Prof. Alison Marsden and her colleagues have developed a computational framework that uses personalized anatomical information to identify patients that have a high risk for saphenous vein graft (SVG) failure after coronary artery bypass graft (CABG).
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.
Osteoarthritis, the most common form of arthritis, is a degenerative joint disease in which mechanical factors play a very important role. Knee osteoarthritis in particular is sensitive to mechanical factors associated with the biomechanics of walking.
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
A team of Stanford researchers has developed a precisely controlled hydrogel drug delivery system that prevents scarring and promotes wound healing in large, full thickness wounds.
Engineers in Prof. Mark Cutkosky's laboratory have developed patented electrostrictive elements that can support high loads over a long lifetime when used as variable suspension systems for robots, autonomous vehicles or prosthetics.
The Rai1-Tag knock-in allele expresses a FLAG/myc-tagged RAI1 (Rai1-Tag) before Cre recombinase exposure. Cre-mediated deletion of the floxed FLAG-myc-STOP sequence results in expression of RAI1/EGFP fusion protein (Rai1EGFP).
Stanford researchers in the McNab lab have developed a marker-less neuro-navigation device that only needs to be setup once during the first transcranial magnetic stimulation (TMS) session and by tracking the subjects head, automatically achieves the same accurate coil locatio
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.
Engineers in Prof. Khuri-Yakub's laboratory have developed ultrasonic methods for non-invasive flow meters to accurately measure flow rate, pressure, velocity and other parameters of gas or liquid traveling through a pipe.
Engineers in Prof. Khuri-Yakub's laboratory have developed ultrasonic methods for non-invasive flow meters to accurately measure flow rate, pressure, velocity profile and other parameters of gas or liquid traveling through a pipe.
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.
Stanford researchers designed a system to enable x-ray visualization of the tracheobronchial tree to aid the physician in guiding endoscopic tools in the pulmonary tract.