Slicer+PLUS: Collaborative, open-source software for ultrasound analysis

Slicer PLUS：用于超声分析的协作开源软件

• 批准号: 9750736
• 负责人: STEPHEN R AYLWARD
• 金额: $ 53.49万
• 依托单位: KITWARE, INC.
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-21 至 2022-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9750736
• 关键词: 3-Dimensional; Abdomen; Accidents; Address; Algorithms; Anatomy; Blood; Child; Classification; Clinical; Communities; Computer software; Data; Data Analyses; Detection; Development; Devices; Diagnosis; Documentation; Emergency medical service; Environment; Foundations; Frequencies; Future; General Practitioners; Goals; Hemorrhage; Home environment; Hospitals; Human Resources; Image; Imagery; Intervention; Intra-abdominal; Label; Letters; Libraries; Life; Machine Learning; Magnetism; Manufacturer Name; Measures; Medical Device; Medical Imaging; Methods; Modality; Monitor; Optics; Output; Patient Triage; Patients; Process; Protocols documentation; Publications; Publishing; Research; Research Personnel; Research Support; Shapes; Source; Spectrum Analysis; Stethoscopes; System; Technology; Testing; Texture; Three-dimensional analysis; Time; Tissues; Translational Research; Trauma; Ultrasonography; United States National Institutes of Health; Vertebral column; Work; aging population; base; catalyst; clinical translation; cohesion; cost; data acquisition; data pipeline; elastography; emergency service responder; hospital patient care; image guided therapy; imaging Segmentation; innovation; innovative technologies; learning strategy; novel; off-label use; open source; photoacoustic imaging; point of care; portability; product development; reconstruction; research and development; scoliosis; signal processing; software development; transmission process

Abstract The target users of the proposed Slicer+PLUS framework are researchers and developers who are focusing on low-cost point-of-care ultrasound (POCUS) applications. POCUS applications are characterized by utilizing low-cost, portable U/S systems; in the hands of novice operators; with novel data acquisition, signal processing, and machine learning methods; with imprecise trackers; and in highly unconstrained point-of-care environments, e.g.: at the scene of accidents for patient triage, in the offices of general practitioners for scoliosis detection and monitoring, in patients' homes for an aging population, as well as throughout hospitals. In these contexts, many are considering POCUS devices to be the stethoscopes of the future. The foundation of Slicer+PLUS is the integration and extension of 3D Slicer, PLUS, and MUSiiC. We are the developers of these libraries. We, and the users of our libraries, are proposing Slicer+PLUS so that the Slicer, PLUS, and MUSiiC communities can come together and cohesively address the important challenges and opportunities posed by POCUS applications. Over 30 letters of support are included with this application. 3D Slicer is a world-class, freely available open-source platform for medical image segmentation, registration, and visualization. PLUS is a world-class, open-source library for communicating with ultrasound machines and trackers (for following objects in 3D using magnetic, optical, and other technologies). MUSiiC is a (previously closed source) library that focuses on advanced ultrasound acquisition and analysis methods, such as ultrasound reconstruction pipelines, elastography, and photoacoustic imaging. Together, these toolkits have averaged over 5,100 downloads per month for the past year. A central tenant of our work is that POCUS applications should not be viewed as simply involving the use of inexpensive, portable U/S systems; POCUS must be viewed as a new modality for it to attain its full potential. POCUS must involve innovative, automated data analysis methods and workflows that can guide a user to properly place and manipulate an ultrasound probe and interpret the returned ultrasound data. In particular, the output of those workflows and analyses should be quantitative measures, not b-mode images, since the expertise to interpret such images will not be readily available at points-of-care. To that end, the proposed work goes well beyond simple integration of Slicer, PLUS, and MUSiiC. Multiple innovations are proposed such as Ultrasound Spectroscopy for tissue labeling, Dynamic Textures for anatomic localization of ultrasound probes, and self-tracking ultrasound probes. To assess our progress towards our goals, our team includes our target users: researchers, medical device manufacturers, and clinical innovators dedicated to low-cost POCUS applications. They will be validating our efforts by integrating them into their research and translational POCUS product development projects.

摘要 Slicer+PLUS框架的目标用户是研究人员和开发人员，他们专注于 低成本的床旁超声（POCUS）应用。POCUS应用程序的特点是利用 低成本，便携式U/S系统;在新手操作员手中;具有新颖的数据采集，信号 处理和机器学习方法;使用不精确的跟踪器;以及在高度不受约束的即时护理中 环境，例如：在事故现场为病人分诊，在全科医生的办公室， 脊柱侧凸检测和监测，在老年人的家中，以及整个医院。 在这些背景下，许多人认为POCUS设备是未来的听诊器。 Slicer+PLUS的基础是3D Slicer、PLUS和MUSiiC的集成和扩展。我们 这些库的开发者。我们和我们图书馆的用户建议使用Slicer+PLUS， Slicer、PLUS和MUSiiC社区可以团结起来，共同应对重要挑战 POCUS应用带来的机遇。超过30封支持信包含在此应用程序中。 3D Slicer是一个世界级的免费开源医学图像分割平台， 配准和可视化。PLUS是一个世界级的开源库，用于与超声进行通信 机器和跟踪器（用于使用磁性、光学和其他技术跟踪3D对象）。MUSiiC是 一个（以前封闭的源代码）库，专注于先进的超声采集和分析方法， 例如超声重建管线、弹性成像和光声成像。这些工具包合在一起 在过去一年里，平均每月下载量超过5,100次。 我们工作的一个中心租户是POCUS应用程序不应被视为简单地涉及使用 廉价的便携式U/S系统; POCUS必须被视为一种新的模式，以实现其全面的 潜力POCUS必须涉及创新的自动化数据分析方法和工作流程， 用户正确放置和操作超声探头并解释返回的超声数据。在 特别是，这些工作流程和分析的输出应该是定量测量，而不是B模式图像， 因为解释这种图像的专业知识在护理点不容易获得。为此， 拟议的工作远远超出了Slicer、PLUS和MUSiiC的简单集成。多项创新是 提出了诸如用于组织标记的超声光谱，用于解剖定位的动态纹理， 超声探头和自跟踪超声探头。 为了评估我们实现目标的进展情况，我们的团队包括我们的目标用户：研究人员，医疗器械 制造商和致力于低成本POCUS应用的临床创新者。他们将验证我们的 通过将其整合到他们的研究和翻译POCUS产品开发项目的努力。

项目成果

Automatic Spine Ultrasound Segmentation for Scoliosis Visualization and Measurement.

• DOI: 10.1109/tbme.2020.2980540
• 发表时间: 2020-11
• 期刊: IEEE transactions on bio-medical engineering
• 作者: Ungi T;Greer H;Sunderland KR;Wu V;Baum ZMC;Schlenger C;Oetgen M;Cleary K;Aylward SR;Fichtinger G
• 通讯作者: Fichtinger G

System for Central Venous Catheterization Training Using Computer Vision-Based Workflow Feedback.

• DOI: 10.1109/tbme.2021.3124422
• 发表时间: 2022-05
• 期刊: IEEE transactions on bio-medical engineering

Photoacoustic-based catheter tracking: simulation, phantom, and in vivo studies

• DOI: 10.1117/1.jmi.5.2.021223
• 发表时间: 2018-04-01
• 期刊: JOURNAL OF MEDICAL IMAGING
• 影响因子: 2.4
• 作者: Cheng, Alexis;Kim, Younsu;Boctor, Emad M.
• 通讯作者: Boctor, Emad M.

SCOLIOSIS SCREENING AND MONITORING USING SELF CONTAINED ULTRASOUND AND NEURAL NETWORKS.

使用自我包含的超声和神经网络进行脊柱侧弯筛查和监测。

• DOI: 10.1109/isbi.2018.8363857
• 发表时间: 2018-04
• 期刊: Proceedings. IEEE International Symposium on Biomedical Imaging
• 作者: Greer H;Gerber S;Niethammer M;Kwitt R;McCormick M;Chittajallu D;Siekierski N;Oetgen M;Cleary K;Aylward S
• 通讯作者: Aylward S

SlicerVR for Medical Intervention Training and Planning in Immersive Virtual Reality.

• DOI: 10.1109/tmrb.2020.2983199
• 发表时间: 2020-05
• 期刊: IEEE transactions on medical robotics and bionics
• 作者: Pinter C;Lasso A;Choueib S;Asselin M;Fillion-Robin JC;Vimort JB;Martin K;Jolley MA;Fichtinger G
• 通讯作者: Fichtinger G