Automated assessment of thigh composition using machine learning for Dixon magnetic resonance images

[1] Wells JCK(2006)Measuring body composition Arch Dis Child 91 612-617

[2] Fewtrell MS(1999)Cardiorespiratory fitness, body composition, and all-cause and cardiovascular disease mortality in men Am J Clin Nutr 69 373-380

[3] Do Lee C(2006)Decreased muscle strength and quality in older adults with type 2 diabetes. The health, aging, and body composition study Diabetes 55 1813-1818

[4] Blair SN(2009)Body-mass index and cause-specific mortality in 900,000 adults: collaborative analyses of 57 prospective studies Lancet 373 1083-1096

[5] Jackson AS(2011)National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9· 1 million participants Lancet 377 557-567

[6] Park SW(2015)Monocyte chemoattractant protein-1: a proinflammatory cytokine elevated in sarcopenic obesity Clin Interv Aging 10 605-609

[7] Goodpaster BH(2012)Sarcopenia in the elderly: basic and clinical issues Geriatr Gerontol Int 12 388-396

[8] Strotmeyer ES(2008)Dixon techniques for water and fat imaging J Magn Reson Imaging 28 543-558

[9] de Rekeneire N(2006)Accurate quantification of visceral adipose tissue (VAT) using water-saturation MRI and computer segmentation: preliminary results J Magn Reson Imaging 23 736-741

[10] Harris TB(2012)Automated quantification of muscle and fat in the thigh from water-, fat-, and nonsuppressed MR images J Magn Reson Imaging 35 1152-1161

[1] Wells JCK(2006)Measuring body composition Arch Dis Child 91 612-617

[2] Fewtrell MS(1999)Cardiorespiratory fitness, body composition, and all-cause and cardiovascular disease mortality in men Am J Clin Nutr 69 373-380

[3] Do Lee C(2006)Decreased muscle strength and quality in older adults with type 2 diabetes. The health, aging, and body composition study Diabetes 55 1813-1818

[4] Blair SN(2009)Body-mass index and cause-specific mortality in 900,000 adults: collaborative analyses of 57 prospective studies Lancet 373 1083-1096

[5] Jackson AS(2011)National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9· 1 million participants Lancet 377 557-567

[6] Park SW(2015)Monocyte chemoattractant protein-1: a proinflammatory cytokine elevated in sarcopenic obesity Clin Interv Aging 10 605-609

[7] Goodpaster BH(2012)Sarcopenia in the elderly: basic and clinical issues Geriatr Gerontol Int 12 388-396

[8] Strotmeyer ES(2008)Dixon techniques for water and fat imaging J Magn Reson Imaging 28 543-558

[9] de Rekeneire N(2006)Accurate quantification of visceral adipose tissue (VAT) using water-saturation MRI and computer segmentation: preliminary results J Magn Reson Imaging 23 736-741

[10] Harris TB(2012)Automated quantification of muscle and fat in the thigh from water-, fat-, and nonsuppressed MR images J Magn Reson Imaging 35 1152-1161