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Journal Abstract Search

227 related items for PubMed ID: 16770332

  • 1. Validity of a new automated software program for visceral adipose tissue estimation.
    Demerath EW, Ritter KJ, Couch WA, Rogers NL, Moreno GM, Choh A, Lee M, Remsberg K, Czerwinski SA, Chumlea WC, Siervogel RM, Towne B.
    Int J Obes (Lond); 2007 Feb; 31(2):285-91. PubMed ID: 16770332
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  • 2. Comparison of methods for assessing abdominal adipose tissue from magnetic resonance images.
    Arif H, Racette SB, Villareal DT, Holloszy JO, Weiss EP.
    Obesity (Silver Spring); 2007 Sep; 15(9):2240-4. PubMed ID: 17890492
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  • 3. Automated and reproducible segmentation of visceral and subcutaneous adipose tissue from abdominal MRI.
    Kullberg J, Ahlström H, Johansson L, Frimmel H.
    Int J Obes (Lond); 2007 Dec; 31(12):1806-17. PubMed ID: 17593903
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  • 4. NIH ImageJ and Slice-O-Matic computed tomography imaging software to quantify soft tissue.
    Irving BA, Weltman JY, Brock DW, Davis CK, Gaesser GA, Weltman A.
    Obesity (Silver Spring); 2007 Feb; 15(2):370-6. PubMed ID: 17299110
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  • 5. Reproducibility and validity of ultrasound for the measurement of visceral and subcutaneous adipose tissues.
    Schlecht I, Wiggermann P, Behrens G, Fischer B, Koch M, Freese J, Rubin D, Nöthlings U, Stroszczynski C, Leitzmann MF.
    Metabolism; 2014 Dec; 63(12):1512-9. PubMed ID: 25242434
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  • 6. Automatic quantification of subcutaneous and visceral adipose tissue from whole-body magnetic resonance images suitable for large cohort studies.
    Wald D, Teucher B, Dinkel J, Kaaks R, Delorme S, Boeing H, Seidensaal K, Meinzer HP, Heimann T.
    J Magn Reson Imaging; 2012 Dec; 36(6):1421-34. PubMed ID: 22911921
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  • 7. Quantitative comparison and evaluation of software packages for assessment of abdominal adipose tissue distribution by magnetic resonance imaging.
    Bonekamp S, Ghosh P, Crawford S, Solga SF, Horska A, Brancati FL, Diehl AM, Smith S, Clark JM.
    Int J Obes (Lond); 2008 Jan; 32(1):100-11. PubMed ID: 17700582
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  • 8. Quantitative analysis of adipose tissue in single transverse slices for estimation of volumes of relevant fat tissue compartments: a study in a large cohort of subjects at risk for type 2 diabetes by MRI with comparison to anthropometric data.
    Schwenzer NF, Machann J, Schraml C, Springer F, Ludescher B, Stefan N, Häring H, Fritsche A, Claussen CD, Schick F.
    Invest Radiol; 2010 Dec; 45(12):788-94. PubMed ID: 20829704
    [Abstract] [Full Text] [Related]

  • 9. Chest Fat Quantification via CT Based on Standardized Anatomy Space in Adult Lung Transplant Candidates.
    Tong Y, Udupa JK, Torigian DA, Odhner D, Wu C, Pednekar G, Palmer S, Rozenshtein A, Shirk MA, Newell JD, Porteous M, Diamond JM, Christie JD, Lederer DJ.
    PLoS One; 2017 Dec; 12(1):e0168932. PubMed ID: 28046024
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  • 14. Validation of volumetric and single-slice MRI adipose analysis using a novel fully automated segmentation method.
    Addeman BT, Kutty S, Perkins TG, Soliman AS, Wiens CN, McCurdy CM, Beaton MD, Hegele RA, McKenzie CA.
    J Magn Reson Imaging; 2015 Jan; 41(1):233-41. PubMed ID: 24431195
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  • 15. Automated assessment of whole-body adipose tissue depots from continuously moving bed MRI: a feasibility study.
    Kullberg J, Johansson L, Ahlström H, Courivaud F, Koken P, Eggers H, Börnert P.
    J Magn Reson Imaging; 2009 Jul; 30(1):185-93. PubMed ID: 19557740
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