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.

抽象的 拟议的Slicer+Plus框架的目标用户是研究人员和开发人员 低成本超声（POCUS）应用。 Pocus应用的特征是使用 低成本，便携式U/S系统；在新手经营者手中；随着新的数据获取，信号 处理和机器学习方法；带有不精确的跟踪器；并在高度不受限制的护理中 环境，例如：在患者分类的事故现场，在全科医生办公室的办公室 脊柱侧弯的检测和监测，用于老年人口的患者房屋以及整个医院。 在这些情况下，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。我们是 这些图书馆的开发人员。我们和我们的库的用户都在提议slicer+plus，以便 Slicer，Plus和Musiic Communities可以聚集在一起，并凝聚在解决重要的挑战 以及Pocus应用程序带来的机会。本申请中包含30封支持信。 3D Slicer是一个世界一流的，可自由使用的医学图像分割的开源平台， 注册和可视化。加上世界一流的开源库，用于与超声通信 机器和跟踪器（用于使用磁性，光学和其他技术的3D中的以下对象）。 Musiic是 （以前关闭的源）库，重点是高级超声采集和分析方法， 例如超声重建管道，弹性图和光声成像。在一起，这些工具包 在过去的一年中，平均每月下载超过5,100个。 我们工作的核心租户是，Pocus应用不应简单地视为涉及使用 廉价的便携式U/S系统；必须将pocus视为一种新的方式才能达到完整 潜在的。 POCUS必须涉及创新的，自动化的数据分析方法和工作流，这些方法和工作流程可以指导 用户正确放置并操纵超声探测并解释返回的超声数据。在 特别是，这些工作流和分析的输出应为定量度量，而不是B模式图像， 由于可以在护理点上不容易获得解释此类图像的专业知识。为此， 拟议的工作远远超出了切片机，加上和musiic的简单整合。多次创新 提出的，例如用于组织标记的超声光谱，用于解剖学定位的动态纹理 超声探针和自追踪的超声探针。 为了评估我们朝着目标的进步，我们的团队包括我们的目标用户：研究人员，医疗设备 制造商和临床创新者致力于低成本Pocus应用。他们将验证我们的 通过将它们整合到他们的研究和翻译Pocus产品开发项目中来做出的努力。

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.

• 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