This Article Figures Only Full Text Full Text (PDF) Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via Google Scholar Google Scholar Articles by Byrne, J V Articles by Hawkes, D J Search for Related Content PubMed PubMed Citation Articles by Byrne, J V Articles by Hawkes, D J

Assessment of a technique for 2D–3D registration of cerebral intra-arterial angiography

¹ Department of Neuroradiology, Nuffield Department of Surgery, University of Oxford, Radcliffe Infirmary, Woodstock Road, Oxford OX2 6HE, ² Division of Imaging Sciences, Kings College London, Thomas Guy House, Guys Hospital, London SE1 9RT, ³ National Hospital for Neurology & Neurosurgery, Queen Square, London WC1 3BG and ⁴ Department of Engineering Sciences, University of Oxford, 17 Parks Road, Oxford OX1 3PJ, UK

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.