http://www.cnr.it/ontology/cnr/individuo/prodotto/ID171779

Multi-Site Transferability of Image Analysis Methods for Assessing Visceral Adipose Tissue by MRI (Abstract/Poster in atti di convegno)

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Multi-Site Transferability of Image Analysis Methods for Assessing Visceral Adipose Tissue by MRI (Abstract/Poster in atti di convegno) (literal)

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Positano V.; Forestieri F.; Petz R.; Di Gregorio E.; Santarelli M. F.; Landini L.; Gastaldelli A. (2009)
Multi-Site Transferability of Image Analysis Methods for Assessing Visceral Adipose Tissue by MRI
in ISMRM 17th Scientific Meeting & Exhibition, Honolulu (Hawaii, USA)
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Positano V.; Forestieri F.; Petz R.; Di Gregorio E.; Santarelli M. F.; Landini L.; Gastaldelli A. (literal)

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In: ISMRM 2009 - ISMRM 17th Scientific Meeting & Exhibition (Honolulu (Hawaii, USA), 18-24 April 2009). Abstract, vol. 17 p. 4086. ISMRM, 2009. (literal)

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MRI represents the best diagnostic tool for assessment of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT), that are important risk factors in several metabolic diseases and cardiovascular pathologies. Several image processing algorithms were developed and validated for fast assessment of adipose tissue distribution [1,2]. In particular, VAT assessment is a challenging task due to complex structure of viscera. Commonly used methods for VAT evaluation are manual VAT delineation and automatic or semi-automatic segmentation based on histogram values or a user-defined threshold. Aim of this study is to verify the transferability of these different image processing approaches among images acquired with different scanner and sequences. (literal)

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