Literature DB >> 6530925

Nuclear magnetic resonance pulse sequence and discrimination of high- and low-fat tissues.

M A Foster, J M Hutchison, J R Mallard, M Fuller.   

Abstract

Signal size compared to independently measured T1 is described for various pulse sequences on the Aberdeen Mk II nuclear magnetic resonance imager. The ability of these sequences to discriminate between certain tissue types, and in particular between adipose tissue and muscle, is discussed. Inversion recovery, with a t interval of 200 ms, gives the best discrimination for this purpose, with a contrast ratio of 6 between fat and muscle. Other image types, and especially T1, give better contrast for low-lipid soft tissue such as liver and spleen.

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Year:  1984        PMID: 6530925     DOI: 10.1016/0730-725x(84)90004-3

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  9 in total

1.  Quantitative comparison and evaluation of software packages for assessment of abdominal adipose tissue distribution by magnetic resonance imaging.

Authors:  S Bonekamp; P Ghosh; S Crawford; S F Solga; A Horska; F L Brancati; A M Diehl; S Smith; J M Clark
Journal:  Int J Obes (Lond)       Date:  2007-08-14       Impact factor: 5.095

2.  Direct relationship of body mass index and waist circumference with body tissue distribution in elderly persons.

Authors:  A Scafoglieri; S Provyn; I Bautmans; P Van Roy; J P Clarys
Journal:  J Nutr Health Aging       Date:  2011-12       Impact factor: 4.075

3.  Hip abductor muscle volume in women with lateral hip pain: a case-controlled study.

Authors:  N A M S Flack; G R Meikle; M Reddy; H D Nicholson; S J Woodley
Journal:  Surg Radiol Anat       Date:  2012-04-12       Impact factor: 1.246

Review 4.  Assessment of analytical methods used to measure changes in body composition in the elderly and recommendations for their use in phase II clinical trials.

Authors:  M S Lustgarten; R A Fielding
Journal:  J Nutr Health Aging       Date:  2011-05       Impact factor: 4.075

5.  Assessing skeletal muscle mass: historical overview and state of the art.

Authors:  Steven B Heymsfield; Michael Adamek; M Cristina Gonzalez; Guang Jia; Diana M Thomas
Journal:  J Cachexia Sarcopenia Muscle       Date:  2014-02-15       Impact factor: 12.910

6.  Imaging body composition in obesity and weight loss: challenges and opportunities.

Authors:  Heidi J Silver; E Brian Welch; Malcolm J Avison; Kevin D Niswender
Journal:  Diabetes Metab Syndr Obes       Date:  2010-09-28       Impact factor: 3.168

7.  Quantitative and qualitative differences in subcutaneous adipose tissue stores across lipodystrophy types shown by magnetic resonance imaging.

Authors:  Salam A Al-Attar; Rebecca L Pollex; John F Robinson; Brooke A Miskie; Rhonda Walcarius; Cynthia Harper Little; Brian K Rutt; Robert A Hegele
Journal:  BMC Med Imaging       Date:  2007-03-12       Impact factor: 1.930

8.  Imaging body composition in cancer patients: visceral obesity, sarcopenia and sarcopenic obesity may impact on clinical outcome.

Authors:  Connie Yip; Charlotte Dinkel; Abhishek Mahajan; Musib Siddique; Gary J R Cook; Vicky Goh
Journal:  Insights Imaging       Date:  2015-06-13

9.  Reliability of MR-Based Volumetric 3-D Analysis of Pelvic Muscles among Subjects with Low Back with Leg Pain and Healthy Volunteers.

Authors:  Elżbieta Skorupska; Przemysław Keczmer; Rafał M Łochowski; Paulina Tomal; Michał Rychlik; Włodzimierz Samborski
Journal:  PLoS One       Date:  2016-07-26       Impact factor: 3.240

  9 in total

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