Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update pet-imaging.Rmd #13

Merged
merged 1 commit into from
Jul 12, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
22 changes: 10 additions & 12 deletions episodes/pet-imaging.Rmd
Original file line number Diff line number Diff line change
Expand Up @@ -52,9 +52,10 @@ Notably, no smoothing was applied during the PET reconstruction.
unprocessed PET NIfTI images and data `/home/as2-streaming-user/data/PET_Imaging`.
1. Use `ls` to view the contents of this directory
1. Use `cd` to change your working directory to the following location:
```bash
cd /home/as2-streaming-user/data/PET_Imaging/UnprocessedData
```

```bash
cd /home/as2-streaming-user/data/PET_Imaging/UnprocessedData
```

### View PET metadata
View the information in the .json file for MK-6240 and PiB images by
Expand Down Expand Up @@ -227,14 +228,11 @@ full-width of the kernel at half the maximum value of the kernel.
### Apply smoothing to SUM images
1. Click on the Smooth button to launch the Smooth module in SPM and use the following
inputs:
* `Image to Smooth` - Specify the two SUM images (you can do both at the same
time)
* `FWHM` – 4 4 4 (this specified an isotropic 4 mm full-width half Gaussian
smoothing kernel)
* `Data Type` – Same
* `Implicit Mask` – No
* `Filename prefix` – ‘s’ (this prepends an “s” onto the filename to
indicate the newly created image was smoothed)
* `Image to Smooth` - Specify the two SUM images (you can do both at the same time)
* `FWHM` – 4 4 4 (this specified an isotropic 4 mm full-width half Gaussian smoothing kernel)
* `Data Type` – Same
* `Implicit Mask` – No
* `Filename prefix` – ‘s’ (this prepends an “s” onto the filename to indicate the newly created image was smoothed)
1. Press the green play button to run the smoothing module.
1. Close the SPM batch editor.
1. View the resultant smoothed images in FSL (the ones with an ‘s’ prefix in
Expand Down Expand Up @@ -360,7 +358,7 @@ using fslstats
fslstats rssub001_pib_SUM50-70min.nii -k rsub001_cblm_mask.nii -M
```
```output
TODO: add output
5902.898170
```
1. Create the SUVR image by dividing the SUM 50-70min image by the mean activity
concentration output by `fslstats`
Expand Down
Loading