Comparison of partial Fourier reconstruction algorithms in MRI image processing
10.3969/j.issn.1671-8348.2016.20.022
- VernacularTitle:磁共振图像处理中部分傅里叶重建算法的比较
- Author:
Wenjing HE
;
Xiaowen CHEN
;
Gaojie ZHU
;
Hai LUO
- Publication Type:Journal Article
- Keywords:
partial Fourier reconstruction;
magnetic resonance image;
k-space
- From:
Chongqing Medicine
2016;45(20):2804-2806,2809
- CountryChina
- Language:Chinese
-
Abstract:
Objective To compare the various partial Fourier reconstruction algorithms in MRI image processing and their advantages and disadvantages for improving algorithm .Methods Based on the conjugate symmetry in k‐space data in the partial Fourier reconstruction algorithm theory ,the 1 .5T medical magnetic resonance equipment was utilized ,the k‐space data were collect‐ed ,in reconstruction ,only 55% -80% of full data were utilized to simulate the partial collection pattern and reconstruct the images by using the several algorithms of zero filling ,conjugate synthesis ,Homodyne detection and POCS .Results The results presented that the ringing artifact was most obvious in the conjugate filling pattern and the POCS algorithm had the best effect for eliminating the ringing artifact .Conclusion The POCS algorithm repeatedly uses the weighted iteration with low frequency phase positions , which eliminates artifact ,meanwhile causes the lose of high frequency image details ,moreover the time consuming is longer ;the Ho‐modyne algorithm can keep a good balance between maintaining the image details and diminishing ringing .If the Sinc function serves as a weighting function for conducting phase unwrapping ,the image quality may be further improved .
