Quantitative ASL MR angiography and perfusion imaging for cerebral revascularization

用于脑血运重建的定量 ASL MR 血管造影和灌注成像

• 批准号: 10208990
• 负责人: Lirong Yan
• 金额: $ 40.84万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-15 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10208990
• 关键词: Algorithms; Anastomosis - action; Aneurysm; Angiography; Arteries; Blood Vessels; Blood flow; Cause of Death; Cerebral Revascularization; Cerebrovascular Disorders; Chronic; Clinical; Complex; Consensus; Contrast Media; Development; Digital Subtraction Angiography; Disease; Economic Burden; Evaluation; Four-dimensional; Goals; Gold; Image; Imaging Device; Individual; Ischemic Stroke; Knowledge; Label; Magnetic Resonance Imaging; Maps; Measures; Methods; Moyamoya Disease; Operative Surgical Procedures; Outcome; Patient Care; Patients; Pattern; Performance; Perfusion; Perioperative; Phase; Physiologic pulse; Postoperative Complications; Postoperative Period; Quantitative Evaluations; Radial; Resolution; Resources; Risk; Scanning; Spin Labels; Standardization; Techniques; Territoriality; Time; Tissues; base; cerebral hemodynamics; clinical imaging; clinical practice; design; disability; feeding; flexibility; hemodynamics; imaging modality; improved; novel; perfusion imaging; predict clinical outcome; preservation; prevent; quantitative imaging; reconstruction; revascularization surgery; spatiotemporal; stroke risk

PROJECT SUMMARY/ABSTRACT Cerebrovascular disease is one of the leading causes of death and disability worldwide. Cerebral revascularization, especially surgical revascularization, has evolved as an effective surgical therapy for the management of chronic cerebrovascular diseases such as moyamoya disease, complex aneurysms, and selected carotid steno-occlusive disease to improve the cerebral hemodynamics and reduce the risk of stroke. Nonetheless, optimal surgical planning is still unclear as a variety of revascularization techniques can be considered. To date, the choice of revascularization strategy is primarily based on the subjective interpretation of flow demands in the at-risk territory. This results in a variable, subjective clinical practice that places patients at risk for hemodynamics-related postoperative complications, significantly impacting the clinical outcomes. A segmented and quantitative characterization of cerebral hemodynamics pre- and post-revascularization is necessary to objectify flow requirements, standardize and improve patient care. However, none of the existing clinical imaging modalities are able to provide high spatiotemporal resolution angiographic images with quantitative hemodynamic information from individual arterial segments without contrast agents. Arterial spin labeling (ASL) possesses appealing features that allow for the assessment of both perfusion and angiography quantitatively. Building upon our successful track record on the development of ASL 4D MRA as well as ASL perfusion imaging, the goal of the present project is to develop and evaluate an easily-carry-out noninvasive ASL suite consisting of advanced 4D MRA and perfusion territorial mapping to quantitively assess cerebral hemodynamics from individual arteries and downstream tissue pre and post-cerebral revascularization. In Aim 1, we will develop and optimize a novel rapid high spatiotemporal resolution 4D MRA technique (<5minutes). In Aim2, we will develop and validate post-processing algorithms for cerebral hemodynamic quantification and vascular territories with 4D MRA and random vessel-encoded ASL. By leveraging the rich clinical resource from the USC Revascularization Center, in Aim 3, we will quantitively evaluate perioperative hemodynamics on patients who undergo cerebral revascularization and study the association of revascularization-related hemodynamic change with clinical outcomes. The successful completion of this project will lead to a robust, noninvasive, flexible, and quantitative ASL MRI suite within 10 min scan time that is ready to be incorporated into clinical MRI settings. The proposed technique can be highly valuable as a potential imaging tool for the quantitative evaluation of flow demands in cerebral revascularization.

项目总结/文摘