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Human Spine Structure Localization on MRI – A Survey
Objective: This study is mainly to locate all the spine structures on MR Images automatically. Localizing the vertebrae and intervertebral disc is an exacting work due to various different size and shape of the spine in different humans and abnormalities if any. Methods/Statistical Analysis: Numerous techniques for localization and labelling on MR images have been proposed during several past years. Identifying spine structures are done using intensity-based models, graphical models like Markov Random Field (MRF), probabilistic models etc. Also, machine learning approaches are used to classify the different structures of the spine. Findings: In this paper, a survey is done on different localization algorithms. This paper also describes their key ideas, features, the advantages, and disadvantages. Application: Also, it is identified that more future research scope is available in the area of human spine structure localization.
Human Spine Structures, Intervertebral Discs, Localization, MR Images Vertebrae.
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