Paper
21 February 1980 Digital Boundary Detection Techniques For The Analysis Of Gated Cardiac Scintigrams
Eric G. Hawman
Author Affiliations +
Abstract
Boundary detection in conventional nuclear medicine scintigrams is often difficult for several reasons. First, scintigrams generally have a low signal-to-noise ratio. Second, edge structures are poorly defined because of the low resolution of gamma ray cameras; and finally, edge contrast is usually reduced by foreground and background activity. In this paper we report on heuristic approaches we have taken to solve these problems and to develop programs for the display of cardiac wall notion and for the automatic determination of left ventricular ejection fraction. Our approach to processing cardiac scintigrams entails several steps: smoothing, edge enhancement; thresholding, thinning and contour extraction. We discuss each of these steps in light of the goal of producing cardiac boundaries which are spatially and temporally smooth and continuous. Boundary detection results are presented for some selected clinical images.
© (1980) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric G. Hawman "Digital Boundary Detection Techniques For The Analysis Of Gated Cardiac Scintigrams", Proc. SPIE 0205, Image Understanding Systems II, (21 February 1980); https://doi.org/10.1117/12.958157
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KEYWORDS
Image enhancement

Smoothing

Algorithm development

Image understanding

Signal to noise ratio

Blood

Sensors

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