Digital neuroangiography: an innovative application of PACS

George James Hademenos; Daniel J. Valentino; Robert A. Close; Gary R. Duckwiler M.D.; Fernando Vinuela

doi:10.1117/12.174037

1 May 1994 Digital neuroangiography: an innovative application of PACS

George James Hademenos, Daniel J. Valentino, Robert A. Close, Gary R. Duckwiler M.D., Fernando Vinuela

Proceedings Volume 2164, Medical Imaging 1994: Image Capture, Formatting, and Display; (1994) https://doi.org/10.1117/12.174037
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

An important aspect of interventional neuroradiological procedures is the ability to access and interact with digital angiographic images to select and clinically evaluate intravascular therapeutic treatment. These issues can be adequately addressed and successfully accomplished using PACS. PACS provides the key technologies needed to access, display, and analyze sequential angiographic images. A dedicated neuroradiology PACS network consisting of workstations for the review of diagnostic data, quantitative analysis of arterial blood flow, and therapeutic assessment has been established at UCLA. The PACS provides not only a reliable and efficient infrastructure for on-line image retrieval and delivery of all digitally acquired angiographic images, but could also serve as a network supercomputing resource for computationally intensive calculations of hemodynamic parameters in the cerebral vasculature. In summary we have developed an innovative application of PACS in neuroangiography. It offers: (1) automatic optimized image display upon acquisition; (2) automatic retrieval of archived cases for a current patient; and, (3) a rapid, streamlined user interface for the quantitation of hemodynamic flow phenomena in normal and diseased cerebral vessels.

Citation Download Citation

George James Hademenos, Daniel J. Valentino, Robert A. Close, Gary R. Duckwiler M.D., and Fernando Vinuela "Digital neuroangiography: an innovative application of PACS", Proc. SPIE 2164, Medical Imaging 1994: Image Capture, Formatting, and Display, (1 May 1994); https://doi.org/10.1117/12.174037

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