Literature DB >> 11747005

Improved high resolution MR imaging for surface coils using automated intensity non-uniformity correction: feasibility study in the orbit.

E A Vokurka1, N A Watson, Y Watson, N A Thacker, A Jackson.   

Abstract

This study examined the effects of a recently developed automated intensity non-uniformity correction on surface coil images using the orbit as an exemplar. Images were obtained using a standard head coil and a range of surface coils. Slices through the optic nerve head and cavernous sinus were subjected to the correction algorithm. Blind forced-choice rankings of the subjective image quality were performed. Quantitative measurements were taken of the similarity between vitreous humor at two depths from the coil, and of the conspicuity between orbital fat and temporalis muscle intensities. The combined qualitative ranks for corrected surface coil images were higher than for the equivalent uncorrected images in all cases. Intensity non-uniformity correction produced statistically significant improvements in orbital surface coil images, bringing their intensity uniformity in homogeneous tissue to the level of head coil images. The subjective quality of the corrected surface coil images was superior to head coil images, due to increased spatial resolution combined with improved signal to noise ratio across the image. Copyright 2001 Wiley-Liss, Inc.

Mesh:

Year:  2001        PMID: 11747005     DOI: 10.1002/jmri.1217

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

1.  Method for bias field correction of brain T1-weighted magnetic resonance images minimizing segmentation error.

Authors:  Juan D Gispert; Santiago Reig; Javier Pascau; Juan J Vaquero; Pedro García-Barreno; Manuel Desco
Journal:  Hum Brain Mapp       Date:  2004-06       Impact factor: 5.038

2.  Long-term reproducibility of phantom signal intensities in nonuniformity corrected STIR-MRI examinations of skeletal muscle.

Authors:  Alain R Viddeleer; Paul E Sijens; Peter M A van Ooijen; Paul D L Kuypers; Steven E R Hovius; Matthijs Oudkerk
Journal:  MAGMA       Date:  2009-02-24       Impact factor: 2.310

3.  A new bias field correction method combining N3 and FCM for improved segmentation of breast density on MRI.

Authors:  Muqing Lin; Siwa Chan; Jeon-Hor Chen; Daniel Chang; Ke Nie; Shih-Ting Chen; Cheng-Ju Lin; Tzu-Ching Shih; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

4.  A method for handling intensity inhomogenieties in fMRI sequences of moving anatomy of the early developing brain.

Authors:  Sharmishtaa Seshamani; Xi Cheng; Mads Fogtmann; Moriah E Thomason; Colin Studholme
Journal:  Med Image Anal       Date:  2013-11-06       Impact factor: 8.545

5.  Surface Coil Intensity Correction in Magnetic Resonance Imaging in Spinal Metastases.

Authors:  Hong Ren; Wei Lin; Xianjun Ding
Journal:  Open Med (Wars)       Date:  2017-05-20

6.  Quantitative analysis of image quality for acceptance and commissioning of an MRI simulator with a semiautomatic method.

Authors:  Xinyuan Chen; Jianrong Dai
Journal:  J Appl Clin Med Phys       Date:  2018-03-24       Impact factor: 2.102

7.  MRI enables accurate diagnosis and follow-up in uveal melanoma patients after vitrectomy.

Authors:  Myriam G Jaarsma-Coes; Teresa A Goncalves Ferreira; Guido R van Haren; Marina Marinkovic; Jan-Willem M Beenakker
Journal:  Melanoma Res       Date:  2019-12       Impact factor: 3.599

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.