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Started the deconvolution stuff
1 parent 72ca949 commit 0e895f8

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AstroIntro.ipynb

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ChambollePockLeastAbsDeviationPositivity.ipynb

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InformationTheoryOptimization.ipynb

+14-23
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MutualInformationRegistration.ipynb renamed to RegistrationProcrustean.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Multi modality image registration based on mutual information\n",
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"\n",
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"In this notebook, we will try to use the mutual information concept in information theory, that we explained in the InformationTheoryOptimization notebook.\n",
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"\n",
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"Our goal will be the registration of images acquired with different modality, for instance at different wavelenght, or measuring completely different properties, for instance registering T1 MRI and CT scan."
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"# Registration and procrustean problem\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [
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{
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"data": {
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"cell_type": "markdown",
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"metadata": {
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"collapsed": true
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},
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"source": [
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"## Orthogonal procrustes problem and Kabsch algorithm\n",
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"\n",
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"Sources for this article are [wikipedia here](https://en.wikipedia.org/wiki/Kabsch_algorithm) and [there](https://en.wikipedia.org/wiki/Orthogonal_Procrustes_problem)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.0"
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"version": "3.6.6"
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}
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},
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"nbformat": 4,

SpatiallyVariantDeconvolution.ipynb

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StatisticalTest.ipynb

+49-22
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