发明名称 ADAPTIVE CROSS-SECTIONAL AREA COMPUTATION USING STATISTICAL SIGNATURES
摘要 According to the invention, an object in an ultrasound image is characterised by considering various in-vivo object parameters and their variability within the ultrasonic imaging data. Specifically, it is assumed that the object may be defined in terms of statistical properties (or object identifying parameters), which are consistently different from properties of the environment. Such properties are referred to as the object's signature. The statistical properties are calculated (E) at selected locations within the image to determine (G) if they fall within a predetermined range of values which represents the object. If within this range, the locations are marked to indicate they are positioned within the object. A border may then be drawn around the object and the area calculated (H).
申请公布号 CA2340247(C) 申请公布日期 2009.05.12
申请号 CA19992340247 申请日期 1999.09.13
申请人 BOSTON SCIENTIFIC LIMITED 发明人 GRUNWALD, SORIN
分类号 A61B8/00;A61B8/12;G01S7/52;G06T7/60 主分类号 A61B8/00
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