Brain Image Analysis Tools for Quantitative Longitudinal Assessment of MS

用于 MS 定量纵向评估的脑图像分析工具

• 批准号: 8698472
• 负责人: Dzung L Pham
• 金额: $ 33万
• 依托单位: HENRY M. JACKSON FDN FOR THE ADV MIL/MED
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8698472
• 关键词: Address; Affect; Algorithms; Anatomic Models; Anatomy; Atrophic; Biometry; Blindness; Brain; Brain imaging; Central Nervous System Diseases; Clinical; Clinical Trials; Communities; Computer software; Data; Data Set; Development; Diagnosis; Diffusion; Diffusion Magnetic Resonance Imaging; Disease; Disease Progression; Dizziness; Early Diagnosis; Engineering; Explosion; Fatigue; Frequencies; Functional disorder; Geometry; Human; Image; Image Analysis; Impaired cognition; Individual; Inflammation; Lead; Lesion; Limb structure; Location; Longitudinal Studies; Magnetic Resonance; Magnetic Resonance Imaging; Measurement; Measures; Medical Imaging; Methods; Monitor; Multiple Sclerosis; Multiple Sclerosis Lesions; Neurologist; Neurology; Neurosciences; Onset of illness; Outcome; Pathology; Patients; Performance; Pharmacotherapy; Physicians; Physiologic pulse; Population; Research; Research Personnel; Scanning; Scientist; Sensitivity and Specificity; Series; Simulate; Software Engineering; Software Tools; Source Code; Specificity; Structure; Symptoms; System; Technology; Time; United States; Validation; base; brain tissue; brain volume; cerebral atrophy; design; disability; experience; gray matter; improved; in vivo; longitudinal analysis; longitudinal design; nervous system disorder; novel; open source; patient population; reconstruction; tool; white matter

DESCRIPTION (provided by applicant): Multiple Sclerosis (MS) is a disease of the central nervous system characterized by inflammation and neuroaxonal degeneration in both grey and white matter structures. MS affects over 2.5 million people worldwide and over 250,000 people in the United States. Those afflicted may experience a wide range of debilitating symptoms including cognitive impairments, partial or complete vision loss, weakness in limbs, dizziness, and fatigue. These symptoms often occur sporadically at the onset of the disease but can worsen over time with respect to both frequency and intensity. In vivo MR acquisitions have shown that whole brain and cortical atrophy, an increased presence of white matter lesions, and a reduction in white matter connectivity occur in MS patients. Quantitative characterization of these brain changes, however, remains a challenge because of the lack of accurate and reliable image analysis tools that effectively model the anatomical changes that occur in MS. To address these issues, we propose to develop, validate, and apply software tools for the longitudinal analysis of MR brain images acquired from MS patients. We will leverage the experience of our research team in whole brain and lesion segmentation, reconstruction of the cerbral cortex, segmentation of white matter tracts, and software engineering to create a suite of tools that will benefit both MS researchers, clinicians, and ultimately the MS patient population. Over the duration of this R01 project, we will accomplish the following specific aims: 1) develop image analysis tools specifically designed for the quantitative longitudinal analysis of brain images with MS; 2) provide tools and data for validating single time point and longitudinal MS image analysis algorithms; 3) apply the developed tools to an ongoing MS longitudinal study that will reveal associations between brain volumes, lesion volume and location, cortical atrophy, and clinical outcomes on both a cross-sectional and longitudinal scale. The proposed tools will fill critical gaps in MS brain image analysis technology by allowing accurate and stable measurements of lesion volume, brain tissue volumes, cortical geometry, and white matter connectivity. This project will significantly impact the neurology, neuroscience, and image analysis communities. The released tools will enable a better understanding of the anatomical changes that occur during the progression of MS, potentially leading to early detection of functionally specific systems of disability. Furthermore, not only will clinical trials for MS drug therapies be greatly facilitated, but the developed tools may also be used to identify subsets of patients suitable for specific drug therapies. The released data and validation tools will also allow for a comparison of existing and newly developed methods, not only in MS patients, but also in healthy populations.

描述（由申请人提供）：多发性硬化症（MS）是一种中枢神经系统的疾病，其特征是灰色和白质结构中的炎症和神经乳突变性。 在美国，MS影响全球超过250万人，超过250,000人。 受苦的人可能会出现多种使人衰弱的症状，包括认知障碍，部分或完全视力丧失，四肢无力，头晕和疲劳。 这些症状通常是在疾病发作时偶尔出现的，但随着时间的流逝，频率和强度都可能恶化。 体内MR采集表明，MS患者的整个大脑和皮质萎缩，白质病变的存在增加以及白质连通性的降低。 但是，由于缺乏准确可靠的图像分析工具，这些工具有效地模拟了MS中发生的解剖变化，因此这些大脑变化的定量表征仍然是一个挑战。 为了解决这些问题，我们建议开发，验证和应用软件工具，以对从MS患者获得的MR脑图像进行纵向分析。 我们将利用整个大脑研究团队的经验和病变细分，重建CERBRAL皮层，白质区域的细分以及软件工程来创建一套工具，这些工具将使MS研究人员，临床医生以及MS最终受益。患者人数。 在此R01项目的持续时间内，我们将完成以下特定目的：1）开发专门为使用MS的大脑图像定量纵向分析而设计的图像分析工具； 2）提供用于验证单个时间点和纵向MS图像分析算法的工具和数据； 3）将开发的工具应用于正在进行的MS纵向研究中，该研究将揭示脑量，病变体积和位置，皮质萎缩和临床结果之间的关联。 所提出的工具将通过允许对病变体积，脑组织体积，皮质几何形状和白质连接的精确测量来填补MS脑图像分析技术中的关键空白。 该项目将极大地影响神经学，神经科学和图像分析社区。 释放的工具将更好地了解MS进展过程中发生的解剖变化，这可能会导致早期发现功能特定的残疾系统。 此外，不仅可以极大地促进MS药物疗法的临床试验，而且还可以使用开发的工具来识别适合特定药物疗法的患者子集。 已发布的数据和验证工具还将允许比较现有和新开发的方法，不仅在MS患者中，而且在健康人群中。

项目成果

MR image synthesis by contrast learning on neighborhood ensembles.

• DOI: 10.1016/j.media.2015.05.002
• 发表时间: 2015-08
• 期刊: Medical image analysis
• 影响因子: 10.9
• 作者: Jog A;Carass A;Roy S;Pham DL;Prince JL
• 通讯作者: Prince JL

Pain, cognition and quality of life associate with structural measures of brain volume loss in multiple sclerosis.

疼痛、认知和生活质量与多发性硬化症脑容量损失的结构测量相关。

• DOI: 10.3233/nre-161384
• 发表时间: 2016
• 期刊: NeuroRehabilitation
• 影响因子: 2
• 作者: Fritz,NoraE;Roy,Snehashis;Keller,Jennifer;Prince,Jerry;Calabresi,PeterA;Zackowski,KathleenM
• 通讯作者: Zackowski,KathleenM

LONGITUDINAL INTENSITY NORMALIZATION IN THE PRESENCE OF MULTIPLE SCLEROSIS LESIONS.

• DOI: 10.1109/isbi.2013.6556791
• 发表时间: 2013
• 期刊: Proceedings. IEEE International Symposium on Biomedical Imaging
• 作者: Roy S;Carass A;Shiee N;Pham DL;Calabresi P;Reich D;Prince JL
• 通讯作者: Prince JL

Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.

• DOI: 10.1016/j.neuroimage.2013.07.060
• 发表时间: 2013-12
• 期刊: NeuroImage
• 影响因子: 5.7
• 作者: Chen M;Carass A;Oh J;Nair G;Pham DL;Reich DS;Prince JL
• 通讯作者: Prince JL

Voxel-Wise Displacement as Independent Features in Classification of Multiple Sclerosis.

体素位移作为多发性硬化症分类中的独立特征。

• DOI: 10.1117/12.2007150
• 发表时间: 2013
• 期刊: Proceedings of SPIE--the International Society for Optical Engineering
• 作者: Chen,Min;Carass,Aaron;Reich,DanielS;Calabresi,PeterA;Pham,Dzung;Prince,JerryL
• 通讯作者: Prince,JerryL