Development of flow and vascular quantification software for the assessment of MR

开发用于评估 MR 的流量和血管量化软件

• 批准号: 8601361
• 负责人: Ewart Mark Haacke
• 金额: $ 50万
• 依托单位: MAGNETIC RESONANCE INNOVATIONS, INC.
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-15 至 2015-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8601361
• 关键词: Address; Algorithms; Anatomy; Angiography; Anisotropy; Area; Arteries; Attenuated; Basal Ganglia; Behavior; Blood Vessels; Brain; Characteristics; Chronic; Clinical; Computer software; Data; Dementia; Deposition; Detection; Development; Diagnosis; Disease; Evaluation; Factor Analysis; Fatty acid glycerol esters; Goals; Growth; Image; Image Analysis; Iron; Label; Lead; Lesion; Liquid substance; Location; Magnetic Resonance; Magnetic Resonance Imaging; Manuals; Maps; Measures; Minor; Modeling; Morphologic artifacts; Multiple Sclerosis; Muscle; Neck; Neurodegenerative Disorders; Optics; Patients; Phase; Predisposition; Process; Protocols documentation; Publishing; Radiation; Recovery; Reporting; Shapes; Signal Transduction; Site; Stroke; Structure; System; Techniques; Thalamic Nuclei; Thalamic structure; Thyroid Gland; Time; Tissues; Training; Traumatic Brain Injury; Veins; Venous Insufficiency; Weight; Work; computerized data processing; design; driving force; hemodynamics; image processing; improved; innovation; interest; novel; programs; software development; tool; white matter

DESCRIPTION (provided by applicant): There has been a huge increase in demand for comprehensive quantitative analysis of neurovascular imaging data produced in the clinical setting for diseases such as multiple sclerosis, traumatic brain injury, stroke and dementia. Our objective in this project is to design and develop advanced image processing software that can rapidly and accurately analyze such data. To achieve this objective, we propose a range of novel algorithms to process data from the following MR imaging sequences widely used in the aforementioned applications: time resolved 3D contrast enhanced MR angiography (CE-MRA) for the assessment of vascular anatomy, time resolved 2D phase contrast flow imaging (PC-MRI) for the evaluation of vascular hemodynamics, susceptibility weighted imaging (SWI) for quantifying iron deposition in the brain, and fluid attenuated inversion recovery (FLAIR) imaging for the detection of white matter hyperintensities (WMH) and lesions. A variety of tools will be designed and implemented to tackle these problems including: tissue similarity mapping and active shape models to segment the vasculature in both CE-MRA and PC-MRI images; automatic tissue segmentation in the basal ganglia and thalamus for a two-region of interest analysis for iron quantification with SWI; and finally adaptive approaches incorporating fuzzy C-means, shape factor analysis, compactness and fractional anisotropy to quantify lesions and WMHs. To exploit the advantages provided by different imaging sequences, co-registration algorithms will be used to improve segmentation of vessels between CE-MRA and PC-MRI, and between 3D T1 weighted imaging and SWI. Upon finishing this project, we expect a multi-fold increase in processing efficiency and a significant increase in accuracy will be achieved. The resulting software will not only help the growth of our company, but also improve the diagnosis and treatment of neurovascular diseases.

描述（由申请人提供）：对多发性硬化、创伤性脑损伤、中风和痴呆等疾病的临床环境中产生的神经血管成像数据进行全面定量分析的需求大幅增加。我们在这个项目中的目标是设计和开发先进的图像处理软件，可以快速，准确地分析这些数据。为了实现这一目标，我们提出了一系列新颖的算法来处理来自在上述应用中广泛使用的以下MR成像序列的数据：时间分辨3D对比增强MR血管造影术（CE-MRA）用于评估血管解剖结构，时间分辨2D相位对比血流成像（PC-MRI）用于评价血管血流动力学，磁敏感加权成像（SWI）用于定量脑内铁沉积，液体衰减反转恢复（FLAIR）成像用于检测白色高信号（WMH）和病变。将设计和实施各种工具来解决这些问题，包括：组织相似性映射和主动形状模型，以分割CE-MRA和PC-MRI图像中的血管系统;基底节和丘脑中的自动组织分割，用于SWI铁定量的两个感兴趣区域分析;最后，自适应方法结合模糊C均值，形状因子分析，紧凑性和分数各向异性量化病变和WMH。为了利用不同成像序列提供的优势，将使用共配准算法来改善CE-MRA和PC-MRI之间以及3D T1加权成像和SWI之间的血管分割。在完成这个项目后，我们预计将实现处理效率的成倍提高和准确性的显着提高。由此产生的软件不仅有助于我们公司的发展，还将改善神经血管疾病的诊断和治疗。