Analyze

T1/T2 mapping of images acquired using IRSE/SE sequences and ROI analysis of ISMRM/NIST phantom.

API documentation page: https://imr-framework.github.io/virtual-scanner/docs/source/virtualscanner.server.ana.html

Run in GUI

To run the analyze page using the UI, please follow the instructions here.

You can also use this form to give feedback.

Run with Python scripts

T1/T2 mapping

To run (utest):

utest_T1_T2_mapping.py

• Run utest_T1_T2_mapping.py (all data are pre-set).
• Please refer here for standard T1 and T2 values

ROI analysis

To run (utest):

utest_ROI_analysis_T1_T2.py

• Open utest_ROI_analysis_T1_T2.py.
• The algorithm is a two step process. It first uses Hough transformation to give a rough estimation of all circle locations which may contain some false positives. Then it picks center of Sphere 1 as the anchor point. Based on a vector map between each center of spheres and Sphere 1, the centers of rest spheres can be calculated. The rotation between maps are calculated by the anchor point.
• This script reads in dicom image local map path, map type, fov, and map size (for scaling of the directional distance map)
• Please refer here for standard T1 and T2 values