Affine Motion Compensation with Improved Reconstruction in PROPELLER MRI

LIU Xiao-wu; CHEN Wu-fan; FENG Yan-qiu; BR

您当前的位置：

首页 >

文章列表页 >

Affine Motion Compensation with Improved Reconstruction in PROPELLER MRI

更新时间：2025-07-16

- Affine Motion Compensation with Improved Reconstruction in PROPELLER MRI
- Acta Electronica Sinica Vol. 38, Issue 4, Pages: 904-0909(2010)
- 作者机构：
  
  （南方医科大学生物医学工程学院医学信息研究所，）,广东,广州,510515
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
LIU Xiao-wu, CHEN Wu-fan, FENG Yan-qiu, et al. Affine Motion Compensation with Improved Reconstruction in PROPELLER MRI[J]. Acta Electronica Sinica, 2010, 38(4): 904-0909.
DOI：

LIU Xiao-wu, CHEN Wu-fan, FENG Yan-qiu, et al. Affine Motion Compensation with Improved Reconstruction in PROPELLER MRI[J]. Acta Electronica Sinica, 2010, 38(4): 904-0909. DOI：

摘要

<FONT face=Verdana>PROPELLER (Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction)磁共振成像方法对刚性运动伪影的消除效果非常显著，已经在头部磁共振成像中获得了成功应用。但是刚性运动一般仅存在于头部成像中，人体其它部位成像往往伴随着不同程度的软组织拉伸变形。对于这种软组织变形必须基于非刚性运动模型才能准确地进行描述并加以校正。本文将PROPELLER采样中的每个k-空间条经过傅立叶逆变换重建得到临时图像，通过基于仿射运动模型的图像配准算法获得非刚性运动信息，然后根据仿射变换的频域性质，对PROPELLER采样中的每个k-空间条进行校正，最后经网格化重建得到最终图像。仿真实验与真实数据实验表明，相对于现有的PROPELLER重建算法，本文所提算法对于刚性运动与仿射运动造成的伪影均具有很好的校正效果。

Abstract

<FONT face=Verdana>PROPELLER (Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction) MRI offers an effective means for compensating rigid motion during data collection. So far

this method has been evaluated clinically and found to be able to improve image quality through quantification and correction for head motion

where hypothetically only rotation and translation is present. During imaging of other parts of body

especially in abdomen

soft tissue such as liver

deformation occurs frequently. Traditional PROPELLER reconstruction can’t model this kind of non-rigid body motion and can only attain limited compensation through correlation weighting. In this paper

a new method was proposed for affine motion correction

which extracted affine motion information from image space and compensated it in k-space. The experimental results show that the proposed method could correct artifacts due to not only the rigid motion but also the affine motion.

关键词

Keywords

references

Views

1463

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

The Area Optimized Implementation of S-box in AES Algorithm

A New Algorithm for Sampling Density Compensation in the Gridding of PROPELLER MRI Data

Video Watermarking Based on Time-Axis Template

Spread-Spectrum Watermarking Resists to Affine Transformation

Point-Pattern Matching Using Genetic Algorithm

Related Author

QI Yue

LIANG Jing

WANG Qin

CHEN Yang

HUANG Xin

YAN Gang

CHEN Wu-fan

Related Institution

（北京科技大学信息工程学院，）

Fraunhofer Institute for Computer Graphics (IGD)Fraunhoferstr 5D- DarmstadtGermany

Harbin Institute of TechnologyP.O.Box 339150001China

Fraunhofer Institute for Computer Graphics (IGD),Fraunhoferstr 5,- Darmstadt

⁰