Adipose tissue distribution in children: Automated quantification using water and fat MRI

To develop and validate a method for rapid acquisition and automated processing of magnetic resonance (MR) images for analysis of abdominal adipose tissue distribution in children.

[1]  Hong Yan,et al.  An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation , 2003, IEEE Transactions on Medical Imaging.

[2]  Jayaram K. Udupa,et al.  A framework for evaluating image segmentation algorithms , 2006, Comput. Medical Imaging Graph..

[3]  T. Harris,et al.  Waist circumference and mortality. , 2008, American journal of epidemiology.

[4]  Katherine M Flegal,et al.  Prevalence and trends in overweight among US children and adolescents, 1999-2000. , 2002, JAMA.

[5]  W. Dietz.  The obesity epidemic in young children , 2001, BMJ : British Medical Journal.

[6]  J. Seidell,et al.  Reproducibility of fat area measurements in young, non-obese subjects by computerized analysis of magnetic resonance images , 1997, International Journal of Obesity.

[7]  Sonia Caprio,et al.  Prediabetes in obese youth: a syndrome of impaired glucose tolerance, severe insulin resistance, and altered myocellular and abdominal fat partitioning , 2003, The Lancet.

[8]  C. Block,et al.  Mechanisms linking obesity with cardiovascular disease , 2006, Nature.

[9]  R. Ross.  Advances in the application of imaging methods in applied and clinical physiology , 2003, Acta Diabetologica.

[10]  Luigi Landini,et al.  Automatic correction of intensity inhomogeneities improves unsupervised assessment of abdominal fat by MRI , 2008, Journal of magnetic resonance imaging : JMRI.

[11]  J. Després,et al.  Abdominal obesity and metabolic syndrome , 2006, Nature.

[12]  Qing He,et al.  Prediction of Adult Overweight during the Pediatric Years , 1999, Pediatric Research.

[13]  Peter Börnert,et al.  Automated assessment of whole‐body adipose tissue depots from continuously moving bed MRI: A feasibility study , 2009, Journal of magnetic resonance imaging : JMRI.

[14]  A. Horská,et al.  Quantitative comparison and evaluation of software packages for assessment of abdominal adipose tissue distribution by magnetic resonance imaging , 2008, International Journal of Obesity.

[15]  R. Bergström,et al.  Prevalence trends of obesity and overweight among 10‐year‐old children in western Sweden and relationship with parental body mass index , 2004, Acta paediatrica.

[16]  J V Hajnal,et al.  Magnetic resonance imaging of total body fat. , 1998, Journal of applied physiology.

[17]  S B Heymsfield,et al.  Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography. , 1998, Journal of applied physiology.

[18]  P-W Lin,et al.  Fully automated large-scale assessment of visceral and subcutaneous abdominal adipose tissue by magnetic resonance imaging , 2006, International Journal of Obesity.

[19]  D. Allison,et al.  Sexual dimorphism of adipose tissue distribution across the lifespan: a cross-sectional whole-body magnetic resonance imaging study , 2009, Nutrition & metabolism.

[20]  J. Seo.  Obesity in children and adolescents , 2009 .

[21]  K. Ellis.  Human body composition: in vivo methods. , 2000, Physiological reviews.

[22]  Luigi Landini,et al.  An accurate and robust method for unsupervised assessment of abdominal fat by MRI , 2004, Journal of magnetic resonance imaging : JMRI.

[23]  J. Kullberg,et al.  Automated and reproducible segmentation of visceral and subcutaneous adipose tissue from abdominal MRI , 2007, International Journal of Obesity.