Analysis of brainstem in Alzheimer MR images using Lattice Boltzmann level set
by Ramesh Munirathinam; Sujatha Chinnaswamy Manoharan
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 29, No. 1, 2019

Abstract: Alzheimer's Disease (AD) is a progressive neurological disorder resulting in the cognitive impairment of elderly people. The brainstem is considered as a significant pathological core for the study of psychological and behavioural symptoms occurring before cognitive impairment. In this work, the brainstem is extracted from T1 weighted brain MR images using Lattice Boltzmann (LB) criterion based regional level set method. The segmentation results are validated using regional statistic and overlap measures. The results show that the region-based segmentation is capable of extracting the brainstem more accurately by preserving the weak and blurred edges of the brainstem. The extracted geometric and textural features are able to show a significant difference in the normal and AD brainstem images. The feature values obtained from AD images are found to be less compared to the normal images. This might be due to the neuronal loss in the brainstem describing the atrophy. Hence, this analysis proved to be clinically significant.

Online publication date: Thu, 13-Dec-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