Paper
27 February 2009 Visualization and enhancement patterns of radiofrequency ablation lesions with iodine contrast-enhanced cardiac C-arm CT
Erin Girard-Hughes, Amin Al-Ahmad, Teri Moore, Günter Lauritsch, Jan Boese, Rebecca Fahrig
Author Affiliations +
Abstract
The purpose of this study was to evaluate whether contrast-enhanced C-arm CT (3D rotational angiography) can distinguish radiofrequency (RF) ablation lesions created in the left ventricle. Ablation lesions were created on the endocardial surface of the left ventricle of 6 swine using a 7 F RF ablation catheter with a 4 mm electrode. An ECGgated C-arm CT imaging protocol was used to acquire projection images during iodine contrast injection and every 5 min for up to 30 min, with no additional contrast. Reconstructed images were analyzed offline and the mean and standard deviation of the signal intensity of the ablation lesion, normal myocardium, and blood were measured. Eleven ablation lesions were visualized and the time-attenuation curve of the signal intensity was plotted. A mean signal intensity increase of 64.8 ±33.6 HU was measured in the late enhancement of seven lesions compared to normal myocardium. This is the first study to demonstrate RF ablation lesion enhancement patterns similar to those seen for MR imaging using C-arm CT, an imaging modality that can provide valuable feedback during cardiac interventional procedures.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erin Girard-Hughes, Amin Al-Ahmad, Teri Moore, Günter Lauritsch, Jan Boese, and Rebecca Fahrig "Visualization and enhancement patterns of radiofrequency ablation lesions with iodine contrast-enhanced cardiac C-arm CT", Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72621N (27 February 2009); https://doi.org/10.1117/12.812947
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KEYWORDS
Computed tomography

Visualization

Tissues

Iodine

Image acquisition

Radiofrequency ablation

3D image processing

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