Stanford inventors have created a novel, interactive, highly scalable computational approach for representing dynamic brain activity as a network for use in clinical settings.
Researchers in the Molecular Imaging Instrumentation Laboratory at Stanford University have developed a PET (positron emission tomography) detector and front end readout assembly that can operate in a high field MRI (magnetic resonance imaging) system.
Dr. Manish Saggar at Stanford University has developed a new method to visualize and quantify transitions in brain activity, which may be used as a diagnostic tool for mental illness.
Researchers at Stanford have developed an in vivo drug release monitoring method using magnetic particle imaging (MPI). In vivo drug release monitoring is beneficial to doctors as it provides information to guide drug dosing and helps reduce therapeutic side effects.
Stanford researchers at the Xing Lab have developed a novel method using deep neural networks called "Q2MRI" to simultaneously acquire qualitative MR image and quantitative MRI parametric maps without changing the clinical imaging protocol or elongating MRI scan tim
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.
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.