August 20, 2024
A Johns Hopkins-led interinstitutional research team will develop a novel photoacoustic endoscope and fluorescent contrast agent to ensure total tumor...... Read More
Medical Imaging
Researchers
Philippe Burlina
Principal Scientist, Intelligent Systems Center, Johns Hopkins Applied Physics Laboratory
Todd McNutt
Director Of Clinical Informatics, Department of Radiation Oncology and Molecular Radiation Sciences
Jeffrey H. Siewerdsen
Professor of Biomedical Engineering, Computer Science, Radiology, and Neurosurgery
Related Projects
Noninvasive Localization of Epileptic Seizures
Epilepsy affects nearly 3.5 million people in the United States and is linked to a five-fold increase in mortality. While epilepsy is often controlled with medication, 20-40% of patients are medically refractory and continue to experience seizures in spite of drug therapies. The alternative for...
Photoacoustic-Guided Hysterectomy Performed with a da Vinci Surgical Robot
Approximately 600,000 hysterectomies are performed each year in the US to remove the uterus. This surgery requires cauterization and clipping of the uterine arteries, located close to and overlapping the ureter, which can cause accidental injury to the ureter. We are developing...
SpineCloud
The overall goal of the SpineCloud project is to gain understanding and predictive power of the factors underlying spine surgery outcomes – particularly the unacceptably broad variability associated with spinal fusion. Such capability will yield evidence-based insight and decision support to improve patient selection, enable more optimal surgical planning, identify...
Related News
June 11, 2024
Harnessing advances in data science and AI, Whiting School researchers are working closely with clinicians to improve care for a...... Read More
December 19, 2023
The award acknowledges her pioneering contributions to photoacoustic imaging techniques and their applications for surgical guidance....... Read More
November 22, 2023
Johns Hopkins researchers harness the power of machine learning to develop a first approach to X-ray-guided surgical phase recognition....... Read More