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Paper
18 March 2015 Simulated evaluation of an intraoperative surface modeling method for catheter ablation by a real phantom simulation experiment
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Abstract
In this work, we propose a phantom experiment method to quantitatively evaluate an intraoperative left-atrial modeling update method. In prior work, we proposed an update procedure which updates the preoperative surface model with information from real-time tracked 2D ultrasound. Prior studies did not evaluate the reconstruction using an anthropomorphic phantom. In this approach, a silicone heart phantom (based on a high resolution human atrial surface model reconstructed from CT images) was made as simulated atriums. A surface model of the left atrium of the phantom was deformed by a morphological operation – simulating the shape difference caused by organ deformation between pre-operative scanning and intra-operative guidance. During the simulated procedure, a tracked ultrasound catheter was inserted into right atrial phantom – scanning the left atrial phantom in a manner mimicking the cardiac ablation procedure. By merging the preoperative model and the intraoperative ultrasound images, an intraoperative left atrial model was reconstructed. According to results, the reconstruction error of the modeling method is smaller than the initial geometric difference caused by organ deformation. As the area of the left atrial phantom scanned by ultrasound increases, the reconstruction error of the intraoperative surface model decreases. The study validated the efficacy of the modeling method.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Deyu Sun, Maryam E. Rettmann, Douglas Packer, Richard A. Robb, and David R. Holmes III "Simulated evaluation of an intraoperative surface modeling method for catheter ablation by a real phantom simulation experiment", Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 94152N (18 March 2015); https://doi.org/10.1117/12.2082478
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Ultrasonography

3D modeling

Data modeling

Clouds

Computed tomography

Process modeling

Calibration

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