Adaptive Processing Algorithms For Intravenous Digital Subtraction Coronary Angiography

Ching-Shan R. Lee; Walter W. Peppler; Michael S. Van Lysel; Jack T. Cusma; John D. Folts; William C. Zarnstorff; Charles A. Mistretta; Sabee Molloi; Nick Hangiandreou; Jerome C. Lancaster

doi:10.1117/12.947292

11 June 1985 Adaptive Processing Algorithms For Intravenous Digital Subtraction Coronary Angiography

Ching-Shan R. Lee, Walter W. Peppler, Michael S. Van Lysel, Jack T. Cusma, John D. Folts, William C. Zarnstorff, Charles A. Mistretta, Sabee Molloi, Nick Hangiandreou, Jerome C. Lancaster

Author Affiliations +

Proceedings Volume 0535, Application of Optical Instrumentation in Medicine XIII; (1985) https://doi.org/10.1117/12.947292
Event: 1985 Medical Imaging Conferences, 1985, California, United States

Abstract

Digital Subtraction Angiography (DSA) is commonly used in conjunction with intravenous contrast injection for detection of atherosclerotic disease in arteries outside of the heart. Images of coronary arteries obtained with intravenous DSA have been limited in quality by several important factors. Among these is the confusing background provided by superposed pulmonary veins. Because these opacify just before the coronary arteries, conventional remasking results in substantial loss in coronary artery contrast. This paper presents preliminary work on a processing scheme in which the degree of correlation between the contrast pass curves in individual pixels and a reference region can be used to adaptively suppress pulmonary structures.

Citation Download Citation

Ching-Shan R. Lee, Walter W. Peppler, Michael S. Van Lysel, Jack T. Cusma, John D. Folts, William C. Zarnstorff, Charles A. Mistretta, Sabee Molloi, Nick Hangiandreou, and Jerome C. Lancaster "Adaptive Processing Algorithms For Intravenous Digital Subtraction Coronary Angiography", Proc. SPIE 0535, Application of Optical Instrumentation in Medicine XIII, (11 June 1985); https://doi.org/10.1117/12.947292

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