Resample (spacing, matrix)

Resample pixel data to a target voxel spacing or matrix size.

Problem

You need to standardize a dataset to a uniform matrix size — e.g. all images must be 256×256 for an AI training pipeline that expects consistent input dimensions. The original images have varying matrix sizes (512×512, 320×320, etc.). Resampling with bilinear interpolation produces a consistent grid while preserving anatomical proportions by updating the Pixel Spacing tag.

Steps

1. Open the file (⌘O) and record the original Pixel Spacing (0028,0030) in Edit mode.

2. Open Pixel Operations — ⌘K → “Pixel operations…”.

3. Select Resample.

4. Set target dimensions:

   • Target width: 256
   • Target height: 256

5. Click Apply transform.

6. Verify:

   • Rows (0028,0010) → 256
   • Columns (0028,0011) → 256
   • Pixel Spacing (0028,0030) → updated to reflect the scale change (different from original)

Expected Result

• Output image is exactly 256×256 pixels.
• Pixel Spacing is recalculated: if the original was 1.0mm × 1.0mm on a 512×512 image, the resampled spacing becomes ~2.0mm × 2.0mm to preserve physical dimensions.
• Bilinear interpolation ensures smooth pixel value transitions.
• The output is a derived copy with a new SOP Instance UID.