Multi-sequence magnetic resonance imaging integration framework for image-guided catheter ablation of scar-related ventricular tachycardia

Qian Tao; Julien Milles; Carine van Huls van Taxis; Johan H. C. Reiber; Katja Zeppenfeld; Rob J. van der Geest

doi:10.1117/12.910699

17 February 2012 Multi-sequence magnetic resonance imaging integration framework for image-guided catheter ablation of scar-related ventricular tachycardia

Qian Tao, Julien Milles, Carine van Huls van Taxis, Johan H. C. Reiber, Katja Zeppenfeld, Rob J. van der Geest

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Proceedings Volume 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling; 831616 (2012) https://doi.org/10.1117/12.910699
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Catheter ablation is an important option to treat ventricular tachycardias (VT). Scar-related VT is among the most difficult to treat, because myocardial scar, which is the underlying arrhythmogenic substrate, is patient-specific and often highly complex. The scar image from preprocedural late gadolinium enhancement magnetic resonance imaging (LGE- MRI) can provide high-resolution substrate information and, if integrated at the early stage of the procedure, can largely facilitate the procedure with image guidance. In clinical practice, however, early MRI integration is difficult because available integration tools rely on matching the MRI surface mesh and electroanatomical mapping (EAM) points, which is only possible after extensive EAM has been performed. In this paper, we propose to use a priori information on patient posture and a multi-sequence MRI integration framework to achieve accurate MRI integration that can be accomplished at an early stage of the procedure. From the MRI sequences, the left ventricular (LV) geometry, myocardial scar characteristics, and an anatomical landmark indicating the origin of the left main coronary artery are obtained preprocedurally using image processing techniques. Thereby the integration can be realized at the beginning of the procedure after acquiring a single mapping point. The integration method has been evaluated postprocedurally in terms of LV shape match and actual scar match. Compared to the iterative closest point (ICP) method that uses high-intensity mapping (225±49 points), our method using one mapping point reached a mean point-to-surface distance of 5.09±1.09 mm (vs. 3.85±0.60 mm, p<0.05), and scar correlation of -0.51±0.14 (vs. -0.50±0.14, p=NS).

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Qian Tao, Julien Milles, Carine van Huls van Taxis, Johan H. C. Reiber, Katja Zeppenfeld, and Rob J. van der Geest "Multi-sequence magnetic resonance imaging integration framework for image-guided catheter ablation of scar-related ventricular tachycardia", Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 831616 (17 February 2012); https://doi.org/10.1117/12.910699

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KEYWORDS

Magnetic resonance imaging

Blood

Associative arrays

Image enhancement

Image processing

Information fusion

Ions

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