Spinal Canal Abnormalities in Early Stage Detection of Scoliosis Disease: A Review

Gayathry S Warrier and K.S. Angel Viji

Scoliosis is a deformity of spinal column and trunk which is usually very painful. It can even affect the optimal functioning of the heart and lungs of the patient. Though it is not a life threatening disease, scoliosis is a disease for which no cure or cause has been identified. The key question related to scoliosis is that how a small deformity which does not require treatment ends up as a large deformity with surgical intervention as time progress. In critical cases, it may require spinal fusion surgery which may have post operation complication as it affects the spinal flexibility. Adolescent Idiopathic Scoliosis (AIS) affects nearly 2.5% of the population. It can affect children as well as grownups. It is highly important to identify which minor deformities will eventually result in major deformities. To analyse, the minor deformities automatic segmentation of the spinal image is required, as the larger scale view of the spinal image cannot effectively help in diagnosis of minor deformities in the spinal canal. Hence this routine diagnosis is not that effective. The Automatic Spinal Canal Segmentation should necessarily help in effective diagnosis of the disease. Auto finding and delineation of the spinal canal is very helpful to get high efficiency for doctors when detecting and diagnosing the disease. In this paper, the first section provides an outline about the ailment and it also provides a comparison between Magnetic Resonance Imaging (MRI) and Computed Tomography (CT,) whereas in the second section various works related to the detection of the disease is discussed. And finally, in the conclusion part, we also propose effective and early diagnosis of scoliosis through automatic spinal canal segmentation.

Volume 11 | 04-Special Issue

Pages: 267-275