3D segmentation and registration of macular SD-OCT for application in MS

黄斑 SD-OCT 的 3D 分割和配准在 MS 中的应用

• 批准号: 8765283
• 负责人: Jerry L Prince
• 金额: $ 38.73万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8765283
• 关键词: Affect; Algorithms; Appearance; Atlases; Atrophic; Axon; Biological Markers; Brain Diseases; Brain Stem; Central Nervous System Diseases; Cerebrum; Cervical spine; Clinical; Commercial Sectors; Communities; Computer software; Computers; Cross-Sectional Studies; Data; Demyelinations; Development; Disease; Disease Progression; Early Diagnosis; Edema; Equilibrium; Esthesia; Eye; Eye diseases; Financial compensation; Foundations; Functional disorder; Ganglion Cell Layer; Grant; Image; Image Analysis; Individual; Inner Nuclear Layer; Java; Language; Lesion; Longitudinal Studies; Measurement; Methods; Monitor; Multiple Sclerosis; Muscle; Nerve Degeneration; Neurodegenerative Disorders; Neurons; Onset of illness; Optic Nerve; Optical Coherence Tomography; Pathology; Patients; Pattern; Pilot Projects; Population; Process; Relative (related person); Research; Resolution; Retina; Retinal; Scanning; Science; Severity of illness; Solutions; Spatial Distribution; Specific qualifier value; Staging; Structure; Symptoms; Techniques; Technology; Testing; Thick; Three-Dimensional Imaging; Time; Treatment Efficacy; Vision; Vision Disorders; Visit; Visual Acuity; White Matter Disease; Writing; cerebral atrophy; clinical application; disability; disease phenotype; experience; follow-up; ganglion cell; image processing; improved; in vivo; instrument; interest; longitudinal analysis; macula; macular edema; neuroimaging; novel; open source; prevent; programs; public health relevance; retinal axon; retinal nerve fiber layer; theories; white matter

DESCRIPTION (provided by applicant): Vision is compromised in at least 55% of multiple sclerosis (MS) patients and may represent the very first manifestation of disease onset. Spectral domain optical coherence tomography (SD-OCT) enables in-vivo, high-resolution studies of the retina, and is increasingly being used as a biomarker in neurodegenerative diseases. SD-OCT has provided phenotypical measurements of the retinal nerve fiber layer, ganglion cell layer, and overall retinal thinning, indicating both axonal and neuronal retinal pathology in MS. There is tantalizing evidence that deeper retinal layers are also affected in MS, which is of particular interest since these neurons are never myelinated. Thus, SD-OCT measurements have proven useful in the development of new scientific theories about the pathophysiology of MS. These measurements are also potentially useful in early detection of disease, staging disease severity, assessing disease progression, and determining therapeutic efficacy for individual MS patients. Although advanced automated algorithms for segmentation and measurement of key retinal features are emerging in both research labs and commercial instruments, there remain several key technical limitations to full exploitation of this three-dimensional imaging technique. First, retinal segmentation methods do not presently provide subvoxel precision nor are they robust to the presence of macular edema. Second, although three-dimensional comparisons of retinas are routine in standard ophthalmologic exams, the macular registration methods that are used do not separate the rigid and deformable components for detailed population comparisons in a normalized space. Third, retinal thicknesses are generally computed extrinsically along straight lines without compensation for relative pose. Together, these deficiencies hamper 3D longitudinal and cross-sectional scientific studies and limit monitoring disease progression in specific subjects. The proposed research will: 1) Develop a subvoxel retinal layer segmentation method for the macula that is robust to edema; 2) Develop both rigid and deformable registration methods that will permit analysis of SD-OCT volumes in a normalized space; 3) Develop intrinsic retinal thickness measurement techniques and an average macular atlas space; and 4) Carry out both cross-sectional and longitudinal studies of normal subjects and MS patients in a normalized space to test the hypotheses that i) deeper retinal layers are involved in MS and ii) longitudinal atrophy is observed in deeper retinal layers in MS. We will also explore whether regional macular edema precedes thinning in the inner nuclear layer in MS subjects. These studies will also include function/structure regression using the full macular volume, longitudinally assessed, against visual acuity functional scores. Image processing and regression algorithms will be developed within the open-source Java Image Science Toolkit (JIST) framework and released as open source software.

描述(申请人提供)：至少55%的多发性硬化症(MS)患者视力受损，可能是疾病发病的第一个表现。光谱域光学相干断层成像(SD-OCT)能够对视网膜进行体内、高分辨率的研究，并越来越多地被用作神经退行性疾病的生物标志物。SD-OCT提供了视网膜神经纤维层、神经节细胞层和整个视网膜变薄的表型测量，表明MS的视网膜轴突和神经元性病理。有诱人的证据表明，MS的视网膜深层也受到影响，这一点特别令人感兴趣，因为这些神经元永远不会有髓鞘。因此，SD-OCT测量已被证明在发展关于MS的病理生理学的新的科学理论方面是有用的。这些测量还可能有助于早期发现疾病、对疾病严重程度进行分期、评估疾病进展以及确定个体MS患者的治疗效果。尽管在研究实验室和商业仪器中都出现了用于分割和测量关键视网膜特征的先进的自动化算法，但充分利用这种三维成像技术仍然存在几个关键的技术限制。首先，视网膜分割方法目前不能提供亚象素精度，也不能很好地抵抗黄斑水肿的存在。其次，虽然视网膜的三维比较在标准眼科检查中是常规的，但所使用的黄斑配准方法并没有在归一化空间中分离刚性和可变形成分来进行详细的人群比较。第三，视网膜厚度通常是沿直线外计算的，不考虑相对姿势。总而言之，这些缺陷阻碍了3D纵向和横断面科学研究，并限制了对特定受试者疾病进展的监测。拟议的研究将：1)开发一种针对黄斑的抗水肿性的亚像素视网膜层分割方法；2)开发刚性和可变形配准方法，从而能够在归一化空间中分析SD-OCT体积；3)开发固有的视网膜厚度测量技术和平均黄斑图谱空间；以及4)在归一化空间中对正常受试者和多发性硬化症患者进行横断面和纵向研究，以检验以下假设：i)较深的视网膜层涉及 MS和ii)MS患者视网膜深层可见纵向萎缩。我们还将探讨MS受试者黄斑局部水肿是否先于内核层变薄。这些研究还将包括使用纵向评估的全黄斑体积与视力功能评分进行功能/结构回归。图像处理和回归算法将在开源Java图像科学工具包(JIST)框架内开发，并作为开源软件发布。