Paper
2 May 2003 Fluoroscopy-based method to determine heart geometry for functional imaging of cardiac electrical activity
Raja N. Ghanem, Charulatha Ramanathan, Ping Jia, Yoram Rudy
Author Affiliations +
Abstract
A fluoroscopy based method for determining heart surface geometry has been developed and validated in phantom and human studies. Biplane fluoroscopic projections were calibrated independently. The heart contour was segmented in each projection and corresponding contour points were matched using epipolar geometry. Points in 3D were reconstructed from the corresponding contour points using point reconstruction. B-splines were approximated from the reconstructed points and meshed to form the heart surface. The fluoroscopy-reconstructed heart was validated in a phantom and human study by comparison to CT imaging. Mean, minimum, maximum and standard deviation of the absolute distance errors were computed for the fluoroscopy-reconstructed heart relative to the CT heart. The mean absolute distance error for the phantom was 4mm. The mean absolute distance error for the human subject was 10 mm. In addition to validating the geometry, we also evaluated in the human subject the feasibility of noninvasive imaging of normal cardiac electrical activity on the fluoroscopy-reconstructed heart by comparing the results to those obtained on the CT heart. Noninvasive images on the fluoroscopy-reconstructed heart by showed close correlation with those obtained on the CT heart (CC=0.70).
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raja N. Ghanem, Charulatha Ramanathan, Ping Jia, and Yoram Rudy "Fluoroscopy-based method to determine heart geometry for functional imaging of cardiac electrical activity", Proc. SPIE 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, (2 May 2003); https://doi.org/10.1117/12.480391
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KEYWORDS
Heart

Fluoroscopy

Computed tomography

Human subjects

X-ray computed tomography

Image segmentation

Calibration

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