NONRIGID REGISTRATION WITH DIFFERENTIAL BIAS CORRECTION USING NORMALISED MUTUAL INFORMATION

被引：3

作者：

Modat, Marc ^{[1
]}

Ridgway, Gerard R. ^{[2
]}

Hawkes, David J. ^{[1
]}

Fox, Nick C. ^{[2
]}

Ourselin, Sebastien ^{[1
,2
]}

机构：

[1] UCL, Ctr Med Image Comp, London WC1E 6BT, England

[2] UCL, Dementia Res Ctr, London WC1E 6BT, England

来源：

2010 7TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO | 2010年

关键词：

RF inhomogeneity; MRI intensity nonuniformity; Differential Bias Correction; Registration; Normalised Mutual Information; FREE-FORM DEFORMATIONS; INTENSITY INHOMOGENEITY; IMAGE REGISTRATION; BRAIN MRI; DEMENTIA; ACCURATE;

D O I：

10.1109/ISBI.2010.5490337

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Intensity inhomogeneity is an important phenomenon affecting magnetic resonance imaging, which can greatly affect computational image analysis. Bias correction algorithms are commonly used, but are imperfect, leaving residual inhomogeneity that will usually differ in serial images of the same subject. This differential bias can have a detrimental effect on further processing, such as registration and quanti cation of small longitudinal changes. We embed a differential bias field model within a non-rigid registration framework. The spatial transformation and DBC parameters are optimised concurrently using the normalised mutual information as a metric. We show significant reductions in registration error with the proposed framework.

引用

页码：356 / 359

页数：4

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