Mr. Vimal Singh Profile

Vimal Singh

at Univ of Texasat Auastin

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Proceedings Article | 11 March 2011 Paper

Real-time cardiac surface tracking from sparse samples using subspace clustering and maximum-likelihood linear regressors

Vimal Singh, Ahmed Tewfik

Proceedings Volume 7962, 796213 (2011) https://doi.org/10.1117/12.877602

KEYWORDS: Spherical lenses, 3D modeling, Surgery, 3D image processing, Shape analysis, Image segmentation, Data modeling, Atrial fibrillation, Echocardiography, Visualization

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Cardiac minimal invasive surgeries such as catheter based radio frequency ablation of atrial fibrillation requires high-precision tracking of inner cardiac surfaces in order to ascertain constant electrode-surface contact. Majority of cardiac motion tracking systems are either limited to outer surface or track limited slices/sectors of inner surface in echocardiography data which are unrealizable in MIS due to the varying resolution of ultrasound with depth and speckle effect. In this paper, a system for high accuracy real-time 3D tracking of both cardiac surfaces using sparse samples of outer-surface only is presented. This paper presents a novel approach to model cardiac inner surface deformations as simple functions of outer surface deformations in the spherical harmonic domain using multiple maximal-likelihood linear regressors. Tracking system uses subspace clustering to identify potential deformation spaces for outer surfaces and trains ML linear regressors using pre-operative MRI/CT scan based training set. During tracking, sparse-samples from outer surfaces are used to identify the active outer surface deformation space and reconstruct outer surfaces in real-time under least squares formulation. Inner surface is reconstructed using tracked outer surface with trained ML linear regressors. High-precision tracking and robustness of the proposed system are demonstrated through results obtained on a real patient dataset with tracking root mean square error ≤ (0.23 ± 0.04)mm and ≤ (0.30 ± 0.07)mm for outer & inner surfaces respectively.

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