Multiband ASL for Alzheimer's Disease

多频段 ASL 治疗阿尔茨海默病

• 批准号: 10120556
• 负责人: Danny JJ WANG
• 金额: $ 41.25万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-05 至 2023-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10120556
• 关键词: 3-Dimensional; Address; Affect; Age; Algorithms; Alzheimer' s Disease; Alzheimer' s disease patient; Alzheimer’s disease biomarker; Blood; Cerebrovascular Circulation; Characteristics; Childhood; Communities; Contrast Media; Data; Dementia; Disease; Disease Progression; Elderly; Goals; Head; Healthcare; Human; Imaging Device; Imaging Techniques; Label; Lesion; Magnetic Resonance Imaging; Magnetism; Measures; Methods; Monitor; Motion; Nerve Degeneration; Network-based; Neurodegenerative Disorders; Paper; Parents; Pattern; Perfusion; Perfusion Weighted MRI; Population; Principal Component Analysis; Protocols documentation; Public Health; Publishing; Radiation; Resistance; Resolution; Scanning; Signal Transduction; Slice; Spin Labels; Structure; Symptoms; Techniques; Technology; Time; Tracer; Variant; Water; age related; aging population; amnestic mild cognitive impairment; association cortex; base; cerebral hypoperfusion; cingulate cortex; cognitive control; convolutional neural network; deep learning; deep learning algorithm; denoising; denoising deep learning; frontal lobe; imaging biomarker; mild cognitive impairment; neurodevelopment; neuron loss; non-invasive imaging; pre-clinical; therapy development; tool; treatment effect

PROJECT SUMMARY/ABSTRACT Alzheimer’s disease (AD) is the most common cause of dementia with enormous healthcare burden. Identification of preclinical disease is critical for the development of therapy, as significant neuronal death has already occurred by the time of symptom onset. Arterial spin labeled (ASL) perfusion MRI is an appealing approach for measuring perfusion in dementia by utilizing magnetically labeled arterial blood water as an endogenous tracer. We and others have applied ASL to study AD and mild cognitive impairment (MCI). Characteristic patterns of cerebral hypoperfusion in temporoparietal association cortices, posterior cingulate cortex (PCC), precuneus and frontal cortex were detected using ASL in AD patients, and to a lesser extent, in MCI populations. However, there remain several challenges for making ASL an impactful tool in studying AD and other neurodegenerative disorders, including: 1) Existing ASL techniques generally have a coarse spatial resolution of ~4x4x4mm3, making it difficult to decompose structural and functional components of neurodegenerative effects due to partial volume effects; 2) The recommended implementation of pseudo- continuous ASL (pCASL) with segmented 3D acquisition is susceptible to (inter-segment) head motion that is frequently present in aged populations; and 3) The relatively long duration of segmented 3D acquisition generally allows a single post-labeling delay (PLD) scan, which is susceptible to age dependent variations in arterial transit time, affecting the accuracy of perfusion quantification. The goal of the parent R01 project (EB028297 “Multiband ASL for Neurodevelopment Study”) was to develop and evaluate cutting-edge multiband (MB) pCASL protocols that are able to offer a high spatial resolution of isotropic 2mm or higher, resistance to head motion and multi- delay capability for accurate perfusion quantification in pediatric populations. During this project, we will apply cutting edge high-resolution 2D and 3D MB pCASL techniques and deep-learning (DL) denoising algorithms in 3 groups of mild AD, amnestic MCI and age matched control subjects, and compare the results with those by standard pCASL methods. We hypothesize that the developed MB pCASL protocols and DL algorithms are more sensitive than standard pCASL techniques for detecting perfusion differences between mild AD, MCI and control subjects. The successful completion of this project will lead to robust high resolution multi-delay MB pCASL protocols with associated DL denoising algorithms which may serve as biomarkers for AD and MCI.

项目摘要/摘要 阿尔茨海默氏病（AD）是痴呆症和巨大医疗保健负担的最常见原因。 临床前疾病的鉴定对于治疗的发展至关重要，因为明显的神经元死亡已有 已经发生在符号发作时发生。标记（ASL）灌注MRI的动脉自旋是一种外观 通过利用磁性的动脉血水作为一种测量痴呆症灌注的方法 内源示踪剂。我们和其他人已将ASL应用于研究AD和轻度认知障碍（MCI）。 颞叶肠结构皮质中脑灌注灌注的特征模式，后扣带回 在AD患者中使用ASL检测到皮层（PCC），前骨和额叶皮质，并在较小程度上在较小程度上检测到 MCI人群。但是，使ASL成为研究广告的有影响力的工具仍然存在一些挑战 和其他神经退行性疾病，包括：1）现有的ASL技术通常具有粗空间 分辨率为〜4x4x4mm3，因此很难分解结构和功能组件 由于部分体积影响，神经退行性效应； 2）建议实施伪 具有分段3D采集的连续ASL（PCASL）容易受到（分段）的头部运动 经常出现在老年人口中； 3）分段3D采集的相对长持续时间 允许单个标签后延迟（PLD）扫描，该扫描容易受动脉传输的年龄依赖性变化 时间，影响灌注定量的准确性。父级R01项目的目标（EB028297“ MultiBand 神经发育研究的ASL”是为了开发和评估尖端的多播（MB）PCASL方案 能够提供高空间分辨率为2mm或更高的各向同性，对头部运动的抗药性和多种空间分辨率 延迟能力，用于小儿种群准确的灌注定量。在这个项目中，我们将申请 尖端高分辨率2D和3D MB PCASL技术和深入学习（DL）降级算法 3组轻度的AD，Amnestic MCI和年龄匹配的对照组，并将结果与​​结果进行比较 标准PCASL方法。我们假设开发的MB PCASL协议和DL算法更多 比标准PCASL技术敏感，用于检测轻度AD，MCI和对照之间的灌注差异 主题。该项目的成功完成将导致强大的高分辨率多延迟MB PCASL 具有相关DL deno算法的协议可以用作AD和MCI的生物标志物。