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Tissue surface roughness quantification based on image data and determination of a presence of disease based thereon

机译:基于图像数据的组织表面粗糙度量化并基于其确定疾病的存在

摘要

Described herein is an approach to identify a presence (or absence) of a tissue disease based on a quantification of a roughness of a surface of the tissue represented in imaging data. The approach includes an image data processor (120) with a surface roughness quantifier (206) that generates a metric that quantifies a roughness of a surface of a tissue of interest in 3D image data based on a surface model adapted to the tissue of interest in the 3D image data and a decision component (208) that generates a value signal indicating a presence or an absence of disease in the tissue of interest based on the metric.
机译:本文描述了一种基于对成像数据中表示的组织的表面的粗糙度的量化来识别组织疾病的存在(或不存在)的方法。该方法包括具有表面粗糙度量化器( 206 )的图像数据处理器( 120 ),该表面粗糙度量化器生成用于量化3D感兴趣组织表面粗糙度的度量基于适用于3D图像数据中的目标组织的表面模型和决策组件( 208 )生成的图像数据,该决策组件生成指示目标组织中疾病存在或不存在的值信号根据指标。

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