Rapid MRI acquisition for pediatric low-grade gliomas

 描述(由申请者提供)：我们将开发将MRI的获取效率提高20倍的技术，以创建一种全面的9分钟大脑检查，提供比目前40分钟临床检查更详细的结构和功能信息。这样的检查应该会提高MRI的诊断能力，同时极大地增加患者的吞吐量和依从性。我们首先将这项技术应用于需要频繁肿瘤监测和麻醉服务的儿童低级别胶质瘤(LGG)。麻醉对发育中的大脑有害，并导致成本增加九倍。我们将把我们的简短检查与商业上可用的光学实时运动跟踪系统结合起来，以有力地消除对麻醉的需求。所提出的方法可以获得更详细的定量生理学信息，这可能会改善LGG的诊断和预后。磁共振成像中图像编码速度慢一直是其关键的限制因素。为了快速提供全脑成像，临床方案使用具有高平面内分辨率的二维(2D)逐层成像，但层厚4-5倍，间隙20%-40%。间隙可能会导致遗漏信息，而厚切片限制了执行多平面重新格式化的能力，如果需要在不同的图像平面查看，则需要重新成像。另一方面，血流灌注和血管形成的定量测量需要高时间分辨率的单次激发成像。这里，在相位编码方向上的缓慢编码导致有害的图像失真、折衷的分辨率/覆盖以及有限的生理信息。此外，由于有各种各样的组织对比机制-每种机制对病理的不同方面都很敏感-患者可以通过5-8次具有重叠信息的扫描进行成像。结果是长达40分钟的检查，分辨率/信息不佳。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，旨在最佳地利用现代多通道接收器和多对比度/时间序列数据中的可用信息，以改进图像编码，以实现高质量的20倍加速。有了Wave-CAIPI，我们还将用信噪比更高的同时多切片(SMS)和3D成像取代标准的2D成像，以实现高信噪比的快速成像。首先，为了实现10-15倍的加速，我们将开发Wave-CAIPI，它将有效的数据分采样概念充分应用于所有三个空间方向 一种成像体积。为了实现20倍的加速，Wave-CAPI将被扩展为“CS-Wave-CAIPI”，它在对比度和时间序列数据之间扩展了有效的子采样。将开发联合贝叶斯和时间压缩传感重建，并将创建一个高效的“HSS”解算器，以促进近/实时重建。最后，我们将验证这一假设，即Wave-CAIPI可以将儿童低级别胶质瘤的MRI检查时间从40分钟缩短到9分钟，并在提供更全面的诊断信息的同时消除麻醉。

 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.