Diffusion magnetic resonance imaging based on image block matching constraints
10.3969/j.issn.1005-202X.2024.10.007
- VernacularTitle:基于图像块匹配约束的弥散磁共振成像
- Author:
Zhongbiao XU
1
;
Guanhua DENG
;
Wei HUANG
Author Information
1. 南方医科大学附属广东省人民医院(广东省医学科学院)放疗科,广东 广州 510080
- Keywords:
diffusion-weighted imaging;
image reconstruction;
block matching;
image constraint
- From:
Chinese Journal of Medical Physics
2024;41(10):1237-1242
- CountryChina
- Language:Chinese
-
Abstract:
Objective To improve the image reconstruction quality of diffusion-weighted imaging with high acceleration factor for accelerating the acquisition.Methods Image block matching method was used to extract similar image blocks in diffusion-weighted images for low-rank constraint and sparseness constraint,and it was integrated into the traditional sensitivity encoding(SENSE)parallel reconstruction algorithm to improve image reconstruction quality and reduce image noise.Two sets of human data were collected in the experiments.The reconstructed results using traditional SENSE reconstruction,total variation constraint-based SENSE(SENSE-TV)reconstruction and the proposed method were compared at 3×and 4×accelerations.The errors of the diffusion images and fractional anisotropy(FA)maps with the reference images from fully sampled data were quantitatively calculated.Results Compared with traditional SENSE and SENSE-TV methods,the proposed method resulted in the reconstructed diffusion images with higher image quality and lower image errors in the 3×and 4×acceleration experiments.The quantitative analysis showed that the FA calculated by the proposed method was more accurate and had lower errors.Conclusion By constraining low-rank and sparseness of similar image blocks from images in reconstruction,it is expected to achieve high image quality under high acceleration factor.
