PATCHMATCH BASED TREE-SEED FUZZY CLUSTERING FOR ISCHEMIC STROKE LESION SEGMENTATION IN BRAIN MR IMAGES

Authors

  • Mr. Tushar R. Sangole Research Scholar
  • Dr. Amit K. Gaikwad Associate Professor, SIT Kolhapur
  • Dr. Vinod M. Vaze Department of Computer Science JJTU, Rajasthan, India

DOI:

https://doi.org/10.17605/OSF.IO/BVGW3

Keywords:

Patch match, Tree seed, Ischemic Stroke lesion, lesion segmentation

Abstract

Ischemic Stroke Lesion (ISL) arises when the artery of the brain gets blocked. The blood provisions nutrients and oxygen to the brain and take out carbon dioxide and other waste cells. In case an artery gets congested, the brain cells will not be able to function and will ultimately stop functioning (Khoshnam SE et al 2017). Nerve symptoms and symptoms of IS usually occur abruptly but can also be sometimes progressive in nature. Signs and symptoms vary based on the position of the occlusion and the flow (Sommer CJ 2017). Atherosclerotic stroke is generally found in elders, and arises without symptoms in 80% of the cases. IS can be initiated by a variety of ailments, like contraction of the arteries head or neck region (Jiang X et al 2018).This is usually produced by atherosclerosis, deposition of cholesterol, or generation blood clots which arise as a consequence of rapid heartbeat, heart attack, damages in heart valve, or some other underlying origins, including drug overdose, severe blood vessel injury in the neck, or abnormal blood flow (Renna R et al 2014). MRI is extensively utilized to identify cerebral ischemia.

                          Medical imaging procedures are used to obtain images of various regions of the human body for analyzing the condition and for further treatment. MRI is a scheme for getting comprehensive images of the interior organs, as well as the muscles of the brain &spinal cord. It is first utilized to picture body image and bodily functions (Liu J et al 2014).

Since the brain manages whole functions of the human body, the brain is considered to be one of the significant organs of the body. Several illnesses like infections, tumors, and strokes affect the brain. In addition, tumor brain may be a noncancerous or cancerous group or abnormal cell growth in the brain. Methods like MRI can be employed for detecting brain tumors. Lately, MRI scans have gained attention due to the requirement for a better evaluation of huge amounts of information (El-Dahshan et al 2014). Obtaining brain samples and automated classification of brain cells from MRI scans is important both in medicine and in experimental studies of common and diseased brain tumors. The most significant step in the fabrication of medical imaging is segmentation, which separates the matters in the image for processing.

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Published

2021-11-03

How to Cite

[1]
Mr. Tushar R. Sangole, Dr. Amit K. Gaikwad, and Dr. Vinod M. Vaze, “PATCHMATCH BASED TREE-SEED FUZZY CLUSTERING FOR ISCHEMIC STROKE LESION SEGMENTATION IN BRAIN MR IMAGES”, IEJRD - International Multidisciplinary Journal, vol. 6, no. ICRRTNB, p. 9, Nov. 2021.