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Projecting MRI brain images for the detection of Alzheimer's Disease.
Martínez-Murcia, Francisco Jesús; Górriz, Juan Manuel; Ramírez, Javier; Alvarez Illán, Ignacio; Salas-González, Diego; Segovia, Fermín.
Afiliación
  • Martínez-Murcia FJ; Dept. of Signal Theory, Networking and Communications, 18071 University of Granada, Spain.
  • Górriz JM; Dept. of Signal Theory, Networking and Communications, 18071 University of Granada, Spain.
  • Ramírez J; Dept. of Signal Theory, Networking and Communications, 18071 University of Granada, Spain.
  • Alvarez Illán I; Dept. of Signal Theory, Networking and Communications, 18071 University of Granada, Spain.
  • Salas-González D; Dept. of Signal Theory, Networking and Communications, 18071 University of Granada, Spain.
  • Segovia F; Cyclotron Research Centre, University of Liège, Liège, Belgium.
Stud Health Technol Inform ; 207: 225-33, 2014.
Article en En | MEDLINE | ID: mdl-25488228
Recent advances in the process of diagnosis of neurodegenerative diseases, such as Alzheimer's Disease, rely on the use of molecular imaging that allow the interpretation of different metabolic biomarkers in the brain. However these procedures are considered of invasive nature, as they involve the injection of radioactive markers. On the other hand, Magnetic Resonance Imaging (MRI) is perhaps the most widely used and less invasive medical imaging technique, although its ability to detect Alzheimer's Disease has revealed limited. In this paper, a new method that simplifies the process of analysing 3D MRI brain images using a two dimensional projection is proposed. Our system outperforms other methods that use MRI, achieving up to a 86% of accuracy and significantly reducing the computational load. Additionally, it allows the visual analysis and interpretation of the images, which can be of great help in the diagnosis of this and other types of dementia.
Asunto(s)
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Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Encéfalo / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Diagnóstico por Computador / Enfermedad de Alzheimer Tipo de estudio: Diagnostic_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2014 Tipo del documento: Article País de afiliación: España
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Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Encéfalo / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Diagnóstico por Computador / Enfermedad de Alzheimer Tipo de estudio: Diagnostic_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2014 Tipo del documento: Article País de afiliación: España