sitk.GetArrayFromImage返回空numpy数组？

我正在使用3D MR图像数据。为了计算直方图，我将sitk.Image转换为3维的numpy arrray。虽然我能够使用matplotlib显示每个轴向切片，但numpy数组在所有三维中都是完全空的。有人可以解释发生了什么事吗？sitk.GetArrayFromImage返回空numpy数组？

import numpy as np 
import SimpleITK as sitk 
from myshow import myshow 

img = sitk.ReadImage("mri.hdr") 
nda = sitk.GetArrayFromImage(img) 
myshow(img) 
print nda

输出：

[[[ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    ..., 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.]] 

[[ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    ..., 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.]] 

[[ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    ..., 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.]] 

..., 
[[ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    ..., 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.]] 

[[ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    ..., 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.]] 

[[ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    ..., 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.] 
    [ 0. 0. 0. ..., 0. 0. 0.]]]

NOTES：

myshow.py（https://github.com/InsightSoftwareConsortium/SimpleITK-Notebooks/blob/master/Python/myshow.py）
myshow.py通过使用matplotlib
MR图像数据采用hdr/img（分析）格式。

来源

2017-08-09 DottedGlass

您可以发表您的代码样本，以便我们可以按照您的逻辑 – DJK

编辑！我相当新的编码和计算器。如果我不清楚我的问题，请原谅。 – DottedGlass

你很好。数据就在那里，只是打印函数显示数组从头开始的数据（很大）。如果打印数据具有内容你会看到一个有效的值的特定像素：

print nda[200,56,87]

该指数被认为是在有效范围内。

来源

2017-08-10 16:44:39 zivy

sitk.GetArrayFromImage返回空numpy数组？

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