You can try CropVolume to extract the overlapping regions and then average them (easiest using numpy - see the script repository) and then put them back together with CropVolume and numpy or the module described here.
pieper
(Steve Pieper (Isomics, Inc.))
2
Related topics
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Model Maker - Volume Calculation | 13 | 4964 | June 14, 2018 | |
| Combine two cone-beam CT images | 5 | 539 | December 5, 2023 | |
| Combination of 2 series with interslice gaps, acquired in an interleaved manner | 3 | 618 | August 22, 2019 | |
| Batch editing of 3DAngio CBCT slice thickness dicom tag | 8 | 226 | June 13, 2024 | |
| Changing slice thickness for epicardial adipose tissue analysis | 6 | 830 | April 3, 2021 |