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Hello,
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<div class="">If I understand you correctly you want to rotate the image and pad it for visualization before exporting to numpy.</div>
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<div class="">Have you looked into the ResampleImageFilter? It accepts a transform, along with output image geometry so that you can readily manipulate the image for display. You also may want to scale the image’s intensity with a WindowLevelImageFilter for
better visualization of the range of interest.</div>
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<div class="">HTH,</div>
<div class="">Brad</div>
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<div class="">On May 4, 2016, at 1:14 PM, fausto milletarì <<a href="mailto:fausto.milletari@gmail.com" class="">fausto.milletari@gmail.com</a>> wrote:</div>
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Hello everyone,
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<div class="">I have a probably naive question about simpleITK. I find simpleITK extremely useful to process medical data such as MRI scans but I would like also to enjoy being able to convert my images in numpy format while respecting the transformation of
the volume.</div>
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<div class="">In other words I would like to get the MRI image in numpy rotated by the correct amount around each axis with zero padding for example.</div>
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<div class="">when i do simply <span style="color: rgb(128, 128, 128); font-style: italic; font-family: Menlo; font-size: 9pt; background-color: rgb(255, 255, 255);" class="">sitk.GetArrayFromImage(imgResampledCropped)</span>I get back the raw data itself,
but what I would like to do is to have a numpy array that contains the data “ready to visualise” by simple slicing of the array itself.</div>
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<div class="">Do you think this is doable? Is there a standard way of doing it?</div>
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<div class="">Kind regards,</div>
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<div class="">Fausto</div>
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