Analyses of gradient echo MRI data

梯度回波 MRI 数据分析

基本信息

批准号：
8251134
负责人：
Yi Wang
金额：
$ 38.56万
依托单位：
WEILL MEDICAL COLL OF CORNELL UNIV
依托单位国家：
美国
项目类别：
财政年份：
2011
资助国家：
美国
起止时间：
2011-04-15 至 2015-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8251134
关键词：
Acute Algorithms Blood Calibration Cerebral hemisphere hemorrhage Data Data Analyses Development Diagnosis Diffusion Magnetic Resonance Imaging Disease Drug Formulations Equation Ferritin Foundations Functional Magnetic Resonance Imaging Growth Hematoma Hemorrhage Hemosiderin Image Imagery In Vitro Iron Link Magnetic Resonance Imaging Maps Measurement Measures Methemoglobin Methods Morbidity - disease rate Morphologic artifacts Morphology Neurodegenerative Disorders Patients Phase Predisposition Property Research Severities Signal Transduction Solutions Source Structure Testing Tissue Extracts Tissues Traumatic Brain Injury Validation Vascular Diseases Weight acute stroke base blood product clinical practice deoxyhemoglobin in vivo magnetic field method development mortality novel object shape public health relevance simulation

项目摘要

DESCRIPTION (provided by applicant): The objective of this research is to develop novel analyses of the gradient echo (GRE) MRI data for quantitative characterization of intrinsic tissue property. Gradient echo MRI has been routinely used in clinical practice. A major aspect of its image contrast is based on its unique signal sensitivity to tissue susceptibility, which is particularly useful for studying blood deoxyhemoglobin (foundation of fMRI) and blood breakdown products, methemoglobin, hemosiderin and ferritin (various bleeding disorders including traumatic brain injury, hemorrhage and microbleed, vascular disorders, neurodegenerative diseases, et al) that have strong susceptibilities. For example, GRE MRI is becoming a method replacing CT for measuring acute intracerebral hemorrhage (ICH). However, GRE MRI is well known to have blooming susceptibility artifacts that make it difficult to identify the true boundary of hematoma and overestimate hematoma volume, a critical parameter in managing ICH patients. We hypothesize that rigorous analysis of GRE MRI data can allow accurate mapping of susceptibility source, enabling robust identification of hematoma volume. Mapping tissue susceptibility requires solving the field-to-source inverse problem, which is ill-posed using the phase data alone. We propose to develop a novel morphology enabled dipole inversion (MEDI) approach for analyzing both phase and magnitude data gradient echo MRI to extract tissue susceptibility quantity. The phase image contains the magnetic field information for fitting susceptibility via Maxwell's Equation. The magnitude image contains tissue structure information for matching with susceptibility interfaces via least discordance. We have proved mathematically that these phase and magnitude information are sufficient to determine susceptibility. We have obtained very encouraging preliminary data indicating that our MEDI inverse approach is sufficiently accurate in solving the field to source inverse problem. Accordingly, our proposed research consists of the following specific aims. 1) Develop the MEDI approach for analyzing phase and magnitude data in gradient echo MRI. 2) Apply MEDI to analyze gradient echo MRI of patients with primary ICH for measuring hematoma by comparing with CT. PUBLIC HEALTH RELEVANCE: This proposed research will develop novel analyses of gradient echo MRI data for characterizing tissue intrinsic susceptibility property. Successful development of this susceptibility mapping will allow accurate identification of hemorrhage border, solving a major problem of hematoma volume measurement in gradient echo MRI of intracerebral hemorrhage.

描述（由申请人提供）：这项研究的目的是开发对梯度回声（GRE）MRI数据的新分析，以进行内在组织特性的定量表征。梯度回声MRI经常用于临床实践。其图像对比的一个主要方面是基于其对组织易感性的独特信号敏感性，这对于研究血液脱氧血红蛋白（fMRI的基础）和血液崩溃产物，非血红蛋白，血压和铁蛋白（包括各种出血疾病）（包括各种出血性疾病，包括大脑脑损伤，流血性疾病，流血性疾病，疾病，疾病，是疾病，疾病，疾病，疾病，疾病，疾病特别有用具有强烈的敏感性。例如，GRE MRI正在成为一种方法，用于替代CT测量急性脑内出血（ICH）。然而，众所周知，GRE MRI具有盛开的敏感性伪像，这使得难以识别血肿的真实边界和高估血肿的量，这是管理ICH患者的关键参数。我们假设对GRE MRI数据的严格分析可以准确地映射易感性来源，从而可以稳健地鉴定血肿的量。映射组织易感性需要解决野外的逆问题，该问题仅使用相位数据进行了验证。我们建议开发一种具有新型形态的偶极反转（MEDI）方法，用于分析相位和幅度数据梯度回声MRI以提取组织敏感性数量。相位图像包含磁场信息，以通过Maxwell的方程拟合敏感性。幅度图像包含组织结构信息，以通过最小不相差与易感性接口匹配。我们已经数学上证明了这些阶段和幅度信息足以确定敏感性。我们已经获得了非常令人鼓舞的初步数据，表明我们的Medi反向方法在解决磁场以解决逆问题方面足够准确。因此，我们提出的研究包括以下特定目标。 1）开发用于分析梯度回波MRI中阶段和幅度数据的Medi方法。 2）使用Medi分析主要ICH患者的梯度回波MRI，以通过与CT进行比较来测量血肿。公共卫生相关性：这项拟议的研究将开发对梯度回声MRI数据的新分析，以表征组织内在易感性。该敏感性映射的成功发展将允许准确鉴定出血边界，从而解决了脑出血的梯度回声MRI中血肿量测量的主要问题。