Last modified by puchades on 2021/12/07 10:37
From version 3.2
edited by puchades
on 2020/03/12 17:44
Change comment: There is no comment for this version
To version 3.3
edited by puchades
on 2020/03/24 09:47
Change comment: There is no comment for this version

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1 1  == Image pre-processing with Nutil Transform ==
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4 +**The //Transform// feature in the //Nutil// software **enables **image rotation, renaming, resizing and mirroring** and was used to prepare the image series for //QuickNII //alignment and //ilastik //segmentation.
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6 ->This is a quote. You can add a quote by selecting some text and clicking the quote button in the editor.
6 +>The input size requirements for the //QuickNII// and //ilastik// software differ. Naming convention of files is important.
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8 +For //QuickNII,// the input requirements described in (Puchades et al., 2019) are:
9 +24-bit PNG and JPEG. Images can be loaded up to the resolution of 16 megapixels (e.g.4000x4000 or 5000x3000 pixels), however QuickNII does not benefit from image resolutions exceeding the resolution of the monitor in use. For a standard FullHD or WUXGA display
10 +(1920x1080 or 1920x1200 pixels) the useful image area is approximately 1500x1000 pixels,using a similar resolution ensures optimal image-loading performance.
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12 +For //ilastik// (Borg et al.2019), the resizing was performed in order to enable efficient processing. To clarify, the pixel classification algorithm relies on input from manual user annotations of training images, and the features ‒ intensity, edge and/or texture ‒ of the image pixels.  In practice, a test run was performed with //ilastik// on images of different sizes to find the optimal resolution for segmentation, with a final resize factor of e.g 0.1  for cellular features, and a factor of 0.05 for series with larger features like Alzheimer plaques.
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14 +==== **Naming convention:** ====
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10 10  === H3 Headings Will Appear In The Table of Content ===
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12 12  ==== You can also add images ====