Haimerl M, Moldenhauer J, Mende U, Beth T
Institute for Algorithms and Cognitive Systems, University of Karlsruhe, Germany. haimerl|
Biomed Tech (Berl). 2002;47 Suppl 1 Pt 2:629-32. doi: 10.1515/bmte.2002.47.s1b.629.
In this article we compare methods for locally adaptive preprocessing of 3D ultrasound (US) images and their different capabilities of enhancing diagnostically important anatomical structures. We show that suitability and optimization of methods depend on the objective of the preprocessing task, e.g., slice representation or volume rendering. This article analyzes which features should be used to control the enhancement algorithm For slice representations optimization of local statistics is appropriate to maintain diagnostically important structures. Features with good region separation properties are preferable for volume rendering tasks. We demonstrate our results with US images from clinical examinations.
在本文中,我们比较了三维超声(US)图像的局部自适应预处理方法及其增强诊断重要解剖结构的不同能力。我们表明,方法的适用性和优化取决于预处理任务的目标,例如切片表示或容积渲染。本文分析了应使用哪些特征来控制增强算法。对于切片表示,局部统计量的优化适合于保留诊断重要结构。具有良好区域分离特性的特征对于容积渲染任务更可取。我们用临床检查的超声图像展示了我们的结果。