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Your search keyword '"Favetta, M"' showing total 2 results
Start Over Author "Favetta, M" Topic alzheimer disease
2 results on '"Favetta, M"'

1. Generating a minimal set of templates for the hippocampal region in MR neuroimages.

Author

Cataldo R, Agrusti A, De Nunzio G, Carlà A, De Mitri I, Favetta M, Quarta M, Monno L, Rei L, and Fiorina E

Subjects
Aged, Aged, 80 and over, Female, Humans, Italy, Male, Reference Values, Reproducibility of Results, Sensitivity and Specificity, Alzheimer Disease pathology, Hippocampus pathology, Image Interpretation, Computer-Assisted standards, Magnetic Resonance Imaging standards, Models, Anatomic, Models, Neurological, Subtraction Technique standards
Abstract

Objectives: We detail a procedure for generating a set of templates for the hippocampal region in magnetic resonance (MR) images, representative of the clinical conditions of the population under investigation., Methods: The first step is robust standardization of the intensity scale of brain MR images, belonging to patients with different degrees of neuropathology (Alzheimer's disease). So similar tissues have similar intensities, even across images coming from different sources. After the automatic extraction of the hippocampal region from a large dataset of images, we address template generation, choosing by clusterization methods a small number of the extracted regions., Results: We assess that template generation is largely independent on the clusterization method and on the number and the clinical condition of the patients. The templates are chosen as the most representative images in a population. The estimation of the "minimum" number of templates for the hippocampal region can be proposed, using a metric based on the geometrical position of the extracted regions., Conclusions: This study describes a simple and easily reproducible procedure to generate templates for the hippocampal region. It can be generalized and applied to other brain regions, which may be relevant for neuroimaging studies., (Copyright © 2012 by the American Society of Neuroimaging.)

Published
2013
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2. Automatic analysis of medial temporal lobe region for theearly assessment of Alzheimer disease (poster No. C-2464)

Author

Giorgio De Nunzio, Chincarini, A., Favetta, M., Masecchia, S., Monno, L., Rei, L., Retico, A., Tangaro, S., DE NUNZIO, Giorgio, A., Chincarini, M., Favetta, S., Masecchia, L., Monno, L., Rei, A., Retico, and S., Tangaro

Subjects
Alzheimer Disease, Hippocampus atrophy, Image Analysis
Abstract

Purpose: The hippocampus, located in the medial temporal lobe (MTL), plays an essential role in learning and memory functions. Because of its frequent and early involvement in Alzheimer's disease (AD) and other neurodegenerative diseases, it is often targeted by both structural and functional imaging. Our aim is to increase the likelihood of early recognition and assessment of AD. Methods and Materials: We propose an approach that does not directly tackle the objective of hippocampal segmentation, but simply extracts from the right and left sides of a MR image two small fixed-size, parallelepiped-shaped sub images containing the hippocampi and adjacent structures (Hippocampal Boxes, HBs). We developed an automatic procedure for selecting an optimal number of HBs, starting from which we can extract both hippocampal formations in any MR image. We discriminate between controls and AD. This way MCI population can be evaluated and a prediction on the conversion to AD is made. Results: We extracted HBs from a set of 532 images from different sources, and developed a method to discriminate between converters and non converters to AD in a MCI population. The separation between Control and AD, measured as the area under the ROC curve, is 86,3%. For the Normal vs. Converted to AD cohorts, the area under the ROC curve is 88%. The forecast is checked against clinical follow up. Conclusion: The proposed approach consists in the possibility of automatically performing morphometric studies on the MTL. This procedure can quickly and reliably provide additional information in early AD diagnosis. The study has been established within the framework of the MAGIC-5 collaboration.

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