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Copy file name to clipboardExpand all lines: docs/reference/commands/dwi2adc.rst
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@@ -15,22 +15,24 @@ Usage
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dwi2adc [ options ] input output
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- *input*: the input image.
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- *output*: the output image.
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- *input*: the input image
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- *output*: the output ADC image
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Description
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By default, the command will estimate the Apparent Diffusion Coefficient (ADC) using the isotropic mono-exponential model: S(b) = S(0) * exp(-D * b). The output consists of 2 volumes, respectively S(0) and D.
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The command estimates the Apparent Diffusion Coefficient (ADC) using the isotropic mono-exponential model: S(b) = S(0) * exp(-ADC * b). The value of S(0) can be optionally exported using command-line option -szero.
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When using the -ivim option, the command will additionally estimate the Intra-Voxel Incoherent Motion (IVIM) parameters f and D', i.e., the perfusion fraction and the pseudo-diffusion coefficient. IVIM assumes a bi-exponential model: S(b) = S(0) * ((1-f) * exp(-D * b) + f * exp(-D' * b)). This command adopts a 2-stage fitting strategy, in which the ADC is first estimated based on the DWI data with b > cutoff, and the other parameters are estimated subsequently. The output consists of 4 volumes, respectively S(0), D, f, and D'.
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Note that this command ignores the gradient orientation entirely. This approach is therefore only suited for mean DWI (trace-weighted) images or for DWI data collected with isotropically-distributed gradient directions.
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Note that this command ignores the gradient orientation entirely. If a conventional DWI series is provided as input, all volumes will contribute equally toward the model fit irrespective of direction of diffusion sensitisation; DWI data should therefore ideally consist of isotropically-distributed gradient directions. The approach can alternatively be applied to mean DWI (trace-weighted) images.
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Options
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- **-ivim** also estimate IVIM parameters in 2-stage fit.
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- **-szero image** export image of S(0); that is, the model-estimated signal intensity in the absence of diffusion weighting
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- **-ivim fraction diffusivity** also estimate IVIM parameters in 2-stage fit, yielding two images encoding signal fraction and diffusivity respectively of perfusion1 component
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- **-cutoff bval** minimum b-value for ADC estimation in IVIM fit (default = 120 s/mm^2).
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@@ -63,9 +65,9 @@ Standard options
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References
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^^^^^^^^^^
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Le Bihan, D.; Breton, E.; Lallemand, D.; Aubin, M.L.; Vignaud, J.; Laval-Jeantet, M. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology, 1988, 168, 497–505.
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Le Bihan, D.; Breton, E.; Lallemand, D.; Aubin, M.L.; Vignaud, J.; Laval-Jeantet, M. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology, 1988, 168, 497-505.
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Jalnefjord, O.; Andersson, M.; Montelius; M.; Starck, G.; Elf, A.; Johanson, V.; Svensson, J.; Ljungberg, M. Comparison of methods for estimation of the intravoxel incoherent motion (IVIM) diffusion coefficient (D) and perfusion fraction (f). Magn Reson Mater Phy, 2018, 31, 715–723.
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If using -ivim option: Jalnefjord, O.; Andersson, M.; Montelius; M.; Starck, G.; Elf, A.; Johanson, V.; Svensson, J.; Ljungberg, M. Comparison of methods for estimation of the intravoxel incoherent motion (IVIM) diffusion coefficient (D) and perfusion fraction (f). Magn Reson Mater Phy, 2018, 31, 715-723.
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Tournier, J.-D.; Smith, R. E.; Raffelt, D.; Tabbara, R.; Dhollander, T.; Pietsch, M.; Christiaens, D.; Jeurissen, B.; Yeh, C.-H. & Connelly, A. MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. NeuroImage, 2019, 202, 116137
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