3D Cine Magnetic Resonance Fingerprinting for Rapid Phenotyping of Cardiomyopathy

3D 电影磁共振指纹图谱用于心肌病的快速表型分析

• 批准号: 10626789
• 负责人: JESSE Ian HAMILTON
• 金额: $ 66.51万
• 依托单位: CASE WESTERN RESERVE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10626789
• 关键词: 3-Dimensional; Acceleration; Adult; Agreement; Blood; Breathing; Cardiac; Cardiomyopathies; Caring; Cicatrix; Clinical; Collection; Complex; Cross-Sectional Studies; Darkness; Dependence; Detection; Development; Diagnosis; Diagnostic; Disease; EFRAC; Echocardiography; Electrocardiogram; Ensure; Evaluation; Evolution; Fibrosis; Fingerprint; Functional disorder; Gadolinium; Heart; Heart Diseases; Heart failure; Image; Image Enhancement; Imaging Techniques; Inflammation; Ischemia; Left; Logistic Regressions; Magnetic Resonance; Magnetic Resonance Imaging; Manuals; Maps; Measurement; Measures; Mechanics; Methods; Morphologic artifacts; Motion; Myocardial; Myocardial tissue; Outcome; Pathology; Patient Care; Patients; Phase; Phenotype; Physics; Property; Protocols documentation; Protons; Quantitative Evaluations; Reproducibility; Research; Resolution; Running; Scanning; Scientist; Services; Signal Transduction; Standardization; Structural defect; Structure; Techniques; Testing; Time; Tissues; Validation; Ventricular; Work; cardiac magnetic resonance imaging; cardiac muscle disease; clinical imaging; contrast imaging; deep learning; density; diagnostic accuracy; extracellular; heart dimension/size; heart function; imaging modality; improved; multidisciplinary; multiparametric imaging; novel; prospective; quantitative imaging; radiologist; reconstruction; recruit; respiratory; risk stratification; simulation; tool

PROJECT SUMMARY/ABSTRACT Cardiomyopathy (CM) encompasses a diverse group of diseases of the heart muscle that occur in 1 out of 500 adults and predispose to heart failure. Accurate determination of CM subtype (phenotyping) is essential to inform downstream tests, risk stratification, and targeted treatments. Cardiac MRI has emerged as the non-invasive standard for assessment of cardiac structure, function, and tissue properties in patients with suspected CM. However, cardiac MRI only comprises 1% of all MRI exams in the US, largely due to the need for (1) long and complex protocols where multiple images are collected with different contrast weightings, (2) unreliable and uncomfortable strategies to reduce motion, and (3) a lack of reproducibility of certain tissue property measurements. This multidisciplinary project between MRI scientists and cardiologists will validate 3D cine Magnetic Resonance Fingerprinting (MRF) as a comprehensive all-in-one imaging technique for CM detection and phenotyping. A streamlined and paradigm-changing cardiac MRI exam is proposed, consisting of a 5-minute free-breathing and ungated 3D cine MRF scan that will be collected before and after administration of gadolinium contrast. This technique will yield quantitative T1, T2, and spin density (M0) maps with 3D isotropic coverage over the left (LV) and right (RV) ventricles. Additionally, measured tissue properties and MRI simulations will be used to generate contrast-weighted cine and LGE images in an automated fashion, eliminating the need for multiple acquisitions and manual scan adjustments. A multicontrast LGE approach is also proposed where bright-blood, dark-blood, and novel “optimal-contrast” images will be generated to optimally highlight myocardial scar and fibrosis. The 3D cine MRF exam is expected to have advantages over routine clinical imaging and existing rapid imaging methods in terms of (1) improved accuracy/reproducibility of quantitative tissue properties, (2) shorter exam times, (3) reduced operator dependence, and (4) high diagnostic accuracy for specific CM phenotypes. Technical validation of 3D cine MRF in healthy subjects will be performed in Aim 1, including development of cardiac/respiratory self-gating methods tailored for MRF and development of a “physics-informed” deep learning reconstruction for artifact reduction and scan acceleration. Aim 2 will compare image quality and quantitative measurements from 3D cine MRF to standard MRI methods in patients with established CM. Additionally, quantitative thresholds for objective detection of specific CM phenotypes will be determined. In Aim 3, tissue properties and synthetic images derived from 3D cine MRF for will be tested in a prospective cross-sectional study to evaluate diagnostic accuracy for differentiating (1) ischemic vs nonischemic CM and (2) nonischemic CM phenotypes, using a standard cardiac MRI protocol as reference. The overall expected outcome of this work is an ultrafast all-in-one MRI exam for CM detection and phenotyping that will streamline cardiac MRI exams and assess cardiac structure, function, and tissue properties using reproducible quantitative imaging.

项目摘要/摘要 心肌病（CM）涵盖了500分之1的心肌疾病的多种疾病 成人和易感性的心力衰竭。 下游测试，风险分层和有针对性的宝藏。 评估可疑CM患者心脏结构，功能和组织特性的标准。 Howver，Cardiac MRIM MRIE仅占美国所有MRI考试的1％ 复杂的协议，其中收集了具有不同对比度权重的多个图像，（2）不可靠和 减少运动的不舒服策略 MRI科学家和心脏病学家之间的多学科项目 磁共振指纹（MRF）作为CM检测的全面的多合一成像技术 和表型。 免费呼吸和未固定的3D CINE MRF扫描，该扫描将在给药之前进行调查 对比。 左侧（LV）和右（RV）心室。 以自动化的方式产生对比加权的电影和LGE图像，以消除对多重的需求 采集和手动扫描调整。 将生成漆黑血和新颖的“最佳对比”图像，以最佳突出显示心肌疤痕和 纤维化。 成像方法（1）提高定量组织特性的准确性/再现，（2）较短 考试时间，（3）降低操作员的依赖性，（4）特定CM表型的高诊断精度。 AIM 1将对健康受试者进行3D Cine MRF的技术验证，包括 CardiACC/呼吸道自我门控方法为MRF量身定制和开发“物理信息”深度学习 减少伪影的重建和扫描加速度。 从3D CINE MRF到已建立CM的患者的标准MRI方法的测量。 将在AIM 3，组织中确定特定CM表型的定量阈值。 将在前瞻性横截面中测试来自3D Cine MRF的属性和合成图像 评估区分诊断准确性的研究（1）缺血性与非缺血性CM和（2）非缺血性 CM表型，使用标准心脏MRI方案作为参考。 是用于CM检测和表型的CM的超快多合一MRI检查，它将简化心脏MRIHAC MRI检查和 使用可重复的定量成像评估心脏结构，功能和组织特性。