1000 resultados para Volume Expiratório Forçado
Resumo:
IRENE’s mission is to improve the health and well-being of Iowans through collaboration in practice-based research on questions important to primary care physicians and their patients. IRENE’s purpose is to create and foster a network of research collaboration between the academic medical center and primary care physicians through out the state of Iowa with a particular focus on improving rural health.
Resumo:
IRENE’s mission is to improve the health and well-being of Iowans through collaboration in practice-based research on questions important to primary care physicians and their patients. IRENE’s purpose is to create and foster a network of research collaboration between the academic medical center and primary care physicians through out the state of Iowa with a particular focus on improving rural health.
Resumo:
IRENE’s mission is to improve the health and well-being of Iowans through collaboration in practice-based research on questions important to primary care physicians and their patients. IRENE’s purpose is to create and foster a network of research collaboration between the academic medical center and primary care physicians through out the state of Iowa with a particular focus on improving rural health.
Resumo:
IRENE’s mission is to improve the health and well-being of Iowans through collaboration in practice-based research on questions important to primary care physicians and their patients. IRENE’s purpose is to create and foster a network of research collaboration between the academic medical center and primary care physicians through out the state of Iowa with a particular focus on improving rural health.
Resumo:
IRENE’s mission is to improve the health and well-being of Iowans through collaboration in practice-based research on questions important to primary care physicians and their patients. IRENE’s purpose is to create and foster a network of research collaboration between the academic medical center and primary care physicians through out the state of Iowa with a particular focus on improving rural health.
Resumo:
IRENE’s mission is to improve the health and well-being of Iowans through collaboration in practice-based research on questions important to primary care physicians and their patients. IRENE’s purpose is to create and foster a network of research collaboration between the academic medical center and primary care physicians through out the state of Iowa with a particular focus on improving rural health.
Resumo:
IRENE’s mission is to improve the health and well-being of Iowans through collaboration in practice-based research on questions important to primary care physicians and their patients. IRENE’s purpose is to create and foster a network of research collaboration between the academic medical center and primary care physicians through out the state of Iowa with a particular focus on improving rural health.
Resumo:
IRENE’s mission is to improve the health and well-being of Iowans through collaboration in practice-based research on questions important to primary care physicians and their patients. IRENE’s purpose is to create and foster a network of research collaboration between the academic medical center and primary care physicians through out the state of Iowa with a particular focus on improving rural health.
Resumo:
University of Iowa Department of Anesthesia newsletter.
Resumo:
University of Iowa Department of Anesthesia newsletter.
Resumo:
University of Iowa Department of Anesthesia newsletter.
Resumo:
Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer's disease (AD) related brain atrophy and to enable fairly accurate automated classification of AD patients, mild cognitive impaired patients (MCI) and elderly controls. Little is known, however, about the classification power of volume-based morphometry, where features of interest consist of a few brain structure volumes (e.g. hippocampi, lobes, ventricles) as opposed to hundreds of thousands of voxel-wise gray matter concentrations. In this work, we experimentally evaluate two distinct volume-based morphometry algorithms (FreeSurfer and an in-house algorithm called MorphoBox) for automatic disease classification on a standardized data set from the Alzheimer's Disease Neuroimaging Initiative. Results indicate that both algorithms achieve classification accuracy comparable to the conventional whole-brain voxel-based morphometry pipeline using SPM for AD vs elderly controls and MCI vs controls, and higher accuracy for classification of AD vs MCI and early vs late AD converters, thereby demonstrating the potential of volume-based morphometry to assist diagnosis of mild cognitive impairment and Alzheimer's disease.