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Proceedings Paper

Feature-based image registration for digital subtraction angiography
Author(s): Ping Hua; Isaac Fram
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Paper Abstract

Digital subtraction is a powerful technique for enhancing vascular features in digital angiography. However, it requires accurate estimation of the relative motion between a contrast and a mask image. We have developed an algorithm that uses the edge features in the contrast and mask images to estimate the relative displacement. The edge detection method and the use of deterministic sign change (DSC) as a similarity measure are discussed. We use a synthesized image and clinical images to demonstrate that the edge-based method is more robust and accurate than those using the native images. The algorithm is efficient in computation and can be easily implemented in hardware for real-time applications.

Paper Details

Date Published: 14 September 1993
PDF: 8 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154515
Show Author Affiliations
Ping Hua, Siemens Gammasonics, Inc. (United States)
Isaac Fram, Siemens Gammasonics, Inc. (United States)


Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)

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