Respiratory motion model based correction for improving the targeting accuracy of MRI-guided intracardiac electrophysiology procedures

Robert Xu,Mihaela Pop,Nicolas Yak,Graham A Wright,Kevan Anderson,Philippa Krahn,Venkat Ramanan,Prashant Athavale,Jennifer Barry,Labonny Biswas

doi:10.1186/1532-429x-17-s1-o24

Abstract

Background Recently, there is an increased interest in using MRI to guide electrophysiology (EP) procedures as an alternative to X-ray fluoroscopy guidance, due to its excellent soft tissue contrast and lack of radiation. However, there exist tradeoffs between different MRI guidance schemes. Realtime 2D MR sequences are able to capture heart motion during an interventional setting, while sacrificing imaging quality, whereas high-resolution prior 3D roadmaps are static and do not reflect the respiratory motion of the heart. In this work, we explore the feasibility of deriving a motion model from these two complementary datasets, and evaluate its potential for improving the targeting accuracy of MRI-guided EP procedures.

Highlights

There is an increased interest in using MRI to guide electrophysiology (EP) procedures as an alternative to X-ray fluoroscopy guidance, due to its excellent soft tissue contrast and lack of radiation
Motion imaging studies were performed for 4 healthy pigs, and MRI-guided catheter ablations were successfully applied in 2 pigs
Under 3D prior roadmap guidance, an MR compatible and actively tracked catheter (Imricor Medical Systems) was placed into the left ventricle (LV), while the distal tip of the catheter was continuously tracked in realtime [1], along with the corresponding physiology data

Summary

Background

There is an increased interest in using MRI to guide electrophysiology (EP) procedures as an alternative to X-ray fluoroscopy guidance, due to its excellent soft tissue contrast and lack of radiation. There exist tradeoffs between different MRI guidance schemes. Realtime 2D MR sequences are able to capture heart motion during an interventional setting, while sacrificing imaging quality, whereas high-resolution prior 3D roadmaps are static and do not reflect the respiratory motion of the heart. We explore the feasibility of deriving a motion model from these two complementary datasets, and evaluate its potential for improving the targeting accuracy of MRI-guided EP procedures

Methods

Results

Conclusions