Real-time image-features detection and tracking in non-injected fluoroscopic images

Presentation

X-ray fluoroscopic images are widely used as guidance in minimally invasive endovascular procedures. 
They allow the clinician to visualize in real-time both the anatomy and the surgical instrument navigating within the blood vessels. 
Nevertheless, when a contrast medium is not injected, these grey-scale fluoroscopic images are difficult to be interpreted, given the lack of depth perception and the overlaying anatomical structures with similar contrast.
 
The aim of this internship is to implement a calibration technique for X-ray imaging system combined with a method for real-time image-features detection and tracking in non-injected fluoroscopic images.
An additional validation study of the designed method will be carried out, in order to quantify the errors associated with the procedure.

Supervisors

  • Antoine Petit
  • Raffaella Trivisionne

Contact

Antoine Petit

Antoine Petit

Post-Doctoral Fellow
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