A Fully Automated New-Fangled VESTAL to Label Cervical Vertebrae and Intervertebral Discs

Spine is a conspicuous part of human body. It encounters a process of changes with age, stress and strain which originates various spinal problems like disc degeneration, disc herniation, and inter vertebral compression. Labeling plays a pivotal role in diagnosing spinal problems. This paper presents a unique method VertebraeStatistics Description Algorithm (VESTAL) to label cervical vertebrae and inter vertebral discs (IVDs). VESTAL uses statistical feature of cervical vertebrae and IVDs. A template is created by VESTAL by determining both posterior, anterior width, heights of cervical vertebrae and IVDs. The template which is formulated will be used for detecting vertebrae and IVDs. This VESTAL application is applied on 45 patients which brought out 225 MR images with 96% accurate results in labeling.