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

J V Byrne; C Colominas; J Hipwell; T Cox; J A Noble; G P Penney; D J Hawkes

doi:10.1259/bjr/27339681

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

J V Byrne, C Colominas, J Hipwell, T Cox, J A Noble, G P Penney, D J Hawkes

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	123 - 128
Number of pages	6
Journal	British Journal of Radiology
Volume	77
Issue number	914
DOIs	https://doi.org/10.1259/bjr/27339681
Publication status	Published - Feb 2004

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AU - Penney, G P

AU - Hawkes, D J

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AB - 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.

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

Abstract

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