Digital Imaging Processing Core

数字图像处理核心

• 批准号: 8318549
• 负责人: Charles Raymond Meyer
• 金额: $ 33.94万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-05 至 2013-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8318549
• 关键词: Amendment; Animals; Archives; Back; Biological Markers; Brain Neoplasms; Clinical Trials; Data; Data Set; Data Storage and Retrieval; Databases; Development; Diffusion; Freedom; Funding; Future; Goals; Head; Histology; Human; Image; Image Analysis; Implant; Investigation; Lead; Lesion; Location; Magnetic Resonance Imaging; Malignant neoplasm of brain; Maps; Methods; Modeling; Noise; Patients; Perfusion; Positioning Attribute; Protocols documentation; Publishing; Research; Resolution; Role; Sampling; Scanning; Slice; Software Tools; Specific qualifier value; System; Techniques; Testing; Therapeutic; Translating; Treatment Efficacy; Weight; analytical tool; base; data integrity; digital imaging; image processing; image registration; in vivo; method development; multimodality; response; tool; treatment response; tumor

The goals of the Digital Image Processing Core are to continue provide analytic tools for all projects. These unique image analysis tools are necessary for unbiased, accurate, quantitative analysis of temporal volumetric changes in single and multimodal MRI data sets of lab animals and human patients. Currently all MRI acquisitions independent of weightings for all interval exams of both animal and human studies are fully automatically registered to a "reference" data set in the first exam typically using a rotate- translate geometry model; this is a multimodality registration problem using existing software tools. Typically a T1-weighted, post-Gad sequence, is used as the reference for registering all successive interval exam sets. B1-field corrections have been found to be unnecessary thus far. In cases where the acquisitions involve high gradient fields such as those used for diffusion or perfusion weighted imaging, registrations are accomplished using a full affine model to support correction of shears caused by the gradients. Currently all human scan data including both original acquisitions and registered datasets, as well as animal backups, are stored on the Core's disk system. In the future all animal scans will be likewise stored on the Core's disks which can be accessed via TCP/IP or SAMBA protocols over 100 Mb ethernet. Of course the Core is responsible for maintaining data integrity and backup. The core will also develop the ability to track the positions of voxels within treated lesions across interval exams using high degree of freedom warpings. This facility for both animal and human imaging will support further investigation of the role of the apparent diffusion coefficient (ADC) as well as other parameters, e.g. perfusion, as potentially early indicators of therapeutic response. Additionally in the A1 amendment this Core demonstrated the ability to map histology back to in vivo MRI voxels for animals (where whole head ex vivo MRI acquisitions are possible) using only intrinsic scan information (i.e. no implanted fiducials of any kind).

数字图像处理核心的目标是继续为所有项目提供分析工具。这些 独特的图像分析工具对于时间上的公正，准确，定量分析是必需的 实验室动物和人类患者的单模式MRI数据集的体积变化。 目前，所有MRI获取都独立于权重的所有间隔检查，均可进行动物和人类 研究通常会自动注册为第一次考试中通常使用旋转的“参考”数据集 翻译几何模型；这是使用现有软件工具的多模式注册问题。通常 T1加权后加德序列被用作注册所有连续间隔检查的参考 套。到目前为止，已经发现B1场校正是不必要的。在收购的情况下 涉及高梯度领域，例如用于扩散或灌注加权成像的梯度，注册为 使用完整的仿射模型完成了支持梯度引起的剪切的校正。目前全部 人类扫描数据包括原始收购和注册数据集以及动物备份 存储在核心磁盘系统上。将来，所有动物扫描都将同样存储在核心磁盘上 可以通过TCP/IP或SAMBA协议访问100 MB以太网。当然核心是 负责维护数据完整性和备份。 核心还将发展能够跟踪跨间隔治疗病变中体素位置的位置 使用高度自由度交易的考试。动物和人类成像的设施都将支持 进一步研究明显扩散系数（ADC）以及其他参数的作用，例如 灌注，作为治疗反应的潜在早期指标。此外，在A1修正案中 核心证明了将组织学映射回动物体内MRI体素的能力（整个头部 可能仅使用固有的扫描信息（即，任何任何植入的基金会 种类）。