Research on a Multi-modal Enhanced Denoising Diffusion Model for Hyperpolarized 129Xe MRI

doi:10.11938/cjmr20253153

Abstract

Abstract:

Hyperpolarized ¹²⁹Xe magnetic resonance imaging (MRI) is an emerging medical imaging technique that plays an important role in the diagnosis and treatment of numerous lung diseases. However, the noise generated during the acquisition process affects the data quality and limits the reliability of the technique in clinical diagnosis and treatment. In this paper, we propose a multimodal feature-enhanced conditional diffusion model based on deep learning that aims to remove noise and improve image quality. The model inputs acquired ¹H MRI as constraints, and a multimodal feature enhancement module is specially designed, which aims to enhance the effectiveness of the model in exploiting multimodal information and the sensitivity to changes in local details of the image. The experimental results show that the method has the best denoising performance and detail preservation compared to other methods, and demonstrate in a ventilation defect segmentation task that the method can enhance the reliability of ¹²⁹Xe MRI in clinical practice.

Key words: diffusion model, hyperpolarized ¹²⁹Xe MRI, multi-modal, image denoising, deep learning

CLC Number:

O482.53

ZHANG Mingyu, XIAO Sa, SHI Shengjie, ZHANG Xuecheng, ZHOU Xin. Research on a Multi-modal Enhanced Denoising Diffusion Model for Hyperpolarized ¹²⁹Xe MRI[J]. Chinese Journal of Magnetic Resonance, 2025, 42(4): 364-377.

Figures/Tables 12

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References 31

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方法	PSNR	SSIM
噪声图像	17.973±3.237**	0.512±0.163**
NLM	20.862±3.481**	0.584±0.079**
UNLM	24.319±3.125**	0.431±0.153**
DnCNN	30.758±2.739**	0.814±0.053**
HTC-net	31.915±2.452**	0.843±0.057**
DDPM	32.116±2.283*	0.827±0.055**
DDPM-HXe	33.264±2.594	0.847±0.058

方法	PSNR	SSIM
噪声图像	17.973±3.237**	0.512±0.163**
实验组一	32.032±2.174**	0.831±0.052**
实验组二	32.116±2.283**	0.827±0.055**
实验组三	32.694±2.272*	0.835±0.053**
实验组四	31.972±2.189**	0.819±0.052**
实验组五	33.264±2.594	0.847±0.058

Research on a Multi-modal Enhanced Denoising Diffusion Model for Hyperpolarized ¹²⁹Xe MRI

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