  In this article, we present the work towards improving the overall workflow
of the Percutaneous Coronary Interventions (PCI) procedures by capacitating the
imaging instruments to precisely monitor the steps of the procedure. In the
long term, such capabilities can be used to optimize the image acquisition to
reduce the amount of dose or contrast media employed during the procedure. We
present the automatic VOIDD algorithm to detect the vessel of intervention
which is going to be treated during the procedure by combining information from
the vessel image with contrast agent injection and images acquired during
guidewire tip navigation. Due to the robust guidewire tip segmentation method,
this algorithm is also able to automatically detect the sequence corresponding
to guidewire navigation. We present an evaluation methodology which
characterizes the correctness of the guide wire tip detection and correct
identification of the vessel navigated during the procedure. On a dataset of
2213 images from 8 sequences of 4 patients, VOIDD identifies
vessel-of-intervention with accuracy in the range of 88% or above and absence
of tip with accuracy in range of 98% or above depending on the test case.
