

Abstract

We present a new method for automatic detection of the lumbar vertebrae and disk structure from MR images. In clinical settings, radiologists utilize several images of the lumbar structure for diagnosis of lumbar disorders. These images are co-registered by technicians and represent orthogonal features of the lumbar region. We combine information from T1W sagittal, T2W sagittal and T2W axial MR images to automatically label disks and vertebral columns. The method couples geometric and tissue property information available from the three types of images with image analysis approaches to achieve 98.8% accuracy for the disk labeling task on a test set of 67 images containing 335 disks.