Enhancement and segmentation of pituitary gland from MR brain images
by Shoaib Amin Banday; Ajaz Hussain Mir
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 9, No. 3, 2017

Abstract: The work herein proposes a framework for semi-automatic segmentation of pituitary gland from MRI brain images. The proposed framework initially uses a fused stationary wavelet transform (SWT) and discrete wavelet transform (DWT) to obtain a high resolution image of the input MRI brain image. After the input MRI brain image enhancement, the method applies thresholding and mathematical morphology to segment the pituitary gland from the input MRI brain image. The proposed algorithm for the same is coded in MATLAB 7.9 on MRI brain images. The segmented pituitary gland obtained using the proposed method is compared with the manually segmented pituitary gland (by an expert), region growing-based brain segmentation and watershed brain segmentation using Jackard's similarity coefficient (JSI) and overlap index (OI). The visual evaluation by a team of radiologists has demonstrated the efficacy of the proposed framework of pituitary gland extraction.

Online publication date: Mon, 10-Apr-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Medical Engineering and Informatics (IJMEI):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com