论文标题
OCMR（v1.0） - 用于心血管磁共振成像的开放式多圈k空间数据集
OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging
论文作者
论文摘要
心血管MRI（CMR）是一种非侵入性成像方式，在不使用电离辐射的情况下提供出色的软组织对比度。生理动作和MRI数据获取速度有限需要开发加速方法，该方法通常依赖于底漆。从高度不足的数据中恢复诊断质量的CMR图像一直是一个活跃的研究领域。最近，已经提出了几种数据采集和处理方法来加速CMR。数据可用性以客观评估和比较不同的重建方法可以加快创新并促进这些方法的临床翻译。在这项工作中，我们引入了一个名为OCMR的开放式数据集，该数据集可提供来自53个完全采样和212个前瞻性不足的心脏Cine系列的多线圈K-Space数据。
Cardiovascular MRI (CMR) is a non-invasive imaging modality that provides excellent soft-tissue contrast without the use of ionizing radiation. Physiological motions and limited speed of MRI data acquisition necessitate development of accelerated methods, which typically rely on undersampling. Recovering diagnostic quality CMR images from highly undersampled data has been an active area of research. Recently, several data acquisition and processing methods have been proposed to accelerate CMR. The availability of data to objectively evaluate and compare different reconstruction methods could expedite innovation and promote clinical translation of these methods. In this work, we introduce an open-access dataset, called OCMR, that provides multi-coil k-space data from 53 fully sampled and 212 prospectively undersampled cardiac cine series.
