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

Slicer PLUS：用于超声分析的协作开源软件

基本信息

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
项目类别：
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

项目摘要

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.

抽象的所提出的 Slicer+PLUS 框架的目标用户是专注于低成本床旁超声 (POCUS) 应用。 POCUS 应用程序的特点是利用低成本、便携式美国系统；在新手操作者手中；具有新颖的数据采集、信号处理和机器学习方法；跟踪器不精确；并且在高度不受约束的护理点环境，例如：在事故现场进行患者分诊、在全科医生办公室进行患者分诊在老龄化患者的家中以及整个医院进行脊柱侧凸检测和监测。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。我们是这些库的开发者。我们以及我们图书馆的用户提议 Slicer+PLUS，以便 Slicer、PLUS 和 MUSiiC 社区可以齐心协力应对重要挑战以及 POCUS 应用程序带来的机会。此申请包含 30 多封支持信。 3D Slicer 是一个世界一流的免费开源平台，用于医学图像分割，注册和可视化。 PLUS 是一个世界级的、用于超声通信的开源库机器和跟踪器（使用磁性、光学和其他技术跟踪 3D 对象）。音乐是一个（以前闭源）库，专注于先进的超声采集和分析方法，例如超声重建管道、弹性成像和光声成像。这些工具包一起去年平均每月下载量超过 5,100 次。我们工作的核心是 POCUS 应用程序不应被视为简单地涉及使用廉价、便携式的美国系统； POCUS 必须被视为一种新模式，才能充分发挥其作用潜在的。 POCUS 必须涉及创新的自动化数据分析方法和工作流程，以指导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，因为在护理点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 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波探头和自跟踪超声波探头。为了评估我们实现目标的进展，我们的团队包括我们的目标用户：研究人员、医疗设备致力于低成本 POCUS 应用的制造商和临床创新者。他们将验证我们的通过将它们整合到他们的研究和转化 POCUS 产品开发项目中来做出努力。

项目成果

期刊论文数量（11）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Navigated tissue characterization during skin cancer surgery.

在皮肤癌手术期间导航组织特征。

DOI：
发表时间：
2020-10
期刊：
影响因子：
0
作者：
Janssen, Natasja N Y;Kaufmann, Martin;Santilli, Alice;Jamzad, Amoon;Vanderbeck, Kaitlin;Ren, Kevin Yi Mi;Ungi, Tamas;Mousavi, Parvin;Rudan, John F;McKay, Doug;Wang, Ami;Fichtinger, Gabor
通讯作者：
Fichtinger, Gabor

Ultrasound thermal monitoring with an external ultrasound source for customized bipolar RF ablation shapes.

使用外部超声源进行超声热监测，用于定制双极射频消融形状。

DOI：
发表时间：
2018-06
期刊：
影响因子：
0
作者：
Kim, Younsu;Audigier, Chloé;Ziegle, Jens;Friebe, Michael;Boctor, Emad M
通讯作者：
Boctor, Emad M

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

基于光声的导管跟踪：模拟、模型和体内研究。

DOI：
发表时间：
2018-04
期刊：
影响因子：
0
作者：
Cheng, Alexis;Kim, Younsu;Itsarachaiyot, Yuttana;Zhang, Haichong K;Weiss, Clifford R;Taylor, Russell H;Boctor, Emad M
通讯作者：
Boctor, Emad M

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

使用独立超声和神经网络进行脊柱侧凸筛查和监测。

DOI：
发表时间：
2018-04
期刊：
影响因子：
0
作者：
Greer, Hastings;Gerber, Sam;Niethammer, Marc;Kwitt, Roland;McCormick, Matt;Chittajallu, Deepak;Siekierski, Neal;Oetgen, Matthew;Cleary, Kevin;Aylward, Stephen
通讯作者：
Aylward, Stephen

An End-to-End Solution for Automatic Contouring of Tumor Region in Intraoperative Images of Breast Lumpectomy.

乳腺肿块切除术术中图像中肿瘤区域自动轮廓的端到端解决方案。

DOI：
发表时间：
2020-07
期刊：
影响因子：
0
作者：
Gerolami, J;Wu, V;Fauerbach, P Nasute;Jabs, D;Engel, C J;Rudan, J;Merchant, S;Walker, R;Anas, E M A;Abolmaesumi, P;Fichtinger, G;Ungi, T;Mousavi, P
通讯作者：
Mousavi, P