面向智能多模态图像配准过程

Marwa Chaabane, Bruno Koller, I. Rodriguez
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引用次数: 1

摘要

多模态图像配准是医学领域的一项复杂任务。该任务通常需要该领域的用户/专家进行多次手动干预,以根据处理后的图像数据的特征适当调整图像配准参数。为此,用户需要从图像数据及其元信息中提取相关信息。在本文中,我们提出了一种智能全自动多式联运配准过程的新架构。该体系结构基于受自治系统体系结构启发的MAPE-K循环。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a Smart Multi-Modal Image Registration Process
The multi-modal image registration is a complex task in the medical domain. This task requires usually several manual interventions by the user/expert of the domain to adjust the image registration parameters properly to the characteristics of the processed image data. For this aim, the user needs to extract the relevant information from the image data and their metainformation. In this paper, we propose a novel architecture for a smart fully automatic multimodal registration process. This architecture is based on a MAPE-K loop inspired by the architecture of autonomous systems.
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