Format
Items per page
Sort by

Send to:

Choose Destination

Links from PubMed

Items: 1 to 20 of 121

1.

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. doi: 10.1002/jmri.24526. Epub 2014 Jan 15.

PMID:
24431195
2.

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. Epub 2007 Aug 14.

3.

Automatic intra-subject registration-based segmentation of abdominal fat from water-fat MRI.

Joshi AA, Hu HH, Leahy RM, Goran MI, Nayak KS.

J Magn Reson Imaging. 2013 Feb;37(2):423-30. doi: 10.1002/jmri.23813. Epub 2012 Sep 25.

4.

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. Epub 2007 Jun 26.

PMID:
17593903
5.

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

Kullberg J, Karlsson AK, Stokland E, Svensson PA, Dahlgren J.

J Magn Reson Imaging. 2010 Jul;32(1):204-10. doi: 10.1002/jmri.22193.

PMID:
20575078
6.

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. Epub 2006 Jun 13.

7.

Software for automated MRI-based quantification of abdominal fat and preliminary evaluation in morbidly obese patients.

Thörmer G, Bertram HH, Garnov N, Peter V, Schütz T, Shang E, Blüher M, Kahn T, Busse H.

J Magn Reson Imaging. 2013 May;37(5):1144-50. doi: 10.1002/jmri.23890. Epub 2012 Nov 2.

PMID:
23124651
8.

Adipose tissue MRI for quantitative measurement of central obesity.

Poonawalla AH, Sjoberg BP, Rehm JL, Hernando D, Hines CD, Irarrazaval P, Reeder SB.

J Magn Reson Imaging. 2013 Mar;37(3):707-16. doi: 10.1002/jmri.23846. Epub 2012 Oct 10.

9.

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. doi: 10.1002/jmri.23775. Epub 2012 Aug 21.

PMID:
22911921
10.

Fully automated large-scale assessment of visceral and subcutaneous abdominal adipose tissue by magnetic resonance imaging.

Liou TH, Chan WP, Pan LC, Lin PW, Chou P, Chen CH.

Int J Obes (Lond). 2006 May;30(5):844-52.

PMID:
16418756
11.

[Rapid total body fat measurement by magnetic resonance imaging: quantification and topography].

Vogt FM, Ruehm S, Hunold P, de Greiff A, Nuefer M, Barkhausen J, Ladd SC.

Rofo. 2007 May;179(5):480-6. Epub 2007 Mar 21. German.

PMID:
17377875
12.

Automatic correction of intensity inhomogeneities improves unsupervised assessment of abdominal fat by MRI.

Positano V, Cusi K, Santarelli MF, Sironi A, Petz R, Defronzo R, Landini L, Gastaldelli A.

J Magn Reson Imaging. 2008 Aug;28(2):403-10. doi: 10.1002/jmri.21448.

PMID:
18666138
13.

Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method.

Wu S, Weinstein SP, Conant EF, Kontos D.

Med Phys. 2013 Dec;40(12):122302. doi: 10.1118/1.4829496.

14.

Novel segmentation method for abdominal fat quantification by MRI.

Zhou A, Murillo H, Peng Q.

J Magn Reson Imaging. 2011 Oct;34(4):852-60. doi: 10.1002/jmri.22673. Epub 2011 Jul 18.

PMID:
21769972
15.

Automatic abdominal fat assessment in obese mice using a segmental shape model.

Tang Y, Sharma P, Nelson MD, Simerly R, Moats RA.

J Magn Reson Imaging. 2011 Oct;34(4):866-73. doi: 10.1002/jmri.22690. Epub 2011 Jul 18.

PMID:
21769982
16.

Automated quantification of abdominal adiposity by magnetic resonance imaging.

Sun J, Xu B, Freeland-Graves J.

Am J Hum Biol. 2016 Apr 28. doi: 10.1002/ajhb.22862. [Epub ahead of print]

PMID:
27121449
17.

[MRI of intra-abdominal fat and HIV-associated lipodystrophy: a case review].

Carlier RY, De Truchis P, Ronze S, Mompoint D, Vallée C, Melchior JC.

J Radiol. 2007 Jul-Aug;88(7-8 Pt 1):947-56. French.

18.

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. doi: 10.1002/jmri.21820.

PMID:
19557740
19.

Quantitative MRI for hepatic fat fraction and T2* measurement in pediatric patients with non-alcoholic fatty liver disease.

Deng J, Fishbein MH, Rigsby CK, Zhang G, Schoeneman SE, Donaldson JS.

Pediatr Radiol. 2014 Nov;44(11):1379-87. doi: 10.1007/s00247-014-3024-y. Epub 2014 May 20.

PMID:
24840769
20.

Influence of undersampling on magnetic resonance imaging measurements of intra-abdominal adipose tissue.

Thomas EL, Bell JD.

Int J Obes Relat Metab Disord. 2003 Feb;27(2):211-8.

PMID:
12587001
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk