Multidimensional and Multiparametric Quantitative Cardiac MRI from Continuous Free-Breathing Acquisition

连续自由呼吸采集的多维和多参数定量心脏 MRI

• 批准号: EP/P032311/1
• 负责人: Claudia Prieto
• 金额: $ 72.07万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FP032311%2F1
• 关键词: Multidimensional; Multiparametric; Quantitative; Cardiac; MRI

Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality in the Western world, causing over 65.000 deaths every year in England. Improving the treatment and outcome of cardiovascular disease is one of the main priorities of the National Health Service (NHS) and a reduction of 25% in mortality associated to cardiovascular disease by the year 2025 is one of the major challenges proposed by the United Nations. Magnetic Resonance Imaging (MRI) is a very promising non-invasive tool for early risk assessment, guidance of therapy and treatment monitoring of CVD. MRI has been shown to provide exquisite depiction of cardiac anatomy and is considered the gold standard to assess ventricular volumes and function. More recently, quantitative mapping of magnetic relaxation properties (known as e.g. T1 and T2 relaxation times) have been developed to standardise the quantitative measurement of myocardial tissue properties, enabling non-invasive characterisation and differentiation of diseased and healthy tissue. Clinical research studies have shown the potential of parametric mapping techniques for quantification of diffuse myocardial fibrosis (T1 map) and the assessment of myocardial oedema and inflammation (T2 map). Thus, MR parameter mapping offer the promise of early disease detection and monitoring over time or in response to therapy, changing the MR paradigm from visualisation to quantification.The limitation of the current MRI scheme is that all these images (e.g. cardiac anatomy, function, T1 map and T2 map) are acquired sequentially, usually with different resolution, different geometric orientations and at different breath-hold positions. This scheme requires patient cooperation as acquisitions are usually performed under multiple breath holds, requires experienced radiographers to plan and perform the different acquisitions, and results in long scan times. Moreover patients are usually unable to hold their breath at the same respiratory position. Thus images acquired at different breath-holds cannot be directly fused thereby affecting diagnosis, accuracy and reproducibility of cardiac MRI. The method proposed in this project will overcome these problems by allowing the simultaneous acquisition of MR images with multiple parameters (e.g. cardiac anatomy, function, T1 map and T2 map), throughout the whole cardiac and respiratory cycles, from a single free-breathing acquisition. Thus providing anatomic and functional information simultaneously with quantitative information of multiple tissue parameters for an efficient (single scan, shorter and predictable scan time), accurate, simplified (less planning required and more comfortable for the patients) and comprehensive assessment of cardiovascular disease.

心血管疾病（CVD）是西方世界发病率和死亡率的主要原因，每年在英格兰造成65.000多人死亡。改善心血管疾病的治疗和结果是国家卫生局（NHS）的主要优先事项之一，到2025年，与心血管疾病相关的死亡率降低了25％，是联合国提出的主要挑战之一。磁共振成像（MRI）是一种非常有前途的非侵入性工具，用于早期风险评估，治疗指导和CVD的治疗监测。 MRI已被证明提供了心脏解剖结构的精美描述，并被认为是评估心室体积和功能的黄金标准。最近，已经开发了磁性弛豫特性（例如T1和T2弛豫时间）的定量映射，以标准化心肌组织特性的定量测量，从而实现了无创的特征和患病和健康组织的分化。临床研究表明，参数映射技术的潜力对弥漫性心肌纤维化（T1 MAP）进行定量以及心肌水肿和炎症的评估（T2 MAP）。因此，MR参数映射提供了早期疾病检测和随着时间或对治疗的监测的承诺，将MR范式从可视化更改为量化。当前MRI方案的限制是，所有这些图像（例如，心脏解剖学，功能，T1 MAP和T2 MAP）均获得了顺序的，通常都具有不同的分辨率，不同的分辨率，不同的几何学方面和不同的呼吸方向。该方案需要患者的合作，因为通常在多次呼吸下进行采集，需要经验丰富的射线照相仪来计划和执行不同的采集，并在长时间的扫描时间内导致。而且，患者通常无法在相同的呼吸位置屏住呼吸。因此，在不同的呼吸中获得的图像不能直接融合，从而影响心脏MRI的诊断，准确性和可重复性。该项目中提出的方法将通过在整个心脏和呼吸周期中同时获得具有多个参数（例如心脏解剖，功能，T1 MAP和T2 MAP）的MR图像来克服这些问题。因此，同时提供了多个组织参数的定量信息，以提供有效的（单扫描，较短且可预测的扫描时间），准确，简化（对患者需要更少的计划和更舒适的心血管疾病评估）。

项目成果

Additional file 1 of 3D whole-heart isotropic sub-millimeter resolution coronary magnetic resonance angiography with non-rigid motion-compensated PROST

使用非刚性运动补偿 PROST 的 3D 全心各向同性亚毫米分辨率冠状动脉磁共振血管造影的附加文件 1

• DOI: 10.6084/m9.figshare.12143886
• 发表时间: 2020
• 作者: Bustin A

KomaMRI.jl: An Open-Source Framework for General MRI Simulations with GPU Acceleration

KomaMRI.jl：具有 GPU 加速功能的通用 MRI 模拟开源框架

• DOI: 10.48550/arxiv.2301.02702
• 发表时间: 2023
• 作者: Castillo-Passi C

Additional file 5 of 3D whole-heart isotropic sub-millimeter resolution coronary magnetic resonance angiography with non-rigid motion-compensated PROST

使用非刚性运动补偿 PROST 的 3D 全心各向同性亚毫米分辨率冠状动脉磁共振血管造影的附加文件 5

• DOI: 10.6084/m9.figshare.12143913
• 发表时间: 2020
• 作者: Bustin A

Imaging the Extracellular Matrix in Prevalent Cardiovascular Diseases

• DOI: 10.3390/app10114001
• 发表时间: 2020-06-01
• 期刊: APPLIED SCIENCES-BASEL
• 影响因子: 2.7
• 作者: Chaher, Nadia;Hajhosseiny, Reza;Botnar, Rene M.
• 通讯作者: Botnar, Rene M.