Virtual angioscopy by means of three-dimensional rotational angiography of the aortoiliac arteries View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-04-20

AUTHORS

F. Pozzi Mucelli, S. Bruni, M. Doddi, M. Cova

ABSTRACT

Purpose.The aim of this study was to report the different findings that can be visualised with virtual angioscopy starting from rotational angiography (RA) and three-dimensional (3D) image processing (3DRA) in the evaluation of the abdominal aorta and iliac arteries.Materials and methods.Fifty-seven patients showing an occlusive or aneurysmal disease of the abdominal aorta and iliac arteries underwent intraarterial digital subtraction angiography (DSA) equipped with the RA function and a 3D workstation. We found that 3DRA is able to generate images of the examined vessels with a very effective 3D appearance; furthermore, it is able to create images of the lumen and wall of the vessel through two different modalities: endoviews and cross sections. The possibility of matching high-density structures (i.e. calcified plaques and stents) to standard 3D reconstructions of the examined arteries was applied.Results.Different aspects of the arteries can be demonstrated in the angioscopic elaborations: the normal and stenotic lumen, artery bifurcations, the collateral vessel origins and the severity and extensions of atheromatous calcifications and their relationships to the vessel wall. Virtual angioscopy is able to visualise some devices (catheters, stents) introduced during diagnostic and interventional procedures.Conclusions.The constant technological evolution of diagnostic imaging is offering new image-processing techniques, providing new types of previously unexplored information. We present a summary of the different radiological findings that can be demonstrated with this new imaging technique. More... »

PAGES

420-434

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11547-007-0151-7

DOI

http://dx.doi.org/10.1007/s11547-007-0151-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003572277

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17440693


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