The role of intensity standardization in medical image registration

被引:34
作者
Bagci, Ulas [1 ]
Udupa, Jayaram K. [2 ]
Bai, Li [1 ]
机构
[1] Univ Nottingham, Sch Comp Sci, Nottingham NG8 1BB, England
[2] Univ Penn, Dept Radiol, Med Image Proc Grp, Philadelphia, PA 19104 USA
基金
英国工程与自然科学研究理事会;
关键词
Intensity standardization; Image registration; Non-standardness; Inhomogeneity correction; Quantitative validation; MUTUAL INFORMATION; INHOMOGENEITY CORRECTION; ELASTIC REGISTRATION; MULTIMODALITY; SCALE; NOISE;
D O I
10.1016/j.patrec.2009.09.010
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Acquisition-to-acquisition signal intensity variations (non-standardness) are inherent in MR images. Standardization is a post processing method for correcting inter-subject intensity variations through transforming all images from the given image gray scale into a standard gray scale wherein similar intensities achieve similar tissue meanings. The lack of a standard image intensity scale in MRI leads to many difficulties ill tissue characterizability, image display, and analysis, including image segmentation. The influence of standardization oil these tasks has been documented well: however, effects of standardization on medical image registration have not been Studied yet. In this paper, we investigate the role of intensity standardization in registration tasks with systematic and analytic evaluations involving clinical MR images. We conducted nearly 20,000 clinical MR image registration experiments and evaluated the quality of registrations both quantitatively and qualitatively. The evaluations show that intensity variations between images degrades the accuracy of registration performance. The results imply that the accuracy of image registration not only depends oil spatial and geometric similarity but also oil the similarity of the intensity values for the same tissues in different images. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:315 / 323
页数:9
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