Alzheimer’s Disease Estimation: A Pattern Recognition based Approach using MRI and Genotype Data - Softcover

Farhan, Saima; Fahiem, Muhammad Abuzar; Tauseef, Huma

 
9783659772177: Alzheimer’s Disease Estimation: A Pattern Recognition based Approach using MRI and Genotype Data
Softcover
ISBN 10: 3659772178 ISBN 13: 9783659772177
Verlag: LAP LAMBERT Academic Publishing, 2015

Inhaltsangabe

Alzheimer’s disease, a progressive neurodegenerative disorder of the brain, is a major cause of death around the globe. Clinical symptoms of the disease appear at later stages, however, modern brain imaging techniques have enabled us to non-invasively visualize the internal structures of the brain and identify structural and functional changes well before time. Early detection of the disease is crucial for the patient, care givers and relatives to cope with the situation as well as for medical practitioners to discover new drugs. A novel image processing based approach is proposed for early identification of Alzheimer’s disease from MRI of the brain. Features used are different tissue densities and size of hippocampus. Seven classification models are used for identification of patients and controls. Results are obtained using image features, genetic features and combination of the both. Image features produced best classification of cases and controls. On the other hand, genetic data can be very useful in predicting the risk of disease. The proposed approach has achieved higher accuracy/specificity/sensitivity values even using smaller feature set.

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Reseña del editor

Alzheimer’s disease, a progressive neurodegenerative disorder of the brain, is a major cause of death around the globe. Clinical symptoms of the disease appear at later stages, however, modern brain imaging techniques have enabled us to non-invasively visualize the internal structures of the brain and identify structural and functional changes well before time. Early detection of the disease is crucial for the patient, care givers and relatives to cope with the situation as well as for medical practitioners to discover new drugs. A novel image processing based approach is proposed for early identification of Alzheimer’s disease from MRI of the brain. Features used are different tissue densities and size of hippocampus. Seven classification models are used for identification of patients and controls. Results are obtained using image features, genetic features and combination of the both. Image features produced best classification of cases and controls. On the other hand, genetic data can be very useful in predicting the risk of disease. The proposed approach has achieved higher accuracy/specificity/sensitivity values even using smaller feature set.

Biografía del autor

Saima Farhan PhD, is working as assistant professor in the Department of Computer Science, Lahore College for Women University, Lahore, Pakistan, since last 10 years. Her research interests include image processing, machine learning and medical image analysis. She has authored two books and many international conference and journal research papers.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
3659772178
ISBN 13 
9783659772177
Einband
Tapa blanda
Anzahl der Seiten
164
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Verantwortliche Person
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