Literature DB >> 11390192

A method of radio-frequency inhomogeneity correction for brain tissue segmentation in MRI.

L Q Zhou1, Y M Zhu, C Bergot, A M Laval-Jeantet, V Bousson, J D Laredo, M Laval-Jeantet.   

Abstract

An automatic method of correcting radio-frequency (RF) inhomogeneity in magnetic resonance images is presented. The method considers that image intensity variation due to radio-frequency inhomogeneity contains not only low frequency components, but also high frequency components. The variation is regarded as a multiplication of low frequency (capacity variation of coil) and the frequency of object (true image). The efficiency of the proposed method is illustrated with the aid of both phantom and physical images. The impact of the inhomogeneity correction on brain tissue segmentation is studied in detail. The results show significant improvement of the tissue segmentation after inhomogeneity correction.

Mesh：

Year:  2001        PMID： 11390192     DOI： 10.1016/s0895-6111(01)00006-4

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN： 0895-6111            Impact factor:   4.790


  5 in total

1.  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

2.  Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net.

Authors:  Yang Zhang; Jeon-Hor Chen; Kai-Ting Chang; Vivian Youngjean Park; Min Jung Kim; Siwa Chan; Peter Chang; Daniel Chow; Alex Luk; Tiffany Kwong; Min-Ying Su
Journal:  Acad Radiol       Date:  2019-01-31       Impact factor: 3.173

3.  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

4.  Spinal cord atrophy and disability in multiple sclerosis over four years: application of a reproducible automated technique in monitoring disease progression in a cohort of the interferon beta-1a (Rebif) treatment trial.

Authors:  X Lin; C R Tench; B Turner; L D Blumhardt; C S Constantinescu
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-08       Impact factor: 10.154

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
  5 in total

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