问题描述
我有一个扩展名为.nii的文件.我不知道如何将.nii文件转换为2D格式.我的问题是将.nii文件转换为2D时,我是否丢失了一些有关该文件的信息.哪种格式好? dicom或png或bmp.
I have a file with .nii extension. I don't know how to convert a .nii file into 2D format.My question is while converting .nii file into 2D, am I losing some information about the file.Which format is good? dicom or png or bmp.
nii = load_nii('im.nii');
size(nii.img);
返回
ans =
39 305 305
它是uint8格式
我可以使用挤压还是调整大小?如何对此图像应用调整大小;它是否会丢失信息?
May I use squeeze or resize?How to apply resize to this image;whether it lose information?
推荐答案
是的,您可以像处理任何数组一样操作图像/序列.
Yes you can manipulate the image/sequence as you would with any array.
这是一个简单的示例,其中的数据可从NIH 此处获取.
Here is a simple example with data available from the NIH here.
数据集采用4D格式,名为"filtered_func_data.nii".
The data set is in 4D and is named "filtered_func_data.nii".
让我们加载数据集并访问结果结构的img
字段:
Let's load the dataset and access the img
field of the resulting structure:
S = load_nii('filtered_func_data.nii')
在这里,S是具有以下字段的结构:
Here, S is a structure with the following fields:
S =
hdr: [1x1 struct]
filetype: 2
fileprefix: 'filtered_func_data'
machine: 'ieee-be'
img: [4-D int16]
original: [1x1 struct]
我们可以使用img
字段访问图像数据(您已经知道了):
And we can access the image data with the field img
(you already figured that out):
A = S.img
如果检查尺寸,则会得到:
If we check the size, we get:
size(A)
ans =
64 64 21 180
因此,数据集包含64x64张图像,其深度/切片数为21,帧数为180.
So the dataset consists in 64x64 images with a depth/number of slices of 21 and a number of frames of 180.
在这一点上,我们可以根据需要调整A
的形状,大小或其他任何内容.
At this point we can manipulate A
as we like to reshape, resize or anything.
这是一个简单的代码(动画gif),可以循环遍历4D数组中第一个时间点的每个片段:
Here is a simple code (animated gif) to loop through each slice of the 1st timepoint in the 4D array:
NumSlices = size(A,3)
figure(1)
filename = 'MRI_GIF.gif';
for k = 1:NumSlices
imshow(A(:,:,k,1),[])
drawnow
frame = getframe(1);
im = frame2im(frame);
[imind,cm] = rgb2ind(im,256);
if k == 1;
imwrite(imind,cm,filename,'gif', 'Loopcount',inf);
else
imwrite(imind,cm,filename,'gif','WriteMode','append');
end
pause(.1)
end
输出:
对我来说哪个看起来不错.
Which looks pretty nice to me.
因此,在您的情况下,大小为[39 305 305]
,并且可以应用与3D数据集相同的操作.
So in your case, you get a size of [39 305 305]
and you can apply the same manipulations I did to play around with your data set, which is in 3D.
编辑与您的数据相同:
S = load_nii('Subject01.nii');
A = S.img;
NumSlices = size(A,3);
然后,如果要获得2D图像,则需要在3D阵列中选择一个切片.
And then, if you want a 2D image you need to select a slice in the 3D array.
例如,第一个切片的访问方式如下:
For example, the first slice is accessed like so:
A(:,:,1)
其余的依次类推.
要将图像另存为png,请使用 imwrite .
To save images as png, use imwrite.
希望有帮助!
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