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    • 1. 发明申请
    • Method, apparatus and computer program product for the interactive rendering of multivalued volume data with layered complementary values
    • 用于交互式渲染具有分层互补值的多值体数据的方法,装置和计算机程序产品
    • US20030234781A1
    • 2003-12-25
    • US10431130
    • 2003-05-06
    • Brown university Research Foundation
    • David H. LaidlawAndreas Wenger
    • G06T015/00
    • G06T15/08
    • Described is a system, method and computer program product for rendering volumetric multivalued primary data. The system includes a rendering engine having an input coupled to a source of multivalued primary data and an output coupled to a display. The rendering engine includes a data processor for calculating additional data values from the primary data, deriving at least one visual representation from the primary data and the additional data values, and mapping the derived visual representation through transfer functions to hardware primitives for volumetrically rendering the derived visual representation to provide a visualization. The system further includes a user interface for interacting with the visualization. The source of primary data can be a magnetic resonance imaging system, and the primary data may be a multivalued combination obtained from T1 weighted data, T2 weighted data, diffusion data, velocity data, magnetization transfer data, perfusion data, data derived from other imaging modalities (e.g., PET), and simulation data. The primary data can be diffusion tensor data generated by the MRI system from tissue, and the data processor operates to identify directed diffusion paths and to render the directed diffusion paths as thread-like structures. Indications of at least flowing blood velocity and vorticity can also be rendered from MRI data or from simulations.
    • 描述了一种用于渲染体积多值主数据的系统,方法和计算机程序产品。 该系统包括渲染引擎,其具有耦合到多值主数据源的输入和耦合到显示器的输出。 呈现引擎包括用于从主数据计算附加数据值的数据处理器,从主数据和附加数据值导出至少一个视觉表示,并且通过传递函数将导出的视觉表示映射到硬件基元,用于体积地渲染所导出的 视觉表示来提供可视化。 系统还包括用于与可视化进行交互的用户界面。 主要数据源可以是磁共振成像系统,主要数据可以是从T1加权数据,T2加权数据,扩散数据,速度数据,磁化传递数据,灌注数据,从其他成像得到的数据获得的多值组合 模式(例如PET)和模拟数据。 主要数据可以是由MRI系统从组织产生的扩散张量数据,并且数据处理器操作以识别定向扩散路径并将定向扩散路径呈现为线状结构。 至少流动的血液速度和涡度的指示也可以从MRI数据或模拟中得到。