Literature DB >> 17354788

A fast and automatic method to correct intensity inhomogeneity in MR brain images.

Zujun Hou1, Su Huang, Qingmao Hu, Wieslaw L Nowinski.   

Abstract

This paper presents a method to improve the semi-automatic method for intensity inhomogeneity correction by Dawant et al. through introducing a fully automatic approach to reference points generation, which is based on order statistics and integrates information from the fine to coarse scale representations of the input image. The method has been validated and compared with two popular methods, N3 and BFC. Advantages of the proposed method are demonstrated.

Mesh:

Year:  2006        PMID: 17354788     DOI: 10.1007/11866763_40

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  6 in total

1.  Automatic segmentation of the human brain ventricles from MR images by knowledge-based region growing and trimming.

Authors:  Jimin Liu; Su Huang; Wieslaw L Nowinski
Journal:  Neuroinformatics       Date:  2009-05-16

2.  Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline.

Authors:  Jiahui Wang; Clement Vachet; Ashley Rumple; Sylvain Gouttard; Clémentine Ouziel; Emilie Perrot; Guangwei Du; Xuemei Huang; Guido Gerig; Martin Styner
Journal:  Front Neuroinform       Date:  2014-02-06       Impact factor: 3.739

3.  Tracking perceptual decision mechanisms through changes in interhemispheric functional connectivity in human visual cortex.

Authors:  Teresa Sousa; João V Duarte; Gabriel N Costa; Valentin G Kemper; Ricardo Martins; Rainer Goebel; Miguel Castelo-Branco
Journal:  Sci Rep       Date:  2019-02-04       Impact factor: 4.379

4.  Improved correspondence of fMRI visual field localizer data after cortex-based macroanatomical alignment.

Authors:  Mishal Qubad; Catherine V Barnes-Scheufler; Michael Schaum; Eva Raspor; Lara Rösler; Benjamin Peters; Carmen Schiweck; Rainer Goebel; Andreas Reif; Robert A Bittner
Journal:  Sci Rep       Date:  2022-08-22       Impact factor: 4.996

5.  Structural and functional plasticity specific to musical training with wind instruments.

Authors:  Uk-Su Choi; Yul-Wan Sung; Sujin Hong; Jun-Young Chung; Seiji Ogawa
Journal:  Front Hum Neurosci       Date:  2015-10-29       Impact factor: 3.169

6.  Quantitative Evaluation of Intensity Inhomogeneity Correction Methods for Structural MR Brain Images.

Authors:  Marco Ganzetti; Nicole Wenderoth; Dante Mantini
Journal:  Neuroinformatics       Date:  2016-01
  6 in total

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