IMAGE AND SURFACE PROCESSING FOR BRAIN STRUCTURE ANALYSIS

用于脑结构分析的图像和表面处理

• 批准号: 7669312
• 负责人: ROSS T WHITAKER
• 金额: $ 20.45万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7669312
• 关键词: Algorithms; Base of the Brain; Brain; Brain imaging; Class; Computer-Assisted Image Analysis; Data; Detection; Equation; Fiber; Goals; Gray unit of radiation dose; Image; Measures; Medical Imaging; Methods; Modeling; Noise; Numbers; Process; Property; Shapes; Structure; Surface; Techniques; Three-Dimensional Image; Three-Dimensional Imaging; base; design; image processing; image registration; insight; multicore processor; shape analysis; tool

We will develop a new class of algorithms, of value in many medical image processing tasks. They will be designed around a synthesis of partial differential equations (PDE's) and stochastic methods. Eventually, the PDE's themselves will be modeled stochastically: That is, we will use a partial differential approach without the partial differential equations. These new algorithms will provide a fundamental substrate for new methods in segmentation, registration, and shape analysis.

我们将开发一类新的算法，在许多医学图像处理任务中都很有价值。 它们将围绕偏微分方程 (PDE) 和随机方程的综合进行设计 方法。最终，偏微分方程本身将被随机建模：也就是说，我们将使用 没有偏微分方程的偏微分方法。这些新算法将 为分割、配准和形状分析的新方法提供了基础基础。