Description:
- Magnetic resonance imaging (MRI)
Abstract
USC researchers have developed a method to increase the clinical usability of these prior techniques through a data sampling scheme that can be generated "on-the-fly" on MRI scanners. The key features are computational efficiency and compatibility with modern MRI constrained reconstruction.
Benefit
- Efficient sampling scheme for time-resolved 3D MRI
- Highly accelerated DCE-MRI
- Compatible with modern reconstruction methods and parallel imaging and compressed sensing
Market Application
Magnetic resonance imaging (MRI) involves tradeoffs between data acquisition speed, spatial resolution, spatial coverage, and signal-to-noise ratio. The need for speed in dynamic 3D MRI has led to the use of under-sampled data acquisitions and constrained reconstruction algorithms that incorporate prior information. Several potential benefits have been demonstrated in the recent literature, including improved spatio-temporal resolution, and spatial coverage to imaging protocols such as dynamic contrast enhanced (DCE) MRI and angiography.
Publications
GOCART: GOlden-angle CArtesian Randomized Time-resolved 3D MRI, Magnetic Resonance Imaging (2015)
Stage of Development
- Experimentally validated
- Available for exclusive and non-exclusive licensing