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SO-Mamba advances MRI reconstruction with state-space model

Researchers have developed SO-Mamba, a novel state-space model designed for accelerated MRI reconstruction. This model improves upon existing methods by differentiating between persistent reconstruction evidence and update-dependent information within its processing stages. SO-Mamba utilizes a State-Ownership Router to manage this evidence, leading to enhanced accuracy and anatomical coherence in MRI scans. Experiments on multiple public benchmarks demonstrate SO-Mamba's superior performance compared to CNN, Transformer, and standard Mamba-based approaches, while maintaining efficient computation. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Introduces a new model architecture that improves MRI reconstruction accuracy and efficiency.

RANK_REASON Publication of a new academic paper detailing a novel model architecture. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

COVERAGE [1]

  1. arXiv cs.CV TIER_1 · Pengcheng Fang, Hongli Chen, Fangfang Tang, Feng Liu, Xiaohao Cai, Shanshan Shan ·

    SO-Mamba: State-Ownership Mamba for Unrolled MRI Reconstruction

    arXiv:2605.22031v1 Announce Type: new Abstract: Accelerated MRI reconstruction requires recovering missing details while preserving anatomically coherent structures across large spatial regions. State-space models such as Mamba provide efficient long-range modeling, making them a…