Full-stack automation for reliable and reproducible MRS of brain cancer

项目摘要/摘要 该项目建议开发自动、实时、单体素磁共振的方法 脑肿瘤的波谱(MRS)，将这些方法与临床MRI系统相结合，评估它们的 性能，并将它们作为开放源码工具提供给研究界。MRS可以提供 代谢信息无创性地用于肿瘤表型和治疗反应的评估。单人- 体素MRS方法提供了最好的质量和最可靠的数据，但要求扫描仪操作员具有 高技能水平和专业知识，以产生高质量的结果。需要这位专家参与这两项工作 获取和分析仍然是将MRS方法转化到临床研究现场的关键障碍 没有光谱学专家和临床实践。这个项目的第一部分是开发一种3D的方法 使用图像引导的体素放置，将该方法与临床磁共振系统相结合，并评估其 性能。在第二部分，我们将自动化我们的先进的MRS方法。在第三部分中，我们将创建 特定于获得的MRS数据的实时、自动量化工具，将提供临床上可解释的 结果。在最后的部分，我们将评估自动化方法在前瞻性活体研究中的表现。 该项目的成功完成将提高数据的稳健性和质量，不再需要 扫描时的专家交互，使MRS能够在多点临床试验和临床中采用 练习一下。

PROJECT SUMMARY/ABSTRACT This project proposes to develop methods for automated, real-time, single-voxel magnetic resonance spectroscopy (MRS) in brain tumors, integrate these methods with a clinical MRI system, evaluate their performance, and make them available as open-source tools to the research community. MRS can provide metabolic information noninvasively for assessment of tumor phenotype and therapeutic response. Single- voxel MRS methods provide the best quality and most reliable data, but require the scanner operator to have a high skill level and expertise to produce good quality results. The need for this expert involvement in both acquisition and analysis remains a critical barrier to the translation of MRS methods to clinical research sites without spectroscopy experts and to clinical practice. The first part of this project is to develop a method for 3D voxel placement using image guidance, integrate this method with a clinical MR system, and evaluate its performance. In the second part, we will automate our advanced MRS methods. In the third part, we will create real-time, automatic quantification tool specific to the obtained MRS data that will provide clinically interpretable results. In the final part, we will assess the performance of automated methods in prospective in vivo study. Successful completion of this project will improve data robustness and quality, eliminating the need for the expert interaction at the time of the scan and enabling adoption of MRS in multi-site clinical trials and clinical practice.