Intrinsic Navigation from Velocity-Encoding Gradients in Phase-Contrast MRI
Tech ID: 24756 / UC Case 2015-097-0
Patent Status
United States Of America |
Issued Patent |
10,132,902 |
10/20/2018 |
2015-097 |
|
|
Brief Description
Time-resolved phase contrast MRI (4D flow) can quantify cardiac function and flow. The technique may even permit complex anatomical assessment, thus comprising a comprehensive exam in a single scan. Unfortunately, artifacts from respiratory motion compromise this ability. Therefore, we developed a simple method to measure motion using readily available navigation information from the velocity-encoding gradients without any significant modification to conventional sequences.
Suggested uses
- Can be used in conjunction with any type of phase-contrast MR imaging scheme and any type of reconstruction strategy.
- Allows for high-quality images to be reconstructed from exams with long acquisition times and other types of exams that are sensitive to motion defects.
- Can be used for any part of the body that requires assessment using phase-contrast imaging. It is especially useful in cases when patients have difficulty holding still for long time periods.
- For longer scans (>1 min), breath-holds are no longer possible and respiratory motion must be considered. With the navigation technique, this imaging modality can be made accessible to a wider patient population.
Advantages
- In conventional phase-contrast sequences, no alterations to the sequence timing or gradient waveform are needed.
- Navigator information is available for every repetition time and is naturally synchronized to the acquired imaging data.
- For multi-direction phase-contrast imaging different navigators are available to describe multi-dimensional linear motion.
- In conjunction with a with a high-density multi-channel coil receiver, each coil element provides spatial localization to the navigator signals.
- The navigator measured can be used for motion compensation purposes or to prospectively gate the acquisition.
- The method can be used for any sampling strategy (both Cartesian and non-Cartesian).
Related Materials