.. _sphx_glr_generated_examples_tutorials:

.. _tutorials:

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Tutorials
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    <div class="sphx-glr-thumbnails">

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    <div class="sphx-glr-thumbcontainer" tooltip="This tutorial will explore the role of the arterial input function (AIF) in  DC-MRI analysis, including the effect of using population-average AIFs versus  subject-specific AIFs. ">

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  .. image:: /generated/examples/tutorials/images/thumb/sphx_glr_plot_aif_thumb.png
    :alt:

  :ref:`sphx_glr_generated_examples_tutorials_plot_aif.py`

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      <div class="sphx-glr-thumbnail-title">The role of Arterial Input Functions</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This tutorial will explore the effect of water exchange in a standard  two-compartmental tissue using the models in dcmri.Tissue.">

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  .. image:: /generated/examples/tutorials/images/thumb/sphx_glr_plot_wex_thumb.png
    :alt:

  :ref:`sphx_glr_generated_examples_tutorials_plot_wex.py`

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      <div class="sphx-glr-thumbnail-title">An exploration of water exchange effects</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Convolution is a key operation in any application of pharmacokinetic  analysis. The reason for this central role is that the solution of a linear  and stationary system can always be written as a convolution. dcmri includes  functions that  perform convolution in the most general context, but also includes solutions  that are optimized for common special cases. ">

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  .. image:: /generated/examples/tutorials/images/thumb/sphx_glr_plot_convolution_thumb.png
    :alt:

  :ref:`sphx_glr_generated_examples_tutorials_plot_convolution.py`

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      <div class="sphx-glr-thumbnail-title">A comparison of convolution functions</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /generated/examples/tutorials/plot_aif
   /generated/examples/tutorials/plot_wex
   /generated/examples/tutorials/plot_convolution