Webinars

SCMR Fetal CMR and CMR Pregnancy Special Interest Group

Apr 9, 2021 – Fetal Cardiac MRI: Center Specific Experience

Oct 8, 2021 – Fetal CMR: “What’s in my exam card?” A practical guide to acquisition and post-processing methods

Northh Medical

2023 Webinar Series – Fetal Cardiac Imaging Using MRI

MOG

MOG – metric optimized gating

MOG logo

github.com/metricOptimizedGating

retrospective image-based cardiac gating for segmented acquisitions using entropy-based metrics to guide data consistency in reconstructed balanced steady state free precession (bSSFP) and phase contrast (PC) MR images

2D Cartesian cine bSSFP and PC MR

metricoptimizedgating.github.io/MOG-Public

  • anatomical and cine imaging using standard vendor 2D phase contrast MR sequences
  • MOG algorithm adjusts timing of each measurement (k-space line) according to metric optimized heart rate
  • read±write of Siemens TWIX (.dat) and Philips (.data/.list) raw data implemented

2D radial PC MR

  • golden angle radial 2D PC MR sequence available via Siemens C2P Exchange
  • ICE tools included with sequence to generate time-averaged magnitude image on the scanner console
  • offline tools to perform motion-corrected, time-resolved MOG reconstruction to be open source in future; currently available on request

2D radial Cine bSSFP

  • tiny golden angle radial 2D SSFP sequence available via Siemens C2P Exchange
  • ICE tools generate time-averaged magnitude image for each slice in stack
  • offline tools to perform motion-corrected, time-resolved MOG reconstruction to be open source in future; currently available on request

Smart-Sync

smart-sync – Doppler ultrasound gating device

northh smart-sync Doppler ultrasound gating device sensor box display

northh.de

MR-compatible Doppler ultrasound system for synchronization of image acquisition with the fetal cardiac cycle

  • enables the use of standard cardiac-gated MR sequences for assessment of anatomy and function
  • compatible with Siemens, GE and Philips 1.5T and 3T MR systems

SVRTK

SVRTK – slice-to-volume reconstruction toolkit

SVRTK logo

svrtk.github.io

slice-to-volume reconstruction package for fetal MRI motion correction and volumetric super-resolution reconstruction from stacks of 2D MR images

  • includes
    • SVR – original method using rigid slice-to-volume registration
    • DSVR – deformable slice-to-volume registration
    • 4D SVR – volumetric reconstruction resolved for cardiac phase (cine)
    • 4D Flow SVR – cine cardiovascular anatomy and flow volume reconstruction
  • features
    • MITK-based graphical user interface
    • Docker image of compiled toolkit
    • automated segmentation and localization
  • related repos

Blood Oximetry

quantification of blood oxygen saturation using MRI-based T1 and T2 measurements

  • magnetization-prepared 2D balanced SSFP sequence for quantification of T1 and T2 of blood in large vessels available via Siemens C2P Exchange
  • a series of T1- or T2-weighted images are generated on the scanner, which can then be used to fit for the relaxation time

Contribute

This page is maintained by Joshua van Amerom, Thomas Roberts and Eric Schrauben.

To contribute content or suggest changes, please email us or submit a pull request to this git repo.