Early Prediction of Alzheimer’s Disease by Examining Changes in Eye Parameters

Cs, Sandeep; A, Sukesh Kumar

doi:10.15406/japlr.2017.05.00159

JAPLR

2017

DOI: 10.15406/japlr.2017.05.00159

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Early Prediction of Alzheimer’s Disease by Examining Changes in Eye Parameters

Sandeep Cs

Sukesh Kumar A

Abstract: Alzheimer's disease (AD) is a type of senile dementia which can be called as a brain and eye disorder that affects memory and the living condition of the people.

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Cited by 2 publications

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WN segmentation of setina images for the early diagnosis of Alzheimer’s disease (AD)

2018

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Alzheimer's disease (AD) is a common form of senile dementia. Although our understanding of the key steps underlying neurodegeneration in Alzheimer's disease (AD) is incomplete, it is clear that it begins long before symptoms are noticed by patient. Conventional clinical decision making systems are more manual in nature and ultimate conclusion in terms of exact diagnosis is remote. In this case, the employment of advanced Biomedical Engineering Technology will definitely helpful for making diagnosis. Any disease modifying treatments which are developed are most possibly to be achieving success if initiated early in the process, and this needs that we tend to develop reliable, validated and economical ways to diagnose Alzheimer's kind pathology. However, despite comprehensive searches, no single test has shown adequate sensitivity and specificity, and it is likely that a combination will be needed. Profiling of human body parameter using computers can be utilised for the early diagnosis of Alzheimer's disease. There are several imaging techniques used in clinical practice for the diagnosis of Alzheimer's type pathology. There are lot of tests and neuroimaging modalities to be performed for an effective diagnosis of the disease. Prominent of them are Magnetic Resonance Imaging Scan (MRI), Positron Emission Tomography (PET), Single Photon Emission CT Scanning (SPECT), Fundus Imaging and Optical Coherence Tomography (OCT). In the recent studies made on Alzheimer's disease it is clearly investigated that are some parameter changes on the retina of the eye of the AD patients. In this research we have proposed a new scheme based on Wavelet Networks (WN) for the segmentation of fundus retinal images for the early diagnosis of AD.

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WN segmentation of setina images for the early diagnosis of Alzheimer’s disease (AD)

2018

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A Comparative Study between Fundus Imaging and Optical Coherence Tomography for the Early Diagnosis of Alzheimer’s Disease

Mahadevan

et al. 2017

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Alzheimer's disease (AD) is a neurodegenerative condition as well as changes in retina region that leads to permanent memory loss. AD is presently creating lot of problems in care taking. There are lot of tests and imaging modalities to be performed for an effective diagnosis of the disease. The most popular of them are Magnetic Resonance Imaging, Positron Emission Tomography and Single Photon Emission CT Scanning. They can provide valuable information regarding the changes in brain regions for diagnosing AD. But the detailed study made on AD suggests that there are some variations on the retina region of the AD patients and therefore retina can be used as a biomarker for the early diagnosis of AD. There are different techniques available for eye examination. Most prominent of them are Fundus Imaging and Optical Coherence Tomography (OCT). In this paper we have made a comparative study based on the above mentioned techniques to prove which is more suitable for the early diagnosis of AD.

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Early Prediction of Alzheimer’s Disease by Examining Changes in Eye Parameters

Abstract: Alzheimer's disease (AD) is a type of senile dementia which can be called as a brain and eye disorder that affects memory and the living condition of the people.

Cited by 2 publications

References 21 publications

WN segmentation of setina images for the early diagnosis of Alzheimer’s disease (AD)

WN segmentation of setina images for the early diagnosis of Alzheimer’s disease (AD)

A Comparative Study between Fundus Imaging and Optical Coherence Tomography for the Early Diagnosis of Alzheimer’s Disease

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