| Validation of 3D multimodality roadmapping in interventional neuroradiology. | |
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MedLine Citation:
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PMID: 21799235 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Three-dimensional multimodality roadmapping is entering clinical routine utilization for neuro-vascular treatment. Its purpose is to navigate intra-arterial and intra-venous endovascular devices through complex vascular anatomy by fusing pre-operative computed tomography (CT) or magnetic resonance (MR) with the live fluoroscopy image. The fused image presents the real-time position of the intra-vascular devices together with the patient's 3D vascular morphology and its soft-tissue context. This paper investigates the effectiveness, accuracy, robustness and computation times of the described methods in order to assess their suitability for the intended clinical purpose: accurate interventional navigation. The mutual information-based 3D-3D registration proved to be of sub-voxel accuracy and yielded an average registration error of 0.515 mm and the live machine-based 2D-3D registration delivered an average error of less than 0.2 mm. The capture range of the image-based 3D-3D registration was investigated to characterize its robustness, and yielded an extent of 35 mm and 25° for >80% of the datasets for registration of 3D rotational angiography (3DRA) with CT, and 15 mm and 20° for >80% of the datasets for registration of 3DRA with MR data. The image-based 3D-3D registration could be computed within 8 s, while applying the machine-based 2D-3D registration only took 1.5 µs, which makes them very suitable for interventional use. |
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Authors:
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Daniel Ruijters; Robert Homan; Peter Mielekamp; Peter van de Haar; Drazenko Babic |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-7-28 |
Journal Detail:
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Title: Physics in medicine and biology Volume: 56 ISSN: 1361-6560 ISO Abbreviation: - Publication Date: 2011 Jul |
Date Detail:
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Created Date: 2011-7-29 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0401220 Medline TA: Phys Med Biol Country: - |
Other Details:
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Languages: ENG Pagination: 5335-5354 Citation Subset: - |
Affiliation:
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Interventional X-Ray (iXR), Philips Healthcare, Best, The Netherlands. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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