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Proceedings Paper

Remapping of digital subtraction angiography on a standard fluoroscopy system using 2D-3D registration
Author(s): Mazen G. Alhrishy; Andreas Varnavas; Alexis Guyot; Tom Carrell; Andrew King; Graeme Penney
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Paper 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.

Paper Details

Date Published: 20 March 2015
PDF: 14 pages
Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94131O (20 March 2015); doi: 10.1117/12.2082023
Show Author Affiliations
Mazen G. Alhrishy, King's College London (United Kingdom)
Andreas Varnavas, King's College London (United Kingdom)
Alexis Guyot, King's College London (United Kingdom)
Tom Carrell, Guy's and St Thomas’ NHS Foundation Trust (United Kingdom)
Andrew King, King's College London (United Kingdom)
Graeme Penney, King's College London (United Kingdom)


Published in SPIE Proceedings Vol. 9413:
Medical Imaging 2015: Image Processing
Sébastien Ourselin; Martin A. Styner, Editor(s)

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