26 May 2016 Automatic detection of the hippocampal region associated with Alzheimer's disease from microscopic images of mice brain
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Abstract
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.
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Tahseen Albaidhani, Cheryl Hawkes, Sabah Jassim, Hisham Al-Assam, "Automatic detection of the hippocampal region associated with Alzheimer's disease from microscopic images of mice brain", Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690D (26 May 2016); doi: 10.1117/12.2229142; https://doi.org/10.1117/12.2229142
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