iNPH Analysis
Last updated
Last updated
Overview
This study examines whether quantifiable changes can be detected in ventricular volume in Idiopathic Normal Pressure Hydrocephalus (iNPH) patients that undergo ventriculo-peritoneal shunt procedures.
How to Run iNPH Analysis Module:
From the BisQue Homepage, the top right-hand corner has the Sign In button.
If you do not have an account, you can create one. If you already have an account, login using your credentials.
BisQue supports many of the popular medical imaging file formats, i.e. NIFTI, DICOM.
Here is the sample input image pair that is already present on BisQue.
One can test the module using the above pair, or use their own pair of scans as input.
Once you are logged in successfully, you can access the NPH Prediction module by Clicking Here or by using the Menu bar at the top of the homepage.
Once on the NPH Prediction homepage,
Select an image you uploaded.
Click on Select an Image Button under Pre Scan and Post Scan
It should navigate you to Resource Browser, where you should be able to select an image that is uploaded.
You should be able to see the selected images on the module page.
Select a PyTorch Model, which is the magic box that is trained to predict the presence of iNPH by looking at the input scan.
Click on Select file button.
Cick on Gear Icon on top right corner of Resource Browser. Tick the box that corresponds to Show public data.
In the search bar, type filename:inph_analyser.pt and hit Enter. This should filter out the required pytorch files. Now, select the first model in the list and hit Select.
Hit RUN Button.
It is expected to take around 200 seconds to 500 seconds of runtime, depending upon the input file size, cluster compute availability, and various other factors.
Visualize the Results
One can export the data into a CSV or XML file as well.
From the Menu Bar. Using the Menu bar at the top of the screen, go to Analyze --> Segmentation --> iNPH Analysis. You might have to scroll down a little bit since we are adding more modules.
