Stanford researchers have developed a fast, multi-dimensional MRI procedure which records and correlates at least five dimensions of anatomic, physiologic, and functional information applicable for cardiac imaging.
Stanford researchers have developed an algorithm to achieve uniform excitation and image uniformity in the presence of a non-uniform transmit field while limiting local power deposition or "hot spots" using multiple transmit channels and the methid of "parallel transmit" or p
Nonstationary image artifacts frequently arise in MRI from off-resonance and motion. Current methods to correct these nonstationary effects are computationally expensive. Stanford researchers have developed a new deep learning framework to improve image quality in minutes.
Stanford researchers have developed an improved imaging protocol for better visualization of the thalamus. This faster acquisition leads to a better delineation of structures due to the multiple dimensions of information.
Multi-channel coil receivers for magnetic resonance imaging (MRI) accelerate the scan for fast imaging. Acceleration is typically achieved by subsampling the data acquisition and leveraging the localized spatial profiles of each coil element to reconstruct the images.
Stanford researchers have developed a novel method for the quantification of person-level network functioning, enabling the diagnosis of depression and suggesting an appropriate treatment.
Stanford researchers have designed a system to provide accelerated magnetic resonance imaging (MRI) in the presence of metallic implants, which induce variations in the static magnetic field that normally require long scan times.
Stanford researchers have patented a new method for Compressed Sensing (CS) which reconstructs signals and images from significantly fewer measurements than current standards while maintaining high reconstruction accuracy.
Stanford researchers have designed a method to perform an off-resonance corrected MRI reconstruction by modeling the off-resonance terms as part of the image encoding process.
MR-guidance for biopsy procedures features high intrinsic soft-tissue contrast. However, artifacts induced by the metallic needle such as signal void and distortions can reduce the localization of the needle and thus prevent the targeting of smaller lesions.
Stanford researchers have invented a decoder for multiplexed readouts of imaging arrays that optimizes the signal-to-noise ratio (SNR) of the decoded detector pixel signals.
Researchers at Stanford have developed a ferumoxytol-based dual-modality imaging probe that allows for long-term stem cell tracking through MRI and early diagnosis of cell apoptosis through simultaneous fluorescence imaging.