I’m working on a CT image analysis project and am running into some issues with non-regular slice intervals in some of our CT data, and I’m stuck trying to find a solution.
In brief, some of the Full body (CAP) CT studies at our institution are sent to PACS reconstructed as 1.25/0.625mm slice thickness/interval in the Chest, and then 2.5/2.5 mm slice thickness/interval for the Abdomen/Pelvis, and all images are stacked in a combined CAP series. When we look at a coronal MPR of the data in a standard DICOM viewer (Osirix) we get a distorted image (screenshot attached), presumably because the slice interval is 4 times less for the Chest (0.625) compared to the Abdomen/Pelvis (2.5). Our project involves only the Chest and so we are hoping to remove the Abdomen/Pelvis image from the series altogether and return the Chest images to their normal geometry. However, when we create a new series in Osirix only including the Chest images (exported from the original CAP series with non-regular slice intervals), the chest images still appear “stretched” in the z-axis. We are stuck with the images from PACS and cannot reconstruct the raw data from the scanner (screenshot attached). There is likely a simple answer to correcting the image geometry, but we have not been successful thus far. I would greatly appreciate any guidance that others may have! Some limited metadata pasted below:
Combined Chest/Abdomen/Pelvis Series
SliceThickness (0018,0050) 1.250000
SpacingBetweenSlices (0018,0088) 0.625000
SamplesperPixel (0028,0002) 1
Rows (0028,0010) 512
Columns (0028,0011) 512
PixelSpacing (0028,0030) 0.703125\0.703125
Chest Only Series:
SliceThickness (0018,0050) 1.25
SpacingBetweenSlices (0018,0088) 0.625000
SamplesperPixel (0028,0002) 1
Rows (0028,0010) 512
Columns (0028,0011) 512
PixelSpacing (0028,0030) 0.703125\0.703125