Stanford researchers have demonstrated a new passive cavitation mapping algorithm based on sound localization of multiple scatters of cavitation. It shows improved resolution as compared to existing passive cavitation mapping algorithms based on a basic beamforming.
Stanford researchers have patented the use of a coherent frequency-domain technique in microwave thermoacoustic imaging, which significantly improves signal-to-noise ratio (SNR) and reduces peak-power requirements without sacrificing resolution or other performance metrics.
Several linear accelerator vendors have systems with single x-ray imager. A single x-ray imager presents a challenge to estimate 3D positioning. A method to estimate the 3D position using a single x-ray imager with prior information has been developed by Stanford researchers.
High-grade serous ovarian cancer (HG-SOC) is the most lethal gynecologic malignancy, in large part because most patients present with late-stage disease and receive the same therapeutic regimen despite significant heterogeneity in disease and clinical response.
Researchers in Dr. Anton Wyss-Coray's lab have identified a new therapeutic avenue for treatment of age-related neurodegenerative diseases. Cerebrovascular changes and inflammation are key features of brain aging and neurodegeneration.
Stanford researchers have developed software that offers a solution to presenting tasks in a clinical magnetic resonance imaging facility to evoke specific responses within the human brain.
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 at the Bao Lab have designed and fabricated a highly stretchable, tough, and self-healable material with high fatigue resistance applicable for electronic (e-) skin devices.
Real-time internal target position estimation is of high interest in radiotherapy, particularly with the recent development of robotic, linear accelerator, DMLC and couch-based systems which can continuously align the radiation beam with the target.
In the presence of intra-fraction organ motion, target localization uncertainty can hamper the advantage of using highly conformal dose techniques such as intensity modulated radiation therapy (IMRT).
A team of Stanford researchers have identified a set of biomarkers that could be used to recognize patients with age-related declines in their immune function.
DNOPT (dense nonlinear optimizer) is Fortran 77 software developed by Prof Philip Gill and Elizabeth Wong (UC San Diego) and Prof Michael Saunders (Stanford).