Water–fat separation with IDEAL gradient‐echo imaging

By S. Reeder, C. McKenzie, A. Pineda, Huanzhou Yu, A. Shimakawa, A. Brau, Brian A. Hargreaves, Garry Gold, J. Brittain. Journal of Magnetic Resonance Imaging, 2007

361 citations recorded by the source corpus.

Subfields: Computational Mechanics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/8c1ee8612b7be1b8b24d112e614f6124859d470a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. N. Schwenzer
2. F. Springer
3. N. Stefan
4. Irene Cruite
5. C. Schraml
6. G. Hamilton
7. J. Machann
8. Claude B. Sirlin

Citations in the corpus

• Quantitative Assessment of Liver Fat with Magnetic Resonance Imaging and Spectroscopy (2011, background): “Estimation of complex water and fat signals can then be performed using a variety of nonlinear estimation methods such as IDEAL(55,62) or VARPRO(56).”
• Non-invasive assessment and quantification of liver steatosis by ultrasound, computed tomography and magnetic resonance. (2009, background): “Combined with gradient echo imaging it provides robust fat–water separation even in the presence of inhomogeneities of the static magnetic field [140].”