MRI Distortion Check

Company Name

Computerized Imaging Reference Systems (CIRS)

Project Start Year

2016

Company Location

Norfolk, VA

Project Type

Machine learning, image processing, web development, UI/UX

Project Description

MRI scanners introduce geometric distortion into their images. This distortion, which can be as much as several millimeters, is problematic when the image is being used for radiation therapy or precision neurosurgical planning.

CIRS builds several grid phantoms for geometric distortion characterization. We collaborated with CIRS’s engineering team to design and develop software to characterize an MRI scanner’s geometric distortion and track it over time.

Our role on the project involved:

Through out the project we worked closely with the CIRS engineering team.

The maximum detected geometric distortion, tracked over time.
The maximum detected geometric distortion, tracked over time.
Detected and actual grid intersection fiduciary.
Detected and actual grid intersection fiduciary.
CIRS's 603A Phantom mimic's the tissue properties of a human head, but contains a grid that can be used to characterize geometric distortion in MRI scanners.
CIRS's 603A Phantom mimic's the tissue properties of a human head, but contains a grid that can be used to characterize geometric distortion in MRI scanners.