Difference between revisions of "Modules:DiffusionMRIWelcome-Documentation-3.6"
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Three techniques are provided for denoising DW images: | Three techniques are provided for denoising DW images: | ||
| − | *[[Modules:UnbiasedNonLocalMeans-Documentation-3.6|Unbiased Non Local Means filter for DWI]]: Is the one providing | + | *[[Modules:UnbiasedNonLocalMeans-Documentation-3.6|Unbiased Non Local Means filter for DWI]]: Is the one providing the most visually appealing results. However, it is very time consuming and may mix information from remote areas of the image. |
| − | *[[Modules:RicianLMMSEImageFilter-Documentation-3.6|Rician LMMSE Image Filter]]: Estimates Rician noise and uses this estimation to | + | *[[Modules:RicianLMMSEImageFilter-Documentation-3.6|Rician LMMSE Image Filter]]: Estimates Rician noise and uses this estimation and spatial coherence to perform the denoising. It processes each gradient direction individually. |
| − | *[[Modules:JointRicianLMMSEImageFilter-Documentation-3.6|Joint Rician LMMSE Image Filter]]: Estimates Rician noise and uses this estimation to | + | *[[Modules:JointRicianLMMSEImageFilter-Documentation-3.6|Joint Rician LMMSE Image Filter]]: Estimates Rician noise and uses this estimation, spatial and orientational coherence to perform the denoising. It jointly processes several gradient directions. |
== Diffusion Tensor Utilities== | == Diffusion Tensor Utilities== | ||
== Tractography== | == Tractography== | ||
Revision as of 17:18, 8 May 2010
Home < Modules:DiffusionMRIWelcome-Documentation-3.6Contents
Diffusion MRI in 3D Slicer
| An rich set of tools is available within 3D Slicer to perform Diffusion MRI image visualization and analysis. There are three categories of modules: DWI filtering for denoising the Diffusion Weighted (DW) images; Diffusion tensor utilities for estimating diffusion tensors (DT) from DW images and calculating scalar invariants like the fractional anisotropy (FA) and resampling the DT images; and Tractography to trace and analyse white matter fibers from DT images and assess connectivity between regions from DW images. |
Diffusion MRI Modules
DWI Filtering
Result of the different DWI filtering algorithms. From left to right: Original images, Unbiased Non Local Means filter for DWI; Rician LMMSE Image Filter; Joint Rician LMMSE Image Filter. Image from A. Tristán-Vega and S. Aja-Fernández. DWI filtering using joint information for DTI and HARDI. Medical Image Analysis, 2009.
Three techniques are provided for denoising DW images:
- Unbiased Non Local Means filter for DWI: Is the one providing the most visually appealing results. However, it is very time consuming and may mix information from remote areas of the image.
- Rician LMMSE Image Filter: Estimates Rician noise and uses this estimation and spatial coherence to perform the denoising. It processes each gradient direction individually.
- Joint Rician LMMSE Image Filter: Estimates Rician noise and uses this estimation, spatial and orientational coherence to perform the denoising. It jointly processes several gradient directions.
