Rapid MRI acquisition for pediatric low-grade gliomas

儿童低级别胶质瘤的快速 MRI 采集

• 批准号: 9231451
• 负责人: Kawin Setsompop
• 金额: $ 65.15万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-04-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9231451
• 关键词: Acceleration; Anatomy; Anesthesia procedures; Blinded; Brain; Brain imaging; Childhood; Clinical; Clinical Protocols; Data; Diagnosis; Diagnostic; Diffuse; Glioma; Goals; Image; Imaging technology; Joints; Magnetic Resonance Imaging; Measures; Methods; Modernization; Monitor; Motion; Optics; Pathology; Patients; Performance; Perfusion; Permeability; Phase; Physiological; Physiology; Population; Protocols documentation; Resolution; Sampling; Scanning; Scheme; Series; Services; Slice; System; Techniques; Technology; Testing; Thick; Three-Dimensional Imaging; Time; Tissues; Vascularization; base; compliance behavior; contrast imaging; cost; cost effectiveness; data acquisition; design; image reconstruction; improved; novel; outcome forecast; pediatric patients; public health relevance; reconstruction; temporal measurement; time use; tumor; two-dimensional

 DESCRIPTION (provided by applicant): We will develop technology that improves MRI's acquisition efficiency by 20× to create a comprehensive 9- minute brain exam that provides more detailed structural and functional information than current 40-minute clinical exams. Such exam should improve MRI's diagnostic power while greatly increase patient throughput and compliance. We first apply this technology to pediatric low-grade gliomas (LGG), where frequent tumor monitoring and anesthesia services are required. Anesthesia is detrimental to the developing brain and results in a nine-fold increase in cost. We will couple our short exam with a commercially available optical real-time motion tracking system to robustly remove the need for anesthesia. The proposed methods allow acquisition of more detailed quantitative physiology that could potentially improve diagnosis and prognosis of LGG. The slow image encoding in MRI has been its critical limiting factor. To provide whole-brain imaging quickly, clinical protocos use two-dimensional (2D) slice-by-slice imaging with high in-plane resolution but 4-5× thicker slices with a 20-40% gap. The gaps can result in missed information, while thick slices limit the ability to perform multi-planar reformats, which necessitates re-imaging if viewing in a different image plane is desired. On the other hand, quantitative measures of perfusion and vascularization require high temporal resolution single-shot EPI. Here, the slow encoding in the phase encode direction results in detrimental image distortion, compromised resolution/coverage, and limited physiological information. Moreover, with a wide variety of tissue contrast mechanisms-each sensitive to different aspects of pathology-patients are imaged with 5-8 scans with overlapping information. The result is exams of up to 40 minutes with suboptimal resolution/information. To overcome these issues and achieve rapid, high-quality and detailed imaging, we will develop "Wave-CAIPI" technology, a data acquisition/reconstruction scheme designed to optimally exploit available information in modern multi-channel receivers and in multi-contrast/time-series data for improved image encoding, to achieve high-quality 20× acceleration. With Wave-CAIPI, we will also replace standard 2D imaging with far more SNR-efficient Simultaneous Multi-Slice (SMS) and 3D imaging to achieve rapid imaging with high SNR. Initially, to achieve 10-15× acceleration, we will develop Wave-CAIPI, which applies efficient data sub- sampling concepts fully to all three spatial directions of an imaging volume. To achieve 20× acceleration, Wave-CAIPI will be augmented with "CS-Wave-CAIPI", which extends efficient sub-sampling across contrasts and time-series data. Joint Bayesian and temporal Compressed Sensing reconstructions will be developed, and a highly efficient "HSS" solver will be created to facilitate near/real-time reconstruction. Finally, we wil test the hypothesis that Wave-CAIPI can reduce MRI exam time for pediatric low-grade gliomas from 40 min to 9 min and eliminate anesthesia while providing more comprehensive diagnostic information.

 描述（由适用提供）：我们将开发技术，将MRI的采集效率提高20倍，以创建一个全面的9分钟大脑检查，该检查提供了比当前40分钟的临床检查更详细的结构和功能信息。这种检查应提高MRI的诊断能力，同时大大提高患者吞吐量和依从性。我们首先将这项技术应用于小儿低级神经胶质瘤（LGG），经常需要肿瘤监测和麻醉服务。麻醉对发展的大脑有害，并导致成本增加了九倍。我们将简短的考试与商业可用的光学实时运动跟踪系统融为一体，以稳健地消除对麻醉的需求。提出的方法允许获取更详细的定量生理学，这些生理可能有可能改善LGG的诊断和预后。在MRI中编码的缓慢图像一直是其关键限制因素。为了迅速提供全脑成像，临床方案使用二维（2D）切片成像，具有高平面分辨率，但厚度为4-5倍，厚度为20-40％。这些间隙可能导致丢失的信息，而厚的切片限制了执行多平面重构的能力，如果需要在其他图像平面中观看，则需要重新成像。另一方面，灌注和血管形成的定量测量需要高临时分辨率单光EPI。在这里，在相位编码方向的缓慢编码导致有害的图像失真，分辨率/覆盖范围和有限的物理信息。此外，具有多种组织对比机制 - 对病理患者的不同方面敏感，通过5-8扫描和重叠的信息进行成像。结果是最多40分钟的考试，具有次优的分辨率/信息。为了克服这些问题并实现快速，高质量和详细的成像，我们将开发“ Wave-Caipi”技术，这是一种数据采集/重建方案，旨在在现代多渠道接收器中最佳利用可用信息，以及在多控制/时间序列的数据中，用于改进的图像编码，以实现高品质20×Acceleration。使用Wave-Caipi，我们还将用更高的SNR同时发生（SMS）和3D成像替换标准2D成像，以使用高SNR实现快速成像。最初，为了达到10-15×加速度，我们将开发波动局，它将有效的数据子采样概念完全应用于所有三个空间方向 成像量。为了达到20×加速度，波柏将通过“ CS-Wave-Caipi”增强，该“ CS-Wave-Caipi”将在对比度和时间序列数据上扩展有效的子采样。将开发联合贝叶斯和临时压缩感应重建，并将创建一个高效的“ HSS”求解器，以促进近/实时重建。最后，我们将检验以下假设：波卡皮人可以将小儿低级神经胶质瘤的MRI检查时间从40分钟减少到9分钟，并消除麻醉，同时提供更全面的诊断信息。