Abnormality Feature Extraction in the Spinal Cord MRI Using K- Means Clustering

Authors

  • Ms. Noore Ilahi Author
  • Ms. Masrath Jahan Author
  • Mrs. Rayees Fathima Author

Keywords:

Abnormality, Features, Spinal Cord, Clustering, Extraction

Abstract

In our body, the spinal cord is crucial. The significance of the spinal cord is not widely known. All of the information leaves the brain via this primary pathway. The entire human body. It transfers data across the body from one location to another. The spinal cord has a disc, spinal canal, and vertebral column. The entire spinal column is divided into four types: cervical (type 8), thoracic (type 12), and lumbar (type 5), which regulates the hip and thigh functions, and sacral (type 5) which controls the leg functions. 150 articulations between the cervical and sacrum allow for movement. Around the world, spinal cord injuries are a prevalent occurrence. Two are present.
Previous research has shown that tumors are common in the brain and even in other internal organs, but not in
the spinal cord. The vertebral spinal cord tumor of today is commonly used. Age is not a factor in the likelihood of spinal abnormalities. It is unknown what caused the spinal vertebrae to calcify. Calcification mostly affects the cervical and inter vertebral discs of the thoracic and lumbar spine. Pains brought on by full and partial disputes may
become worse. Initial signs of the condition include numbness, edema, weakness, and a change in gait. It is always preferable to treat a condition before surgery. The best method of diagnosis appears to be to use an MRI to visualize the suspected location or problem. The purpose of this paper is to:
In this work, many strategies are employed to diagnose the unhealthy situation early on in order to prevent advanced consequences. Clustering is a crucial type of partitioning. Method that many researchers employ for their fruitful research. The related and unrelated objects in the provided medical data are clearly distinguished. Using an MRI scan of a spinal cord tumour, the well-known and often employed K-Means Clustering technique was applied. Data from various age groups have been grouped together. The most effective method is this one. The sections of this essay are as follows:
The Related Works Done in the same and Different Domains are described in Section II. The explanation of the proposed work's theoretical and mathematical representation is found in Section III. Images are tabulated beside the IV Result and Discussion of the task completed.

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Published

03-03-2019

How to Cite

Abnormality Feature Extraction in the Spinal Cord MRI Using K- Means Clustering. (2019). International Journal of Information Technology and Computer Engineering, 7(1), 36-41. https://ijitce.org/index.php/ijitce/article/view/88