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: 9301542
• 负责人: Jerry L Prince
• 金额: $ 39.66万
• 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 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9301542
• 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; Dimensions; Disease; Disease Progression; Early Diagnosis; Edema; Equilibrium; Esthesia; Eye; Eye diseases; Financial compensation; Foundations; Functional disorder; Ganglion Cell Layer; Grant; Image; Image Analysis; Imaging Techniques; Individual; Inner Nuclear Layer; Java; Language; Lesion; Longitudinal Studies; Measurement; Methods; Monitor; Multiple Sclerosis; Muscular Atrophy; Nerve Degeneration; Neurodegenerative Disorders; Neurons; Onset of illness; Ophthalmology; Optic Nerve; Optical Coherence Tomography; Pathology; Pattern; Phenotype; Pilot Projects; Population; Process; Research; Resolution; Retina; Retinal; Scanning; Science; Severity of illness; Spatial Distribution; Specific qualifier value; Staging; Structure; Symptoms; Techniques; Technology; Testing; Thick; Thinness; Three-Dimensional Imaging; Treatment Efficacy; Vision; Vision Disorders; Visit; Visual Acuity; White Matter Disease; cerebral atrophy; clinical application; disability; disease phenotype; experience; follow-up; ganglion cell; high resolution imaging; image processing; improved; in vivo; instrument; interest; longitudinal analysis; macula; macular edema; multiple sclerosis patient; neuroimaging; novel; open source; portability; prevent; programs; public health relevance; rate of change; 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（由申请人提供）：在至少55％的多发性硬化症患者（MS）患者中，视力受到损害，并且可能代表了疾病发作的首次表现。光谱结构域光学相干断层扫描（SD-OCT）可以对视网膜进行高分辨率研究，并越来越多地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，神经节细胞层和整体视网膜稀疏的表型测量，表明MS中的轴突和神经元视网膜病理学既有。有诱人的证据表明，更深层次的视网膜层也受到了MS的影响，这特别是感兴趣的，因为这些神经元从未被骨髓呈现。因此，事实证明，SD-OCT测量可用于开发有关MS病理生理学的新科学理论。这些测量还可能在早期发现疾病，分期疾病严重程度，评估疾病进展以及确定个别MS患者的治疗功效方面有用。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自动化算法，但是完全利用这种三维成像技术，仍然存在一些关键的技术局限性。首先，视网膜分割方法目前没有提供亚素的精度，也不适合黄斑水肿的存在。其次，尽管视网膜的三维比较是标准眼科考试中的常规比较，但使用的黄斑注册方法并不能将刚性和可变形的组件分开，以在归一化空间中进行详细的种群比较。第三，视网膜厚度通常沿直线外部计算，而无需补偿相对姿势。这些缺陷共同阻碍了3D纵向和横断面科学研究，并限制了特定受试者的疾病进展。拟议的研究将：1）为黄斑开发一种对浮肿的雄黄素下层视网膜层分割方法； 2）同时开发刚性和可变形的注册方法，这些方法将允许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集空间； 4）在归一化空间中对正常受试者和MS患者进行横截面和纵向研究，以测试i）更深的视网膜层参与 MS和II）在MS的更深的视网膜层中观察到纵向萎缩。我们还将探索MS受试者内部核层中的区域黄斑水肿是否在内部核层中稀疏。这些研究还将包括使用全黄斑体积（纵向评估）对视力功能得分进行纵向评估的功能/结构回归。图像处理和回归算法将在开源Java Image Science工具包（JIST）框架中开发，并作为开源软件发布。

项目成果

Longitudinal graph-based segmentation of macular OCT using fundus alignment.

使用眼底对齐对黄斑 OCT 进行基于纵向图的分割。

• DOI: 10.1117/12.2077713
• 发表时间: 2015
• 期刊: Proceedings of SPIE--the International Society for Optical Engineering
• 作者: Lang,Andrew;Carass,Aaron;Al-Louzi,Omar;Bhargava,Pavan;Ying,HowardS;Calabresi,PeterA;Prince,JerryL
• 通讯作者: Prince,JerryL

Collaborative SDOCT Segmentation and Analysis Software.

协作 SDOCT 分割和分析软件。

• DOI: 10.1117/12.2254050
• 发表时间: 2017
• 期刊: Proceedings of SPIE--the International Society for Optical Engineering
• 作者: Yun,Yeyi;Carass,Aaron;Lang,Andrew;Prince,JerryL;Antony,BhavnaJ
• 通讯作者: Antony,BhavnaJ

Intensity inhomogeneity correction of SD-OCT data using macular flatspace.

• DOI: 10.1016/j.media.2017.09.008
• 发表时间: 2018-01
• 期刊: Medical image analysis
• 影响因子: 10.9
• 作者: Lang A;Carass A;Jedynak BM;Solomon SD;Calabresi PA;Prince JL
• 通讯作者: Prince JL

INTENSITY INHOMOGENEITY CORRECTION OF MACULAR OCT USING N3 AND RETINAL FLATSPACE.

• DOI: 10.1109/isbi.2016.7493243
• 发表时间: 2016-04
• 期刊: Proceedings. IEEE International Symposium on Biomedical Imaging
• 作者: Lang A;Carass A;Jedynak BM;Solomon SD;Calabresi PA;Prince JL
• 通讯作者: Prince JL

Inter-scanner Variation Independent Descriptors for Constrained Diffeomorphic Demons Registration of Retina OCT.

用于视网膜 OCT 受限微分形恶魔配准的扫描仪间变化独立描述符。

• DOI: 10.1117/12.2293790
• 发表时间: 2018
• 期刊: Proceedings of SPIE--the International Society for Optical Engineering
• 作者: Reaungamornrat,S;Carass,A;He,Y;Saidha,S;Calabresi,PA;Prince,JL
• 通讯作者: Prince,JL