Cardiac MRI Through-Plane Super-Resolution Guided by Reference and Memory

• URL: http://arxiv.org/abs/2607.07581v1
• Date: Wed, 08 Jul 2026 16:04:06 GMT
• Title: Cardiac MRI Through-Plane Super-Resolution Guided by Reference and Memory
• Abstract summary: Clinical cardiac MRI is commonly acquired with high in-plane resolution but coarse through-plane resolution.<n>We propose STRMSR, a reference- and memory-guided through-plane super-resolution framework.<n>Our method uses coarse-to-fine contextual matching to establish robust correspondence between low-resolution target and reference/memory images.
• Score: 4.642439193156724
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Clinical cardiac MRI is commonly acquired with high in-plane resolution but coarse through-plane resolution to reduce scan time and accommodate breath-hold and cardiac-motion constraints, which limits 3D analysis and diagnostic accuracy. We propose STRMSR, a reference- and memory-guided through-plane super-resolution (SR) framework that reconstructs high-resolution (HR) cardiac volumes by leveraging HR reference views acquired from the same subject and intermediate SR results as the memory. Our method uses coarse-to-fine contextual matching to establish robust correspondence between low-resolution target and reference/memory images under spatial misalignment. A learnable patch-wise dynamic feature aggregation module predicts content-adaptive mixture weights for each local patch, effectively fusing dynamic information while suppressing unreliable feature transfers. The intermediate SR results stored in the memory bank ensure slice-to-slice consistency for the super-resolved 3D volume. Experiments on the WHS cardiac MRI dataset under two reference protocols, orthogonal-plane views and long-axis chamber views, demonstrate consistent improvements over baselines at 4x and 8x upsampling factors.

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