将图像转换为 rgb，以便我可以可视化图像

Question

我正在尝试分割图像，但无法对图像应用重新缩放强度

我尝试重塑图像并应用重新缩放强度，但未能成功

 def load_sitk_image(path,vol_size=np.array([128,128,64]),dst_res=[1,1,1],method = sitk.sitkLinear ) :

img = sitk.ReadImage(path)

ret = np.zeros([vol_size[0], vol_size[1], vol_size[2]], dtype=np.float32)

#we rotate the image according to its transformation using the direction and according to the final spacing we want

factor = np.asarray(img.GetSpacing()) / [dst_res[0], dst_res[1],dst_res[2]]

factorSize = np.asarray(img.GetSize() * factor, dtype=float)

newSize = np.max([factorSize, vol_size], axis=0)

newSize = newSize.astype(dtype='int')

T=sitk.AffineTransform(3)

T.SetMatrix(img.GetDirection())

resampler = sitk.ResampleImageFilter()

resampler.SetReferenceImage(img)

resampler.SetOutputSpacing([dst_res[0], dst_res[1], dst_res[2]])

resampler.SetSize(newSize.tolist())

resampler.SetInterpolator(method)

imgResampled = resampler.Execute(img)

imgCentroid = np.asarray(newSize, dtype=float) / 2.0

imgStartPx = (imgCentroid - vol_size / 2.0).astype(dtype='int')

regionExtractor = sitk.RegionOfInterestImageFilter()

size_2_set = vol_size.astype(dtype='int')

regionExtractor.SetSize(size_2_set.tolist())

regionExtractor.SetIndex(imgStartPx.tolist())

imgResampledCropped = regionExtractor.Execute(imgResampled)

ret = np.transpose(sitk.GetArrayFromImage(imgResampledCropped).astype(dtype=float),[0,1,2])

ret = (ret - ret.min())/(ret.max()-ret.min())

#ret = (ret - ret.mean())/ret.std()

return ret

img_T1 = load_sitk_image(path = r"C:\Users\chinnu\Desktop\post processing project\training part 1\case01.mhd")

img_T2 = load_sitk_image(path =r"C:\Users\chinnu\Desktop\post processing project\training\Case01_segmentation.mhd")


img_T1_255 = sitk.Cast(sitk.RescaleIntensity(img_T1), sitk.sitkUInt8)

> 错误：

TypeError Traceback（最后一次调用）在（） 3个 4个 ----> 5 img_T1_255 = sitk.Cast(sitk.RescaleIntensity(img_T1), sitk.sitkUInt8)

~\Anaconda3\lib\site-packages\SimpleITK\SimpleITK.py in RescaleIntensity(image1, outputMinimum, outputMaximum) 59087 59088 """

59089 return _SimpleITK.RescaleIntensity(image1, outputMinimum, outputMaximum) 59090 class RichardsonLucyDeconvolutionImageFilter(ImageFilter_2): 59091 """

TypeError: 在方法 'RescaleIntensity' 中，参数 1 的类型为 'itk::simple::Image const &'

我希望得到像我可以应用重新调整强度的结果

Answer 1

检查 'img_T1' 的类型 - 我认为您在 load_sitk_image 函数中 returning 了一个 numpy 数组。您需要使用 GetImageFromArray 来 return 和 SimpleITK.Image

将图像转换为 rgb，以便我可以可视化图像

convert the image to rgb so that i can visualize the image

python-3.x

image-resizing

simpleitk

> 错误：