Literature DB >> 12881577

Sensitivity encoding for fast MR imaging of the brain in patients with stroke.

Winfried A Willinek1, Jürgen Gieseke, Marcus von Falkenhausen, Barbara Neuen, Hans H Schild, Christiane K Kuhl.   

Abstract

PURPOSE: To evaluate sensitivity encoding (SENSE) technique in a clinical setting for magnetic resonance (MR) imaging in patients who are suspected of having infarction.
MATERIALS AND METHODS: This intraindividual comparative study included 62 patients suspected of having cerebral ischemia. Patients underwent T2-weighted fluid-attenuated inversion-recovery (FLAIR) (n = 62), T2-weighted turbo spin-echo (TSE) (n = 48), and single-shot echo-planar diffusion-weighted imaging (n = 27) with standard sequential and SENSE MR acquisitions with a 1.5-T magnet and phased-array coil. With SENSE, acquisition time was reduced from 1 minute 12 seconds to 35 seconds for FLAIR and from 1 minute 18 seconds to 39 seconds for T2-weighted TSE imaging. For diffusion-weighted imaging, echo train length was shortened (78 vs 71 msec) to reduce susceptibility effects while acquisition time was maintained. Two radiologists scored quality of standard and SENSE images with a five-point scale and assessed presence of artifacts (motion, susceptibility) and lesion conspicuity. To assess statistical significance, Wilcoxon signed rank and chi2 tests were used.
RESULTS: Statistical analysis revealed no significant difference in terms of image quality and presence of artifacts between standard and SENSE T2-weighted TSE (image quality, P =.724; presence of artifacts, P =.378) and FLAIR (image quality, P =.127; presence of artifacts, P =.275) images. Image quality at SENSE diffusion-weighted imaging was scored significantly higher compared with that at standard diffusion-weighted imaging (P =.002). Susceptibility artifacts were significantly reduced at SENSE diffusion-weighted imaging when compared with those at standard diffusion-weighted imaging (P <.001). Conspicuity of 84 lesions was rated equivalent with both standard and SENSE protocols.
CONCLUSION: SENSE allowed acquisition of T2-weighted TSE and FLAIR images with image quality and lesion conspicuity that did not differ from those of standard acquisition techniques but in only half the acquisition time. Use of SENSE with diffusion-weighted imaging significantly reduces susceptibility artifacts while lesion conspicuity is maintained.

Entities:  

Mesh:

Year:  2003        PMID: 12881577     DOI: 10.1148/radiol.2283020243

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


  8 in total

1.  Comparison of generalized autocalibrating partially parallel acquisitions and modified sensitivity encoding for diffusion tensor imaging.

Authors:  Y A Bhagat; D J Emery; S Naik; T Yeo; C Beaulieu
Journal:  AJNR Am J Neuroradiol       Date:  2007-02       Impact factor: 3.825

2.  Quantitative assessment of diffusion-weighted MR imaging in patients with primary rectal cancer: correlation with FDG-PET/CT.

Authors:  Jing Gu; Pek-Lan Khong; Silun Wang; Queenie Chan; Wailun Law; Jingbo Zhang
Journal:  Mol Imaging Biol       Date:  2010-09-25       Impact factor: 3.488

Review 3.  [Diffusion-weighted imaging of the pancreas].

Authors:  K Grünberg; L Grenacher; M Klauss
Journal:  Radiologe       Date:  2011-03       Impact factor: 0.635

4.  Value of MRI in medicine: More than just another test?

Authors:  Edwin J R van Beek; Christiane Kuhl; Yoshimi Anzai; Patricia Desmond; Richard L Ehman; Qiyong Gong; Garry Gold; Vikas Gulani; Margaret Hall-Craggs; Tim Leiner; C C Tschoyoson Lim; James G Pipe; Scott Reeder; Caroline Reinhold; Marion Smits; Daniel K Sodickson; Clare Tempany; H Alberto Vargas; Meiyun Wang
Journal:  J Magn Reson Imaging       Date:  2018-08-25       Impact factor: 4.813

5.  Comparison of diffusion-weighted images using short inversion time inversion recovery or chemical shift selective pulse as fat suppression in patients with breast cancer.

Authors:  Toshiki Kazama; Katsuhiro Nasu; Yoshifumi Kuroki; Shigeru Nawano; Hisao Ito
Journal:  Jpn J Radiol       Date:  2009-06-06       Impact factor: 2.374

Review 6.  What are white matter hyperintensities made of? Relevance to vascular cognitive impairment.

Authors:  Joanna M Wardlaw; Maria C Valdés Hernández; Susana Muñoz-Maniega
Journal:  J Am Heart Assoc       Date:  2015-06-23       Impact factor: 5.501

7.  [3.0T MR diffusion-weighted imaging: evaluating diagnosis potency of pulmonary solid benign lesions and malignant tumors and optimizing b value].

Authors:  Weidong Li; Dong Li; Haidong Liu; Rongchao Zhou; Changchao Feng; Yan Ma; Tielian Yu
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2011-11

8.  On the computational assessment of white matter hyperintensity progression: difficulties in method selection and bias field correction performance on images with significant white matter pathology.

Authors:  Maria Del C Valdés Hernández; Victor González-Castro; Dina T Ghandour; Xin Wang; Fergus Doubal; Susana Muñoz Maniega; Paul A Armitage; Joanna M Wardlaw
Journal:  Neuroradiology       Date:  2016-01-30       Impact factor: 2.804

  8 in total

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