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Proceedings Paper

Noise reduction in the inverse solution for one-dimensional cardiac active stress reconstruction
Author(s): Vignesh Venkataramani; Minyao Li; Cristian A. Linte; Niels F. Otani
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Paper Abstract

Visualizing action potentials within the cardiac tissue enables the identification of abnormal action potential wave propagation patterns for use in both clinical and cardiac research settings. Otani et al. have been investigating the possibility of using 4-D (three spatial dimensions and one time dimension) mechanical deformation data, obtained either from MRI or ultrasound images to reverse-calculate these action potential patterns. However, the inverse system is extremely sensitive to noise; that is, a small amount of perturbation from the signal can lead to a substantial perturbation in the solution if the perturbation has a high-frequency component. Here, we explore three noise reduction methods, in an attempt to reduce the effect of noise in the input data and to regularize the calculated solution.

Paper Details

Date Published: 5 March 2020
PDF: 6 pages
Proc. SPIE 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, 113172E (5 March 2020); doi: 10.1117/12.2550600
Show Author Affiliations
Vignesh Venkataramani, Rochester Institute of Technology (United States)
Minyao Li, Rochester Institute of Technology (United States)
Cristian A. Linte, Rochester Institute of Technology (United States)
Niels F. Otani, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 11317:
Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging
Andrzej Krol; Barjor S. Gimi, Editor(s)

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