Hello, I have some question concerning translations and resampling of segmentation objects.
Background: I have two imaging volumes and a segmentation in my Data. Image volume (‘alpha’) is the original medical image, unaltered. Image volume (‘bravo’) is downsampled and translated to a slightly new origin. In addition to these volumes, I have a segmentation object. It’s unaltered by any transformations or resampling, and as such, the Master volume remains the original imaging volume.
Objective: To perform the same translation and downsampling on this segmentation, so it accurately maps to the image volume bravo.
Option 1) Convert to a binary labelmap, and perform resampling on the labelmap. In my particular use case, I am downsampling with interpolation, and specifying a new origin to create a translational shift. All parameters will match imaging volume bravo.
Option 2) In the Segmentations module I can directly export a binary labelmap with the Reference volume (in ‘advanced’) set to imaging volume bravo.
In both situations, I can verify the segmentation has been accurately translated and resampled in the Volumes module. My questions are:
A)In option 2 (exporting directly using reference volume bravo), what interpolation, if any, was performed to derive the new labelmap?
B) I noted that method 1 yielded a lower quality segmentation (before and after picture attached, after being the one with little unsegmented islands in it). Is option 2 a more standard approach than than option 1?
Thank you for your advice.
