OC-0631: First clinical demonstration of online real-time liver tumor motion monitoring on a standard linac

Real-Time Demonstration of a Bio-Inspired Motion Detection Sensor

I. ABSTRACT The ability for biological vision to operate robustly under vastly different conditions is remarkable. Biological vision systems are capable of discerning details as well as detecting object motion in a range of highly variable conditions that prove challenging to traditional cameras. The insect visual system in particular, with its compact size and minimal power utilisation, has fa...

serial liver stiffness measurements and monitoring of liver-transplanted patients in a real-life clinical practice

conclusions the pattern of longitudinally increased liver stiffness measurements efficiently supported clinical decisions for individualized management strategies. repeated transient elastography in real-life clinical practice appears to have a practical role in monitoring liver transplanted patients. background liver transplanted patients need close surveillance for early signs of graft diseas...

Automatic detection of liver tumor motion by fluoroscopy images

Background: A method to track liver tumor motion signals from fluoroscopic images without any implanted gold fiducial markers was proposed in this study to overcome the adverse effects on precise tumor irradiation caused by respiratory movement. Materials and Methods: The method was based on the following idea: (i) Before treatment, a series of fluoroscopic images corresponding to different bre...

Field Demonstration of Real-Time Wind Turbine Foundation Strain Monitoring

Onshore wind turbine foundations are generally over-engineered as their internal stress states are challenging to directly monitor during operation. While there are industry drivers to shift towards more economical foundation designs, making this transition safely will require new monitoring techniques, so that the uncertainties around structural health can be reduced. This paper presents the i...

A Real-Time Monitoring Framework for Online Auctions Frauds