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用于SPM的POAS4SPM：一个对扩散磁共振成像数据进行去噪的工具箱。

POAS4SPM: a toolbox for SPM to denoise diffusion MRI data.

作者信息

Tabelow Karsten, Mohammadi Siawoosh, Weiskopf Nikolaus, Polzehl Jörg

机构信息

WIAS Berlin, Mohrenstr. 39, 10117, Berlin, Germany,

出版信息

Neuroinformatics. 2015 Jan;13(1):19-29. doi: 10.1007/s12021-014-9228-3.

DOI:10.1007/s12021-014-9228-3
PMID:24993814
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4303737/
Abstract

We present an implementation of a recently developed noise reduction algorithm for dMRI data, called multi-shell position orientation adaptive smoothing (msPOAS), as a toolbox for SPM. The method intrinsically adapts to the structures of different size and shape in dMRI and hence avoids blurring typically observed in non-adaptive smoothing. We give examples for the usage of the toolbox and explain the determination of experiment-dependent parameters for an optimal performance of msPOAS.

摘要

我们展示了一种针对扩散磁共振成像（dMRI）数据的最新开发的降噪算法的实现，称为多壳位置方向自适应平滑（msPOAS），作为统计参数映射（SPM）的一个工具箱。该方法本质上能适应dMRI中不同大小和形状的结构，因此避免了在非自适应平滑中常见的模糊现象。我们给出了该工具箱的使用示例，并解释了为使msPOAS达到最佳性能而确定与实验相关的参数的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/9bfa6c660bd9/12021_2014_9228_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/7e5a70bbcebb/12021_2014_9228_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/2bd3e437a696/12021_2014_9228_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/5d749239adbb/12021_2014_9228_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/fdfedffda01b/12021_2014_9228_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/f21fd72173e2/12021_2014_9228_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/ea7a3ddf8c28/12021_2014_9228_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/29e9a3e11228/12021_2014_9228_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/9bfa6c660bd9/12021_2014_9228_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/7e5a70bbcebb/12021_2014_9228_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/2bd3e437a696/12021_2014_9228_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/5d749239adbb/12021_2014_9228_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/fdfedffda01b/12021_2014_9228_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/f21fd72173e2/12021_2014_9228_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/ea7a3ddf8c28/12021_2014_9228_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/29e9a3e11228/12021_2014_9228_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521d/4303737/9bfa6c660bd9/12021_2014_9228_Fig8_HTML.jpg

相似文献

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本文引用的文献

[1]
Adaptive smoothing of multi-shell diffusion weighted magnetic resonance data by msPOAS.

Neuroimage. 2014-7-15

[2]
Using high-resolution quantitative mapping of R1 as an index of cortical myelination.

Neuroimage. 2013-6-10

[3]
Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE.

Magn Reson Med. 2013-2-7

[4]
The impact of post-processing on spinal cord diffusion tensor imaging.

Neuroimage. 2013-1-5

[5]
Modelling temporal stability of EPI time series using magnitude images acquired with multi-channel receiver coils.

PLoS One. 2012-12-20

[6]
In vivo functional and myeloarchitectonic mapping of human primary auditory areas.

J Neurosci. 2012-11-14

[7]
Diffeomorphic susceptibility artifact correction of diffusion-weighted magnetic resonance images.

Phys Med Biol. 2012-9-3

[8]
Retrospective correction of physiological noise in DTI using an extended tensor model and peripheral measurements.

Magn Reson Med. 2012-8-30

[9]
Mapping the human cortical surface by combining quantitative T(1) with retinotopy.

Cereb Cortex. 2012-7-23

[10]
Position-orientation adaptive smoothing of diffusion weighted magnetic resonance data (POAS).

Med Image Anal. 2012-5-24

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