Intensity-Based 2-D–3-D Registration of Cerebral Angiograms

J.H. Hipwell, G.P. Penney, Robert Mclaughlin, K. Rhode, P. Summers, T.C. Cox, J.V. Byrne, J.A. Noble, D.J. Hawkes

    Research output: Contribution to journalArticlepeer-review

    118 Citations (Scopus)

    Abstract

    We propose a new method for aligning three-dimensional(3-D) magnetic resonance angiography (MRA) with2-D X-ray digital subtraction angiograms (DSA). Our method isdeveloped from our algorithm to register computed tomographyvolumes to X-ray images based on intensity matching of digitallyreconstructed radiographs (DRRs). To make the DSA and DRRmore similar, we transform the MRA images to images of the vasculatureand set to zero the contralateral side of the MRA to thatimaged with DSA. We initialize the search for a match on a userdefined circular region of interest. We have tested six similaritymeasures using both unsegmented MRA and three segmentationvariants of the MRA. Registrations were carried out on images ofa physical neuro-vascular phantom and images obtained duringfour neuro-vascular interventions. The most accurate and robustregistrations were obtained using the pattern intensity, gradientdifference, and gradient correlation similarity measures, whenused in conjunction with the most sophisticated MRA segmentations.Using these measures, 95% of the phantom start positionsand 82% of the clinical start positions were successfully registered.The lowest root mean square reprojection errors were 1.3 mm(standard deviation 0.6) for the phantom and 1.5 mm (standarddeviation 0.9) for the clinical data sets. Finally, we present a novelmethod for the comparison of similarity measure performanceusing a technique borrowed from receiver operator characteristicanalysis.
    Original languageEnglish
    Pages (from-to)1417-1426
    JournalIEEE Transactions on Medical Imaging
    Volume22
    Issue number11
    DOIs
    Publication statusPublished - 2003

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