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This study assesses the ability of a computer algorithm to perform automated 2D-3D registrations of digitally subtracted cerebral angiograms. The technique was tested on clinical studies of five patients with intracranial aneurysms. The automated procedure was compared against a gold standard manual registration, and achieved a mean registration accuracy of 1.3 mm (SD 0.6 mm). Two registration strategies were tested using coarse (128 x 128 pixel) or fine (256 x 256 pixel) images. The mean registration errors proved similar but registration of the lower resolution images was 3 times quicker (mean registration times 33 s, SD 13 s for low and 150 s SD 48 s for high resolution images). The automated techniques were considerably faster than manual registrations but achieved similar accuracy. The technique has several potential uses but is particularly applicable to endovascular treatment techniques.

Original publication

DOI

10.1259/bjr/27339681

Type

Journal article

Journal

Br J Radiol

Publication Date

02/2004

Volume

77

Pages

123 - 128

Keywords

Algorithms, Cerebral Angiography, Humans, Image Processing, Computer-Assisted, Intracranial Aneurysm, Reproducibility of Results, Sensitivity and Specificity