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OPTARI:光声成像临床转化的开源软件框架

OPTARI: An open-source software framework for clinical translation of optoacoustic imaging

Moritz Schillinger · Maximilian Bader · Adrian Buehler · Felix Wachter · Ferdinand Knieling · Vasilis Ntziachristos · et al.

中文摘要

光声成像(optoacoustic imaging, OptA)与超声成像结合,是覆盖多种病理变化的有前景模态。其临床研究应用仍受限于缺乏无需编程 expertise 即可使用的分析软件;现有工具多为基于脚本的工程框架或厂商专有应用。OPTARI 是开源图形软件,支持大规模临床光声-超声(optoacoustic-ultrasound, OPUS)研究,基于 napari 图像查看器与 PATATO 数据处理工具包,支持原生厂商格式及开放 HDF5 数据格式,遵循 IPASC 标准,并以独立可执行程序分发。功能涵盖感兴趣区域标注、图像重建、色团分解、基于深度学习的组织分割,以及时间和频谱分析。自动组织分割在肌肉组织上的结果与专家标注相当,批处理将每次扫描的分析时间从数分钟缩短至不足 1 秒。OPTARI 正用于正在进行的临床 OPUS 研究,连接工程框架与医学研究,为临床 OptA 成像研究提供可复现、标准化的开源分析基础。

关键要点

  1. 01临床光声-超声研究缺少面向非编程用户的易用分析软件。
  2. 02OPTARI 基于 napari 与 PATATO,支持 HDF5、厂商格式及 IPASC 标准。
  3. 03提供重建、色团分解、深度学习组织分割与时间频谱分析模块。
  4. 04肌肉组织自动分割结果与专家标注相当。
  5. 05批处理将每次扫描分析时间从数分钟降至不足 1 秒。

解读

尚无解读。

原始英文摘要

arXiv:2610.32468v1 Announce Type: cross Abstract: Combined optoacoustic (OptA) and ultrasound imaging is a promising modality across a wide range of pathologies. Its use in clinical research, however, is limited by a lack of analysis software accessible to users without programming expertise. Existing tools are either script-based engineering frameworks or proprietary vendor applications. We present OPTARI, an open-source graphical software application to facilitate large-scale clinical optoacoustic-ultrasound (OPUS) studies. OPTARI builds on the napari image viewer and the PATATO toolkit for OptA data processing. It supports native vendor and open HDF5 data formats, aligns with the IPASC standard, and is distributed as a standalone executable. Features include region-of-interest annotation, reconstruction, chromophore unmixing, deep-learning-based tissue segmentation, and temporal and spectral analysis modules. OPTARI offers a combination of features for clinical study analysis that none of the compared tools provide. The automated tissue segmentation produced results comparable to expert labeling for muscle tissue, and batch processing reduced analysis time from minutes to under one second per scan. The tool is used in ongoing clinical OPUS studies. OPTARI connects engineering frameworks with medical research and provides an open-source basis for reproducible and standardized analysis in clinical OptA imaging studies.

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