A quantitative statistical analysis of perfusional medical images may provide powerful support to the early diagnosis for Alzheimer's Disease (AD). A Statistical Parametric Mapping algorithm (SPM), based on the comparison of the candidate with normal cases, has been validated by the neurological research community to quantify ipometabolic patterns in brain PET/SPECT studies. Since suitable 'normal patient' PET/SPECT images are rare and usually sparse and scattered across hospitals and research institutions, the Data Grid distributed analysis paradigm ('move code rather than input data') is well suited for implementing a remote statistical analysis use case, described in the present paper. Different Grid environments (LCG, AliEn) and their services have been used to implement the above-described use case and tackle the challenging problems related to the SPM-based early AD diagnosis. © 2006 The authors. All rights reserved

Bagnasco, S., Beltrame, F., Canesi, B., Castiglioni, I., Cerello, P., Cheran, S., et al. (2006). Early diagnosis of Alzheimer's disease using a grid implementation of statistical parametric mapping analysis. In CHALLENGES AND OPPORTUNITIES OF HEALTHGRIDS (pp.69-81). IOS Press.

Early diagnosis of Alzheimer's disease using a grid implementation of statistical parametric mapping analysis

Castiglioni, I;GILARDI, MARIA CARLA;
2006

Abstract

A quantitative statistical analysis of perfusional medical images may provide powerful support to the early diagnosis for Alzheimer's Disease (AD). A Statistical Parametric Mapping algorithm (SPM), based on the comparison of the candidate with normal cases, has been validated by the neurological research community to quantify ipometabolic patterns in brain PET/SPECT studies. Since suitable 'normal patient' PET/SPECT images are rare and usually sparse and scattered across hospitals and research institutions, the Data Grid distributed analysis paradigm ('move code rather than input data') is well suited for implementing a remote statistical analysis use case, described in the present paper. Different Grid environments (LCG, AliEn) and their services have been used to implement the above-described use case and tackle the challenging problems related to the SPM-based early AD diagnosis. © 2006 The authors. All rights reserved
paper
Alzheimer¿s disease, statistical analysis, distributed databases, grid computing,
English
HealthGrid Conference JUN 07-09
2006
Hernandez, V; Blanquer, I
CHALLENGES AND OPPORTUNITIES OF HEALTHGRIDS
978-1-58603-617-1
2006
120
69
81
none
Bagnasco, S., Beltrame, F., Canesi, B., Castiglioni, I., Cerello, P., Cheran, S., et al. (2006). Early diagnosis of Alzheimer's disease using a grid implementation of statistical parametric mapping analysis. In CHALLENGES AND OPPORTUNITIES OF HEALTHGRIDS (pp.69-81). IOS Press.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/2107
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