T2T-Bridge: Direct Diffusion Bridge Model for Thick-to-Thin Slice Infant MRI Reconstruction

doi:10.1109/ISBI60581.2025.10980952

	T2T-Bridge: Direct Diffusion Bridge Model for Thick-to-Thin Slice Infant MRI Reconstruction
	Zihao Zhu1 ; Gaofeng Wu1 ; Haowen Deng1 ; Yitian Tao1 ; Tianli Tao1 ; Weizhen Wang1 ; Luoyu Wang1 ; Zuozhen Lan 2; Meimei Yang 2; Shuting Wang 2; Jungang Liu 2; Han Zhang1,3,4
	2025-04-17
会议录名称	2025 IEEE 22ND INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
ISSN	1945-7928
DOI	10.1109/ISBI60581.2025.10980952
摘要	Accurate diagnosis and prognosis of pediatric brain diseases require high-quality MRI data. However, due to low tolerance and cooperation, pediatric neuroimaging is extremely challenging. In most clinical practice, only 2D thick-slice MRI are acquired. This type of data suffers poor through-plane resolution, losing detailed morphological and geometrical information that is often provided by 3D high-resolution (thin-slice) MRI. AI-based super-resolution of the pediatric clinical MRI holds promise for more thorough and accurate diagnosis, but can be very difficult compared to adult MRI super-resolution due to smaller brain, variable contrast, and low SNR. Current AI models could fail to retain image fidelity on this task. In this paper, we propose T2T-Bridge that learns an optimal transport path between thick-and thin-slice MRI distributions using a diffusion architecture. Specifically, we progressively reconstruct thin-slice images from thick-slice images, rather than starting from random Gaussian noise. This preserves valuable structural information contained in the original 2D MRI. This gradual resolution enhancement is also more viable than single mapping networks. We introduce anatomical priors to strengthen structural consistency and incorporate age information to adapt image style, enabling super-resolution for infant images across all age groups. Our experiments on a clinical infant dataset demonstrate the high-fidelity super-resolution performance of T2T-Bridge.
会议地点	Houston, TX, USA
会议日期	14-17 April 2025
URL	查看原文
来源库	IEEE
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/449219
专题	生物医学工程学院_硕士生生命科学与技术学院_本科生信息科学与技术学院_硕士生生物医学工程学院_PI研究组_张寒组生物医学工程学院_硕士生生物医学工程学院_硕士生生物医学工程学院_硕士生生物医学工程学院_博士生生物医学工程学院_硕士生
作者单位	1.School of Biomedical Engineering, ShanghaiTech University, Shanghai, China 2.Department of Radiology, Xiamen Children's Hospital, Children's Hospital of Fudan University at Xiamen, Xiamen, Fujian, China 3.State Key Laboratory of Advanced Medical Materials and Devices, Shanghai, China 4.Shanghai Clinical Research and Trial Center, Shanghai, China
第一作者单位	生物医学工程学院
第一作者的第一单位	生物医学工程学院
推荐引用方式 GB/T 7714	Zihao Zhu,Gaofeng Wu,Haowen Deng,et al. T2T-Bridge: Direct Diffusion Bridge Model for Thick-to-Thin Slice Infant MRI Reconstruction[C],2025.