Biomedical Image Processing

该项目使用图像处理技术来 分析多种类型的生物、临床和生物医学图像。 目前的研究主要集中在三个方面：(1)结构 利用电子图像处理的大分子生物学 显微摄影和三维重建；(2)医学成像，它 包括(A)正电子发射计算机断层扫描(PET)、(B)语音病理学中的超声、(C) 心脏成像中的超声，(D)CT成像，(E)MRI，(F)成像 眼睛，(G)癌症研究中的CGAP成像，和(H)成像 与神经功能障碍有关；及(3)普通实验室 图像。图像处理研究科，计算 生物科学与工程实验室具有长期性 与各研究所合作开展研究工作，涉及使用 图像处理技术和高级计算 分析电子显微照片的技术，目标是 确定大分子结构。的最新进展 计算技术和实验技术都有 把我们的研究推向了高分辨率的前沿 3D病毒衣壳结构分析。我们是第一个破解的 二十面体衣壳结构的10‘势垒，以及第一个 非常高分辨率的衣壳/抗体结构，我们可以提供 帮助他人在以下方面获得显著改进的领导力 解决和理解重要的生物学问题。在……里面 此外，我们是第一个展示高性能的 计算可以在以下方面提供计算效率 病毒衣壳的三维重建。图像 计算生物科学处理研究科 工程实验室长期致力于提供 计算和工程方面的专业知识，可用于各种临床和 美国国立卫生研究院的生物医学活动。具体地说，PET，超声波，CT， 核磁共振成像、眼睛成像、癌症研究中的成像和成像 与神经功能障碍相关的研究已经在许多 方式。例如，我们参与开发新的 动物PET扫描仪技术大大提高了图像分辨率 超过了以前最先进的扫描仪所能提供的。 我们帮助开发了独特的超声成像软件 言语病理学在康复科的应用 进行3D可视化和心脏病学的医学 国立心肺血液研究所(NHLBI)分院 这将对心脏组织的发展领域做出贡献 生存能力研究。已经推出了一个全面的软件包 编写用于分析和检测肿瘤的诊断放射学和 正在从CT扩展到MRI、功能MRI以及其他 成像方式。我们在成像方面有长期的合作 在评估和量化晶状体视力病理方面。一个 与NCI的新合作涉及2D显微成像 在CGAP项目中获得的样本。最后，一种新的成像 对神经功能的评估正在合作中进行 NINDS。我们图像处理咨询的一个不可或缺的部分是 对NIH图像计划的持续支持(韦恩·拉斯班德著)。 我们的支持包括继续开发新的算法 以及四份佐证文件，现已随 包裹。这些文档在中广泛使用和引用 校内计划和校外生物医学科学家的合作。

This project uses image processing techniques to analyze many types of biological, clinical and biomedical images. Current research focuses on three general areas: (1) the structural biology of macromolecules using image processing of electron micrographs and 3D recontructions; (2) medical imaging, which includes (a) PET, (b) ultrasound in speech pathology, (c) ultrasound in cardiac imaging, (d) CT imaging, (e) MRI, (f) imaging the eye, (g) imaging in cancer research ' CGAP, and (h) imaging related to neural disfunction; and (3) general laboratory imaging.The Image Processing Research Section, Computational Bioscience and Engineering Laboratory has a long term collaborative research effort with the institutes involving the use of image processing techniques and advanced computational techniques to analyze electron micrographs with the goal of determining macromolecular structures. Recent advances in computational techniques as well as experimental techniques has catapulted our research to the cutting edge of high-resolution analyses of 3D virus capsid structures. We were the first to break the 10' barrier for icosahedral capsid structures, as well as the first very high resolution capsid/Antibody structure, and we can provide the leadership to help others obtain significant improvements in resolution and understanding of important biological problems. In addition, we were the first to demonstrate that high performance computing can provide computational efficiency in the three-dimensional reconstruction of virus capsids.The Image Processing Research Section, Computational Bioscience and Engineering Laboratory has a long term commitment to providing computational and engineering expertise to a variety of clinical and biomedical activities at NIH. Specifically, PET, ultrasound ,CT, MRI, imaging the eye, imaging in cancer research, and imaging related to neural disfunction have been supported in a number of ways. For example, our participation in the development of new animal PET scanner technology has extended image resolution far beyond what was available from previous state-of-the-art scanners. We have helped to develop unique ultrasound imaging software for use by the Speech pathology in the Department of Rehabilitation Medicine to perform 3D visualization and for the Cardiology Branch of the National Heart Lung and Blood Institute (NHLBI) which will contribute to the developing field of cardiac tissue viability studies. A comprehensive software package has been written to analyze and detect tumors for Diagnostic Radiology and is being extended from CT to MRI, functional MRI as well as other imaging modalities. We have a long term collaboration in imaging the eye and in assessing and quantitating lens vision pathologies. A new collaboration with NCI involves imaging 2D microscopic samples obtained in the CGAP project. Finally, a new imaging assessment of neural functioning is being evaluated in collaboration with NINDS.An integral part of our image processing consulting is ongoing support for the NIH Image program (by Wayne Rasband). Our support includes continuing development of new algorithms and four supporting documents which are now distributed with the package. These documents are widely used and referenced both in the intramural program and by extramural biomedical scientists.