Difference between revisions of "Documentation/Nightly/Modules/AADDiffusionWeightedData"

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This module offers a simple application of the AAD filter on diffusion-weighted imaging data. Since the noise through the image space is present in the tensorial acquisition, the AAD filter could be applied in order to decrease the noise amplitude and maintain the geometrical details of the image.
  
 
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{{documentation/{{documentation/version}}/module-section|Use Cases}}
 
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*Use Case 1: Decrease noise in DWI data
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** The raw DWI data could be filtered using the AAD approach, which was previously applied on structural MRI data<ref>Da S Senra Filho, A. C., Garrido Salmon, C. E., & Murta Junior, L. O. (2015). Anomalous diffusion process applied to magnetic resonance image enhancement. Physics in Medicine and Biology, 60(6), 2355–2373. doi:10.1088/0031-9155/60/6/2355</ref> and Diffusion Tensor Imaging images as well<ref> doi:</ref>
  
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<gallery widths="300px" perrow="3">
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Image:MRI_DTI_raw.png|Raw DTI data
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Image:MRI_DTI_AAD.png|DTI data filtered with AAD filter (q=1.2)
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</gallery>
  
 
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|[[Image:aad_dwi_gui.png|thumb|380px|User Interface]]
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[[Image:aad_dwi_gui.png|thumb|380px|User Interface]]
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IO:
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*Input Volume
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**Select the input image
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*Output Volume
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**Set the output image file which the filters should place the final result
  
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Diffusion Parameters:
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*Conductance
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**The conductance regulates the diffusion intensity in the neighbourhood area. Choose a higher conductance if the input image has strong noise seem in the whole image space.
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*Number of Iteractions
 
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*[https://www.slicer.org/wiki/Modules:JointRicianLMMSEImageFilter-Documentation-3.6 Joint Rician LMMSE Image Filter]
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* da S Senra Filho, A.C., Garrido Salmon, C.E. & Murta Junior, L.O., 2015. Anomalous diffusion process applied to magnetic resonance image enhancement. Physics in Medicine and Biology, 60(6), pp.2355–2373. DOI: 10.1088/0031-9155/60/6/2355
 
* da S Senra Filho, A.C., Garrido Salmon, C.E. & Murta Junior, L.O., 2015. Anomalous diffusion process applied to magnetic resonance image enhancement. Physics in Medicine and Biology, 60(6), pp.2355–2373. DOI: 10.1088/0031-9155/60/6/2355
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* Filho, A.C. da S.S. et al., 2014. Anisotropic Anomalous Diffusion Filtering Applied to Relaxation Time Estimation in Magnetic Resonance Imaging. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, pp. 3893–3896.
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* Filho, A.C. da S.S., Barizon, G.C. & Junior, L.O.M., 2014. Myocardium Segmentation Improvement with Anisotropic Anomalous Diffusion Filter Applied to Cardiac Magnetic Resonance Imaging. In Annual Meeting of Computing in Cardiology.
 
  
 
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Revision as of 18:35, 22 March 2017

Home < Documentation < Nightly < Modules < AADDiffusionWeightedData


For the latest Slicer documentation, visit the read-the-docs.


Introduction and Acknowledgements

Extension: AnomalousFilters
Webpage: http://dcm.ffclrp.usp.br/csim/
Author: Antonio Carlos da S. Senra Filho, CSIM Laboratory (University of Sao Paulo, Department of Computing and Mathematics)
Contact: Antonio Carlos da S. Senra Filho, <email>acsenrafilho@usp.br</email>

CSIM Laboratory  
University of Sao Paulo  
CAPES Brazil  

Module Description

This module offers a simple application of the AAD filter on diffusion-weighted imaging data. Since the noise through the image space is present in the tensorial acquisition, the AAD filter could be applied in order to decrease the noise amplitude and maintain the geometrical details of the image.

Use Cases

  • Use Case 1: Decrease noise in DWI data
    • The raw DWI data could be filtered using the AAD approach, which was previously applied on structural MRI data[1] and Diffusion Tensor Imaging images as well[2]
  • MRI DTI raw.png

    Raw DTI data

  • MRI DTI AAD.png

    DTI data filtered with AAD filter (q=1.2)

Tutorials

N/A

Panels and their use

User Interface

IO:

  • Input Volume
    • Select the input image
  • Output Volume
    • Set the output image file which the filters should place the final result

Diffusion Parameters:

  • Conductance
    • The conductance regulates the diffusion intensity in the neighbourhood area. Choose a higher conductance if the input image has strong noise seem in the whole image space.
  • Number of Iteractions

Similar Modules

References

  • da S Senra Filho, A.C., Garrido Salmon, C.E. & Murta Junior, L.O., 2015. Anomalous diffusion process applied to magnetic resonance image enhancement. Physics in Medicine and Biology, 60(6), pp.2355–2373. DOI: 10.1088/0031-9155/60/6/2355


Information for Developers

Work in progress
 Section under construction.
  1. ↑ Da S Senra Filho, A. C., Garrido Salmon, C. E., & Murta Junior, L. O. (2015). Anomalous diffusion process applied to magnetic resonance image enhancement. Physics in Medicine and Biology, 60(6), 2355–2373. doi:10.1088/0031-9155/60/6/2355
  2. ↑ doi:
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