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Abstract #4401

Validation of a Vasculature-Based Co-Registration Technique of X-Ray and MR Images for the Guidance of Cardiovascular Interventions

Perry Radau1, Andriy Smatukha2, Peter Jones1, Regis Vaillant3, Alexander J. Dick4, Graham A. Wright1

1Imaging Research, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; 2Applied Science Laboratory, General Electric Healthcare, Toronto, ON, Canada; 3Applied Science Laboratory, General Electric Healthcare, Buc, France; 4Cardiology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada


Combined X-ray and MRI (XMR) guidance of interventions has been shown to offer considerable benefits by providing soft-tissue and functional information and real-time visualization of devices. This study presents and validates a software solution, FluoroFusion, which does not require hardware calibrations, optical tracking, or external markers. Phantom images were successfully fused with 3D error of 1.7 0.7 mm and range 0.1-3.7 mm, from 14 trials utilizing two X-ray views each. In a study with patient data the accuracy was similar based on qualitative visual assessment. Its use requires minimal workflow adjustment or operator time. Images from any stand-alone MRI and X-ray systems could be used with Fluorofusion.

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