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Brain Tumor Detection, Demarcation and Quantification via MRI

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 87 - Number 18
Year of Publication: 2014
Navneet Kaur
Mamta Juneja

Navneet Kaur and Mamta Juneja. Article: Brain Tumor Detection, Demarcation and Quantification via MRI. International Journal of Computer Applications 87(18):8-12, February 2014. Full text available. BibTeX

	author = {Navneet Kaur and Mamta Juneja},
	title = {Article: Brain Tumor Detection, Demarcation and Quantification via MRI},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {87},
	number = {18},
	pages = {8-12},
	month = {February},
	note = {Full text available}


Under the scope of this paper an algorithm has been developed which takes the gradient differential as main criteria for identification of the brain tumor. The algorithm also tries to skip the areas of brain which do not suits the criteria of high intensity and high entropy as these are the main two characteristics of tumor area. Finally, the image is reconstructed using extended maxima transformation and regional maxima are found, and finally we get the most susceptible part of tumor. The results have shown that the algorithm takes only 3. 98 seconds on an average to identify the tumor and has good accuracy in terms of identification of tumor.


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