Literature DB >> 3704157

Separation of true fat and water images by correcting magnetic field inhomogeneity in situ.

H N Yeung, D W Kormos.   

Abstract

Dixon's method of chemical shift imaging of a two-component system is modified and extended without requiring additional imaging time. The modified method allows one to obtain truly segregated fat and water images of animal tissues. This is accomplished by acquiring additional image data from which information about in situ magnetic field inhomogeneity and bulk magnetic susceptibility can be derived. Applications to various anatomic sections of the normal human body are illustrated. The method is compared with the standard Dixon technique of chemical shift image separation.

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Year:  1986        PMID： 3704157     DOI： 10.1148/radiology.159.3.3704157

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


  13 in total

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5.  Lipid elimination with an echo-shifting N/2-ghost acquisition (LEENA) MRI.

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6.  High-resolution rapid neonatal whole-body composition using 3.0 Tesla chemical shift magnetic resonance imaging.

Authors:  Jonathan P Dyke; Amanda C Garfinkel; Alan M Groves; Arzu Kovanlikaya
Journal:  Pediatr Res       Date:  2017-12-20       Impact factor: 3.756

7.  Fracture of ankle: MRI using opposed-phase imaging obtained from turbo spin echo modified Dixon image shows improved sensitivity.

Authors:  Jin Hee You; In Hwan Kim; Jinwoo Hwang; Hye Sun Lee; Eun Hae Park
Journal:  Br J Radiol       Date:  2018-06-05       Impact factor: 3.039

8.  A novel spectrally selective fat saturation pulse design with robustness to B0 and B1 inhomogeneities: A demonstration on 3D T1-weighted breast MRI at 3 T.

Authors:  Feng Xu; Wenbo Li; Dapeng Liu; Dan Zhu; Michael Schär; Kelly Myers; Qin Qin
Journal:  Magn Reson Imaging       Date:  2020-10-29       Impact factor: 2.546

9.  Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging as a biomarker for symptomatic multiple myeloma.

Authors:  Miyuki Takasu; Yoko Kaichi; Chihiro Tani; Shuji Date; Yuji Akiyama; Yoshiaki Kuroda; Akira Sakai; Kazuo Awai
Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

10.  Magnetic resonance evaluation of multiple myeloma at 3.0 Tesla: how do bone marrow plasma cell percentage and selection of protocols affect lesion conspicuity?

Authors:  Miyuki Takasu; Takayuki Tamura; Yoko Kaichi; Keizo Tanitame; Yuji Akiyama; Shuji Date; Akira Sakai; Yoshiaki Kuroda; Kazuo Awai
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240
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