Literature DB >> 2006302

Prostatic MR imaging performed with the three-point Dixon technique. Work in progress.

B Tamler1, F G Sommer, G H Glover, E Schneider.   

Abstract

The three-point Dixon technique is an enhancement of the original Dixon method for the creation of water- and fat-proton magnetic resonance (MR) images. With the three-point Dixon technique, three measurements of phase shift at 0, pi, and -pi between the fat and water resonances are employed. Compensation for B0 inhomogeneity leads to an error-free decomposition into water- and fat-proton images; an accurate B0 map is also created. The lack of chemical shift artifact in the water- and fat-selective MR images permits the application of narrow receive bandwidth for the creation of T2-weighted images with a high signal-to-noise ratio. The technique was applied in vivo with four healthy subjects, seven patients with prostatic carcinoma, and one patient with benign prostatic hypertrophy and compared with conventional T2-weighted imaging. The three-point technique yielded images with improved definition of normal intraprostatic structures and zonal anatomy and, in some cases of prostatic carcinoma, provided better visualization of extraprostatic spread of tumor.

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Year:  1991        PMID: 2006302     DOI: 10.1148/radiology.179.1.2006302

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


  2 in total

1.  Fast three-point Dixon MR imaging of the retrobulbar space with low-resolution images for phase correction: comparison with fast spin-echo inversion recovery imaging.

Authors:  F J Rybicki; R V Mulkern; R L Robertson; C D Robson; T Chung; J Ma
Journal:  AJNR Am J Neuroradiol       Date:  2001-10       Impact factor: 3.825

2.  Fat Suppressed Contrast-Enhanced T1-Weighted Dynamic Magnetic Resonance Imaging at 3T: Comparison of Image Quality Between Spectrally Adiabatic Iversion Recovery and the Multiecho Dixon Technique in Imaging of the Prostate.

Authors:  Yuji Iyama; Takeshi Nakaura; Masafumi Kidoh; Kazuhiro Katahira; Tomohiro Namimoto; Shoji Morishita; Yasuyuki Yamashita
Journal:  J Comput Assist Tomogr       Date:  2017 May/Jun       Impact factor: 1.826

  2 in total

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