2020年2月2日 · Adjusting to your example (Tested in version 2.1.1 of SimpleITK and Python 3.7.1) : # Given a sitk image instance -> img reoriented = sitk.DICOMOrient(img, 'LPS') It is also possible to test multiple permutations of the orientation labels, check this doc to understand the about the meaning of the labels.

2018年8月29日 · Welcome to SimpleITK! Assuming your X-ray is the fixed image in the registration (CT is the moving) then the result of the registration is a transformation mapping points from the X-ray to the CT. All you need to do is re-sample your ROI mask image onto the CT using the inverse transformation.

2016年11月21日 · So I solved the problem using numpy. I'm posting the code, may be it helps someone else in the future! def get_label(ccaimage, label, image2D): # labelImage is the mask for a particular label labelImage = sitk.Threshold(ccaimage, lower=label, upper=label) #sitk_show(labelImage) # get image as array labelImageArray = sitk.GetArrayFromImage(labelImage) image2Darray = sitk.GetArrayFromImage ...

2019年9月18日 · With SimpleITK's current implementations of GetArrayViewFromImage, it is safest to prevent alias (shallow copies) so that potential invalid memory access is avoided. Therefore, no writable access methods are implemented.

2021年8月25日 · It looks like your DICOM files are down within some sub-directories of "21071306". The SimpleITK ImageSeriesReader is only going to look for DICOM image files within the directory that you give it. It does not do a recursive search of the sub-directories.

2019年7月25日 · SimpleITK uses i,j,k indexes but numpy uses k,j,i indexes. Was this conversion done? – blowekamp. ...

2023年5月4日 · If it's a rigid transform, you should be able to construct a SimpleITK Euler3DTransform from it. Set the rotation matrix from the 3x3 sub-matrix and the translation from the translation vector in the 4x4 matrix. –

However, to have best user experience available, I need to limit scale on sliders to have maximimum and minimum that is maximum and minimum of intensity of image. In ITK, I could use MinimumMaximumImageCalculator, but I can't seem to find it in SimpleITK.

I have a set o 3D volumes that I am reading with SimpleITK. import SimpleITK as sitk for filename in filenames: image = sitk.ReadImage(filename) Each of the volumes has different size, spacing, origin and direction. This code yields different values for different images:

2021年7月5日 · It looks like cmake is trying to compile SimpleITK. Not sure why it needs to do that for a pip install.