Regenerative pixel mode and tumour locus algorithm development for brain tumour analysis: a new computational technique for precise medical imaging
by Sunil L. Bangare; G. Pradeepini; Shrishailappa T. Patil
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 27, No. 1/2, 2018

Abstract: This paper provides Regenerative Pixel Mode (RPM) and Tumour Locus algorithm (TLA), an alternative technique for effective anti-aliased extraction of complicated tumour locus. We developed this technology to eliminate disadvantages of Positron Emission Tomography (PET) scan technology where radioactive material proved as a risk for the patient. The presented technology can be an alternative to PET scan processes and is very cost-effective technique as compared to PET scan. RPM algorithm makes use of the pixel sampling, sub-pixel filter mode to build a compressed, tumour manifestation in each and every pixel through the elimination of impurities. Along with RPM algorithm, TLA is further used for identification of tumour locus by a sub-clustering method where the high-intensity region of the brain tumour is extracted. Finally, RPM and TLA processing provide final results which are undoubtedly visible for health practitioner reviews for pre and post or even during surgical activities.

Online publication date: Mon, 09-Jul-2018

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 Biomedical Engineering and Technology (IJBET):
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