Literature DB >> 30004791

MRI adipose tissue and muscle composition analysis-a review of automation techniques.

Magnus Borga1.   

Abstract

MRI is becoming more frequently used in studies involving measurements of adipose tissue and volume and composition of skeletal muscles. The large amount of data generated by MRI calls for automated analysis methods. This review article presents a summary of automated and semi-automated techniques published between 2013 and 2017. Technical aspects and clinical applications for MRI-based adipose tissue and muscle composition analysis are discussed based on recently published studies. The conclusion is that very few clinical studies have used highly automated analysis methods, despite the rapidly increasing use of MRI for body composition analysis. Possible reasons for this are that the availability of highly automated methods has been limited for non-imaging experts, and also that there is a limited number of studies investigating the reproducibility of automated methods for MRI-based body composition analysis.

Mesh:

Year:  2018        PMID: 30004791      PMCID: PMC6223175          DOI: 10.1259/bjr.20180252

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  95 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.  Test-retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects.

Authors:  David Newman; Christian Kelly-Morland; Olof Dahlqvist Leinhard; Bahman Kasmai; Richard Greenwood; Paul N Malcolm; Thobias Romu; Magnus Borga; Andoni P Toms
Journal:  J Magn Reson Imaging       Date:  2016-06-01       Impact factor: 4.813

3.  Identification of brown adipose tissue in mice with fat-water IDEAL-MRI.

Authors:  Houchun H Hu; Daniel L Smith; Krishna S Nayak; Michael I Goran; Tim R Nagy
Journal:  J Magn Reson Imaging       Date:  2010-05       Impact factor: 4.813

Review 4.  Gradient-echo MR imaging: techniques and acronyms.

Authors:  A D Elster
Journal:  Radiology       Date:  1993-01       Impact factor: 11.105

5.  Circulating selenoprotein P levels in relation to MRI-derived body fat volumes, liver fat content, and metabolic disorders.

Authors:  Romina di Giuseppe; Manja Koch; Sabrina Schlesinger; Jan Borggrefe; Marcus Both; Hans-Peter Müller; Jan Kassubek; Gunnar Jacobs; Ute Nöthlings; Wolfgang Lieb
Journal:  Obesity (Silver Spring)       Date:  2017-05-05       Impact factor: 5.002

6.  Faster eating rates are associated with higher energy intakes during an ad libitum meal, higher BMI and greater adiposity among 4·5-year-old children: results from the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) cohort.

Authors:  Anna Fogel; Ai Ting Goh; Lisa R Fries; Suresh A Sadananthan; S Sendhil Velan; Navin Michael; Mya-Thway Tint; Marielle V Fortier; Mei Jun Chan; Jia Ying Toh; Yap-Seng Chong; Kok Hian Tan; Fabian Yap; Lynette P Shek; Michael J Meaney; Birit F P Broekman; Yung Seng Lee; Keith M Godfrey; Mary F F Chong; Ciarán G Forde
Journal:  Br J Nutr       Date:  2017-05-02       Impact factor: 3.718

7.  The Generalized Log-Ratio Transformation: Learning Shape and Adjacency Priors for Simultaneous Thigh Muscle Segmentation.

Authors:  Shawn Andrews; Ghassan Hamarneh
Journal:  IEEE Trans Med Imaging       Date:  2015-02-12       Impact factor: 10.048

8.  Automated quantification of abdominal adiposity by magnetic resonance imaging.

Authors:  Jingjing Sun; Bugao Xu; Jeanne Freeland-Graves
Journal:  Am J Hum Biol       Date:  2016-04-28       Impact factor: 1.937

9.  Measurements of total and regional body composition in preschool children: A comparison of MRI, DXA, and anthropometric data.

Authors:  Ann-Katrine Karlsson; Joel Kullberg; Eira Stokland; Kerstin Allvin; Eva Gronowitz; Pär-Arne Svensson; Jovanna Dahlgren
Journal:  Obesity (Silver Spring)       Date:  2013-05       Impact factor: 5.002

10.  UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.

Authors:  Cathie Sudlow; John Gallacher; Naomi Allen; Valerie Beral; Paul Burton; John Danesh; Paul Downey; Paul Elliott; Jane Green; Martin Landray; Bette Liu; Paul Matthews; Giok Ong; Jill Pell; Alan Silman; Alan Young; Tim Sprosen; Tim Peakman; Rory Collins
Journal:  PLoS Med       Date:  2015-03-31       Impact factor: 11.069

View more
  5 in total

1.  The role of imaging in obesity special feature.

Authors:  Stuart A Taylor; Laura R Carucci
Journal:  Br J Radiol       Date:  2018-09       Impact factor: 3.039

Review 2.  Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy.

Authors:  Doris G Leung
Journal:  Muscle Nerve       Date:  2019-05-14       Impact factor: 3.217

3.  Automated Segmentation of Visceral, Deep Subcutaneous, and Superficial Subcutaneous Adipose Tissue Volumes in MRI of Neonates and Young Children.

Authors:  Yeshe Manuel Kway; Kashthuri Thirumurugan; Mya Thway Tint; Navin Michael; Lynette Pei-Chi Shek; Fabian Kok Peng Yap; Kok Hian Tan; Keith M Godfrey; Yap Seng Chong; Marielle Valerie Fortier; Ute C Marx; Johan G Eriksson; Yung Seng Lee; S Sendhil Velan; Mengling Feng; Suresh Anand Sadananthan
Journal:  Radiol Artif Intell       Date:  2021-07-28

4.  Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies.

Authors:  Thomas Küstner; Tobias Hepp; Marc Fischer; Martin Schwartz; Andreas Fritsche; Hans-Ulrich Häring; Konstantin Nikolaou; Fabian Bamberg; Bin Yang; Fritz Schick; Sergios Gatidis; Jürgen Machann
Journal:  Radiol Artif Intell       Date:  2020-10-28

Review 5.  Antimicrobial Dosing in Specific Populations and Novel Clinical Methodologies: Obesity.

Authors:  Manjunath P Pai
Journal:  Clin Pharmacol Ther       Date:  2021-02-28       Impact factor: 6.875

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.