Resample or pad an ITK image to make it match a given size in the i,j,k dimensions
npm install itk-image-pad-resample> Resample virtually any type of image 2D, 3D with 1 or multiple components.
 
Install with the flag '-g' and use it in the command line.
``bash`
npm install itk-image-pad-resample -g
`bash`
img-pad-resample --help
`
Help: Resample an image to a specific size.
Required:
--img or --dir
--size
Optional:
--out
`bash`
img-pad-resample --img /path/to/input.nii --size 250,250,250 --out temp.nrrd
To process a whole directory with images
`bash`
img-pad-resample --dir /path/to/directory --size 250,250 --out /path/to/output/dir --out_ext .jpg
Use med-img-reader to read any type of image with one or multiple
components in a variety of formats.
`js`
const MedImgReader = require('med-img-reader');
const ImgPadResampleLib = require('itk-image-pad-resample');
`js
const medimgreader = new MedImgReader();
medimgreader.SetFilename('/path/to/input{.png,.jpg,.nrrd,.nii.gz,.dcm}');
medimgreader.ReadImage();
const in_img = medimgreader.GetOutput();
const imgpad = new ImgPadResampleLib();
imgpad.SetImage(in_img);
imgpad.SetOutputSize([300, 250]);
imgpad.SetFitSpacingToOutputSizeOn(); //optional
imgpad.SetIsoSpacingOn(); //optional
imgpad.SetCenterImageOn(); //optional
imgpad.SetInterpolationTypeToLinear(); //default is nearest
imgpad.Update();
var img_out = imgpad.GetOutput();
const writer = new MedImgReader();
writer.SetInput(img_out);
writer.SetFilename('/path/to/ouput/{.png,.jpg,.nrrd,.nii.gz,.dcm}');
writer.WriteImage();
`
Input RGBA image:
!alt text")
`bash`
img-pad-resample --img brain.png --size 500,250 --out out_brain.png
Output RGBA image, the image here might look stretched because typical image viewers will not take spacing information in consideration!:
!alt text
Use flag '--iso_spacing' to have the same spacing in all dimensions
`bash``
img-pad-resample --img brain.png --size 500,250 --iso_spacing --out out_brain_iso.png
Output RGBA image with equal spacing:
!alt text
---
const tf = require('@tensorflow/tfjs-node');//Or tfjs in browser or tfjs-node-gpu if in linux
tf.tensor(
Float32Array.from(img_out.data),
[1, ...[...img_out.size].reverse(), img_out.imageType.components]
));
---
MIT © juanprietob