Paper
20 March 2015 Remapping of digital subtraction angiography on a standard fluoroscopy system using 2D-3D registration
Mazen G. Alhrishy, Andreas Varnavas, Alexis Guyot, Tom Carrell, Andrew King, Graeme Penney
Author Affiliations +
Abstract
Fluoroscopy-guided endovascular interventions are being performing for more and more complex cases with longer screening times. However, X-ray is much better at visualizing interventional devices and dense structures compared to vasculature. To visualise vasculature, angiography screening is essential but requires the use of iodinated contrast medium (ICM) which is nephrotoxic. Acute kidney injury is the main life-threatening complication of ICM. Digital subtraction angiography (DSA) is also often a major contributor to overall patient radiation dose (81% reported). Furthermore, a DSA image is only valid for the current interventional view and not the new view once the C-arm is moved. In this paper, we propose the use of 2D-3D image registration between intraoperative images and the preoperative CT volume to facilitate DSA remapping using a standard fluoroscopy system. This allows repeated ICM-free DSA and has the potential to enable a reduction in ICM usage and radiation dose. Experiments were carried out using 9 clinical datasets. In total, 41 DSA images were remapped. For each dataset, the maximum and averaged remapping accuracy error were calculated and presented. Numerical results showed an overall averaged error of 2.50 mm, with 7 patients scoring averaged errors < 3 mm and 2 patients < 6 mm.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mazen G. Alhrishy, Andreas Varnavas, Alexis Guyot, Tom Carrell, Andrew King, and Graeme Penney "Remapping of digital subtraction angiography on a standard fluoroscopy system using 2D-3D registration", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94131O (20 March 2015); https://doi.org/10.1117/12.2082023
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KEYWORDS
Image registration

Angiography

Visualization

Image segmentation

Computed tomography

Image enhancement

Blood vessels

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