Scalable computer architecture for digital vascular systems

Iain Goddard; Hui Chao; Mark Skalabrin

doi:10.1117/12.312503

26 June 1998 Scalable computer architecture for digital vascular systems

Iain Goddard, Hui Chao, Mark Skalabrin

Proceedings Volume 3335, Medical Imaging 1998: Image Display; (1998) https://doi.org/10.1117/12.312503
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

Digital vascular computer systems are used for radiology and fluoroscopy (R/F), angiography, and cardiac applications. In the United States alone, about 26 million procedures of these types are performed annually: about 81% R/F, 11% cardiac, and 8% angiography. Digital vascular systems have a very wide range of performance requirements, especially in terms of data rates. In addition, new features are added over time as they are shown to be clinically efficacious. Application-specific processing modes such as roadmapping, peak opacification, and bolus chasing are particular to some vascular systems. New algorithms continue to be developed and proven, such as Cox and deJager's precise registration methods for masks and live images in digital subtraction angiography. A computer architecture must have high scalability and reconfigurability to meet the needs of this modality. Ideally, the architecture could also serve as the basis for a nonvascular R/F system.

Citation Download Citation

Iain Goddard, Hui Chao, and Mark Skalabrin "Scalable computer architecture for digital vascular systems", Proc. SPIE 3335, Medical Imaging 1998: Image Display, (26 June 1998); https://doi.org/10.1117/12.312503

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KEYWORDS

Angiography

Computing systems

Computer architecture

Image processing

Mercury

Vascular imaging

Algorithm development

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