An improved algorithm for intraoperative registration of computed tomographic left atrial images

Area of Science:

• Medical Imaging
• Cardiac Electrophysiology
• Computational Anatomy

Background:

• Preoperative computed tomographic (CT) images of the left atrium (LA) are crucial for planning catheter ablation procedures.
• LA shape changes between preoperative and intraoperative settings limit the utility of standard CT image registration.
• Inaccurate registration can lead to errors in spatial juxtaposition during catheter navigation.

Purpose of the Study:

• To evaluate a novel algorithm, ImageMorph, for improving CT image registration in the LA.
• To compare the performance of ImageMorph against a conventional rigid registration algorithm (CartoMerge).

Main Methods:

• Ten patients underwent CT image registration using intraoperative intracardiac echocardiography-derived LA endocardial points.
• Two registration methods were compared: rigid (CartoMerge) and non-rigid (ImageMorph).
• ImageMorph allowed for malleable deformation of the CT image to match intraoperative points.

Main Results:

• No significant differences in LA volume or pulmonary vein antral dimensions were observed between the two methods.
• ImageMorph demonstrated significantly improved registration quality compared to CartoMerge.
• Mock circumferential ablation accuracy was also significantly better with ImageMorph.

Conclusions:

• The ImageMorph algorithm shows promise for enhancing CT image-guided ablation accuracy.
• Further clinical studies are warranted to determine the procedural and clinical benefits of ImageMorph over existing methods.