Bioimage Suite: A structural, functional and metabolic image analysis platform

而医学图像采集和医学图像分析技术都取得了巨大的成就 在过去的20年里，三维成像的全部力量仍然没有得到充分的利用 评估临床和基础科学假说。这在一定程度上是由于缺乏易用、易用的 可用的软件，包括最先进的分析方法。Biolmage Suite代表着一种融合 来自耶鲁大学图像处理和分析、磁共振等领域的软件开发工作 以及正电子发射断层扫描(PET)研究中心，该研究中心已经整合了许多 图像分析任务，包括结构和血管造影术的自动和交互分割 图像之间刚性/非刚性配准和非刚性变形(例如在心脏图像中)的估计 功能(FMRI)和弥散张量(DTI)磁共振图像和遗嘱的分析 包括处理磁共振波谱(MRS)、单光子发射 计算机断层扫描(SPECT)和PET图像。所包含的许多方法都源于 耶鲁大学成像小组的原创研究。这项赠款申请的基本目标是扩大， 记录并进一步测试该软件，以便为影像研究人员提供实用的软件套件 并使我们能够将其免费传播给耶鲁大学和其他研究机构的研究人员。我们 提出以下具体目标。(1)扩展Biolmage Suite的底层算法库 增加了一套精心挑选的附加方法。(2)完善当前图形用户界面 在Biolmage Suite中可用，并添加了对数据库集成的广泛支持，这将简化 处理检验假设所需的大量图像，(3)检验和验证操作的正确性 (4)对软件进行全面记录，并向研究界免费提供。 与公共健康的相关性：用于处理医学图像的先进计算机程序的可用性 将大大提高医学成像技术的利用率，这是理解 许多重要的疾病(如糖尿病、心血管疾病、自闭症、癫痫)、计划治疗(如： 神经外科)和评估其他拟议的治疗方法(例如新药)

While both medical imaging acquisition and medical image analysis technology have made enormous progress over the last 20 years, the full power of three-dimensional imaging is still not being fully utilized for evaluating both clinical and basic science hypotheses. This is, in part, due to the lack of easy to use, easily available software that includes state-of-the-art analysis methods. Biolmage Suite represents a coalescence of software development efforts originating at Yale in Image Processing and Analysis, Magnetic Resonance and PET (positron emission tomography) research centers that already incorporates functionality for many image analysis tasks including both automated and interactive segmentation of structural and angiography images, estimation of rigid/non-rigid registration and non-rigid deformation (e.g. in cardiac images) between images, and analysis of functional (fMRI) and diffusion tensor (DTI) magnetic resonance images and will include functionality to process magnetic resonance spectroscopy (MRS), Single Photon Emission Computed Tomography (SPECT), and PET images. Many of the included methods originated as a result of original research in the Yale imaging groups. The fundamental objective of this grant application is to extend, document and further test this software in order to provide a practical software suite for imaging researchers and enable us to freely disseminate it to researchers both at Yale and at other research institutions. We propose.the following specific aims. (1) Expand the underlying algorithm base of Biolmage Suite by the addition of a carefully selected set of additional methods. (2) Improve the graphical user interface currently available in Biolmage Suite and add extensive support for database integration that will simplify the task of processing the large sets of images needed for testing hypotheses, (3) Test and verify the correctoperation of the software and (4) Fully document the software and make it freely available to the research community. Relevance to Public Health: The availability of advanced computer programs for processing medical images will substantially improve the utilization of medical imaging technology which is a key tool in understanding many important diseases (e.g. diabetes, cardiovascular disease, autism, epilepsy), planning therapy (e.g. neurosurgery) and evaluating other proposed treatment procedures (e.g. new drugs)