Comparison of Intensity Based Deformable Registration Methods for Respiratory Motion Modelling from 4D MRI

被引：0
|
作者：
Golkar, Ehsan [1 ]
Abd Rahni, Ashrani Aizzuddin [1 ]
Sulaiman, Riza [2 ]
机构：
[1] Univ Kebangsaan Malaysia, Elect Elect & Syst Engn, Fac Engn & Built Environm, Bangi, Selangor, Malaysia
[2] Univ Kebangsaan Malaysia, Inst Visual Informat, Bangi, Selangor, Malaysia
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA) | 2015年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Deformable image registration is a key part of modern medical image processing and analysis. The aim of image registration is to align one image to another image. In this paper, three deformable image registration methods (NiftyReg, MRF-based and lreg) are compared based on their estimated motion field from 4D MRI data for respiratory motion modelling. The result shows that all of these methods are able to extract respiratory motion with different degrees of certainty. In terms of overall displacement for each organ, lreg with piecewise affine transformation produces more realistic motion than NiftyReg and MRF-Based registration. Finally, we can conclude that deformable image registration can be used to extract respiratory motion for applications such as integration into external beam radiotherapy treatment planning and delivery.
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收藏
页码：439 / 442
页数：4
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