REGISTRATION OF RCBV AND ADC MAPS WITH STRUCTURAL AND PHYSIOLOGICAL MR IMAGES IN GLIOMA PATIENTS: STUDY AND VALIDATION
REGISTRATION OF RCBV AND ADC MAPS WITH STRUCTURAL AND PHYSIOLOGICAL MR IMAGES IN GLIOMA PATIENTS: STUDY AND VALIDATION
复制标题
神经胶质瘤患者的 RCBV 和 ADC 地图与结构和生理 MR 图像的配准：研究和验证
DOI：
10.1109/isbi.2007.356782
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
D. Hawkes
中科院分区：
文献类型：
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作者：
A. Mang;O. Camara;Gisele Brasil;W. Crum;J. Schnabel;T. Buzug;J. Rees;J. Thornton;H. Jäger;D. Hawkes
本研究的主要目的是使用图像配准技术将诊断为脑胶质瘤的患者的不同MR衍生图像（ADC和rCBV图，对比增强T1加权MR图像）的功能和结构信息联合收割机结合起来。这是一个特别具有挑战性的配准问题，由于不同的图像特性和结构和功能图像特征之间的不一致性。已经设计了具体的登记协议，包括选择关键参数，以调整多模式信息。此外，我们已经开发了一个视觉评估协议，以评估所提出的方法获得的配准结果的准确性。初步结果表明，配准误差低于功能图像分辨率，从而实现亚体素精度
The main goal of this study is to use image registration techniques to combine functional and structural information from different MR-derived images (ADC and rCBV maps, contrast enhanced T1-weighted MR images) in patients diagnosed with brain gliomas. This is a particularly challenging registration problem due to the diverse image characteristics and to the inconsistency between structural and functional image features. Specific registration protocols have been designed, including the selection of critical parameters, for the alignment of the multi-modal information. In addition, we have developed a visual assessment protocol to evaluate the accuracy of registration results obtained with the proposed methods. Preliminary results suggest that misregistration errors are below the functional image resolutions, thus achieving sub-voxel accuracy