Automated assessment of whole‐body adipose tissue depots from continuously moving bed MRI: A feasibility study
暂无分享,去创建一个
Peter Börnert | Håkan Ahlström | Joel Kullberg | Holger Eggers | Peter Koken | Lars Johansson | P. Börnert | J. Kullberg | H. Eggers | L. Johansson | P. Koken | H. Ahlström | F. Courivaud | Frederic Courivaud
[1] Hugues Benoit-Cattin,et al. Intensity non-uniformity correction in MRI: Existing methods and their validation , 2006, Medical Image Anal..
[2] Michael Markl,et al. Multicoil Dixon chemical species separation with an iterative least‐squares estimation method , 2004, Magnetic resonance in medicine.
[3] 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.
[4] R. Ross. Advances in the application of imaging methods in applied and clinical physiology , 2003, Acta Diabetologica.
[5] F. Schick,et al. Standardized assessment of whole body adipose tissue topography by MRI , 2005, Journal of magnetic resonance imaging : JMRI.
[6] Luigi Landini,et al. Automatic correction of intensity inhomogeneities improves unsupervised assessment of abdominal fat by MRI , 2008, Journal of magnetic resonance imaging : JMRI.
[7] Hans Frimmel,et al. Whole‐body T1 mapping improves the definition of adipose tissue: Consequences for automated image analysis , 2006, Journal of magnetic resonance imaging : JMRI.
[8] Luigi Landini,et al. An accurate and robust method for unsupervised assessment of abdominal fat by MRI , 2004, Journal of magnetic resonance imaging : JMRI.
[9] J. Eng,et al. Sample Size Estimation : How Many Individuals Should Be Studied ? , 2022 .
[10] Peter Börnert,et al. Continuously moving table 3D MRI with lateral frequency‐encoding direction , 2006, Magnetic resonance in medicine.
[11] 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.
[12] J. Després,et al. Abdominal obesity and metabolic syndrome , 2006, Nature.
[13] J. Kullberg,et al. Automated and reproducible segmentation of visceral and subcutaneous adipose tissue from abdominal MRI , 2007, International Journal of Obesity.
[14] Hong Yan,et al. An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation , 2003, IEEE Transactions on Medical Imaging.
[15] E. Diamanti-Kandarakis. Role of obesity and adiposity in polycystic ovary syndrome , 2007, International Journal of Obesity.
[16] J V Hajnal,et al. Magnetic resonance imaging of total body fat. , 1998, Journal of applied physiology.
[17] Sergio Silvestri,et al. Biological effects of exposure to magnetic resonance imaging: an overview , 2004, Biomedical engineering online.
[18] B. Aldefeld,et al. Whole‐body 3D water/fat resolved continuously moving table imaging , 2007, Journal of magnetic resonance imaging : JMRI.
[19] 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.
[20] N. Otsu. A threshold selection method from gray level histograms , 1979 .
[21] G. Gold,et al. Iterative decomposition of water and fat with echo asymmetry and least‐squares estimation (IDEAL): Application with fast spin‐echo imaging , 2005, Magnetic resonance in medicine.
[22] L. Lönn,et al. Whole-body adipose tissue analysis: comparison of MRI, CT and dual energy X-ray absorptiometry. , 2009, The British journal of radiology.
[23] B. Aldefeld,et al. Respiratory-Gated Continuously Moving Table 3 D MRI , 2005 .
[24] S. Reeder,et al. Fat quantification with IDEAL gradient echo imaging: Correction of bias from T1 and noise , 2007, Magnetic resonance in medicine.
[25] M. Roizen. General and Abdominal Adiposity and Risk of Death in Europe , 2009 .
[26] Norbert J Pelc,et al. Field map estimation with a region growing scheme for iterative 3‐point water‐fat decomposition , 2005, Magnetic resonance in medicine.