Automatic detection of the hippocampal region associated with Alzheimer's disease from microscopic images of mice brain

Albaidhani, Tahseen and Hawkes, Cheryl and Jassim, Sabah and Al-Assam, Hisham (2016) Automatic detection of the hippocampal region associated with Alzheimer's disease from microscopic images of mice brain. In: Mobile Multimedia/Image Processing, Security, and Applications 2016. Proceedings of SPIE - The International Society for Optical Engineering . SPIE, USA. ISBN 9781510601109

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The hippocampus is the region of the brain that is primarily associated with memory and spatial navigation. It is one of the first brain regions to be damaged when a person suffers from Alzheimer's disease. Recent research in this field has focussed on the assessment of damage to different blood vessels within the hippocampal region from a high throughput brain microscopic images. The ultimate aim of our research is the creation of an automatic system to count and classify different blood vessels such as capillaries, veins, and arteries in the hippocampus region. This work should provide biologists with efficient and accurate tools in their investigation of the causes of Alzheimer's disease. Locating the boundary of the Region of Interest in the hippocampus from microscopic images of mice brain is the first essential stage towards developing such a system. This task benefits from the variation in colour channels and texture between the two sides of the hippocampus and the boundary region. Accordingly, the developed initial step of our research to locating the hippocampus edge uses a colour-based segmentation of the brain image followed by Hough transforms on the colour channel that isolate the hippocampus region. The output is then used to split the brain image into two sides of the detected section of the boundary: the inside region and the outside region. Experimental results on a sufficiently number of microscopic images demonstrate the effectiveness of the developed solution.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/2200/2208
Departments: Faculty of Health and Medicine > Biomedical & Life Sciences
ID Code: 137286
Deposited By: ep_importer_pure
Deposited On: 21 Oct 2019 15:10
Refereed?: Yes
Published?: Published
Last Modified: 19 Feb 2020 06:48

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