DATA FUSION IN MEDICAL IMAGING - MERGING MULTIMODAL AND MULTIPATIENT IMAGES, IDENTIFICATION OF STRUCTURES AND 3D DISPLAY ASPECTS
DATA FUSION IN MEDICAL IMAGING - MERGING MULTIMODAL AND MULTIPATIENT IMAGES, IDENTIFICATION OF STRUCTURES AND 3D DISPLAY ASPECTS
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DOI：
10.1016/0720-048x(93)90024-h
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发表时间：
1993-06-01
影响因子：
3.3
通讯作者：
GIBAUD, B
中科院分区：
文献类型：
--
作者：
BARILLOT, C;LEMOINE, D;GIBAUD, B
医学成像中的数据融合可以分为两种方式（i）解剖和功能信息的多传感器融合和（ii）通过扭曲模型进行患者间数据融合。这两个方面设定了执行解剖建模所需的方法框架，特别是在涉及大脑结构建模时。这里介绍的工作的主要相关性涉及多模式 3D 神经解剖数据库的解释。本文考虑了三类数据融合问题。第一个涉及数据组合问题，其中包括多模态配准（应用于 CT、MRI、DSA、PET、SPECT 或 MEG 的多传感器融合）。特别是，回顾了将患者数据扭曲到解剖图谱的问题并提出了解决方案。本文解决的数据融合的第二个问题是通过图像分析方法识别解剖结构。已经开发了两种技术。第一个涉及图像几何特征的分析，最终确定模糊掩模来标记感兴趣的结构。第二种技术包括通过与放松技术相关的统计图像特征来标记主要大脑结构。最后，本文回顾了最新的 3D 显示技术，特别强调体绘制和组合数据的 3D 显示。
Data fusion in medical imaging can be seen into two ways (i) multisensors fusion of anatomical and functional information and (ii) interpatient data fusion by means of warping models. These two aspects set the methodological framework necessary to perform anatomical modelling especially when concerning the modelling of brain structures. The major relevance of the work presented here concerns the interpretation of multimodal 3D neuro-anatomical data bases. Three types of data fusion problems are considered in this paper. The first one concerns the problem of data combination which includes multimodal registration (multisensor fusion applied to CT, MRI, DSA, PET, SPECT, or MEG). In particular, the problem of warping patient data to an anatomical atlas is reviewed and a solution is proposed. The second problem of data fusion addressed in this paper is the identification of anatomical structures by means of image analysis methods. Two techniques have been developed. The first one deals with the analysis of image geometrical features to end up with the determination of a fuzzy mask to label the structure of interest. The second technique consists of labelling major cerebral structures by means of statistical image features associated with relaxation techniques. Finally, the paper presents a review of up to date 3D display techniques with a special emphasis on volume rendering and 3D display of combined data.