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Photoacoustic monitoring of blood oxygenation during neurosurgical interventions

机译:神经外科手术过程中光声监测血氧

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Multispectral photoacoustic (PA) imaging is a prime modality to monitor hemodynamics and changes in bloodoxygenation (sO_2). Although sO_2 changes can be an indicator of brain activity both in normal and in pathologicalconditions, PA imaging of the brain has mainly focused on small animal models with lissencephalic brains.Therefore, the purpose of this work was to investigate the usefulness of multispectral PA imaging in assessingsO_2 in a gyrencephalic brain. To this end, we continuously imaged a porcine brain as part of an open neurosurgicalintervention with a handheld PA and ultrasonic (US) imaging system in vivo. Throughout the experiment, wevaried respiratory oxygen and continuously measured arterial blood gases. The arterial blood oxygenation (SaO2)values derived by the blood gas analyzer were used as a reference to compare the performance of linear spectralunmixing algorithms in this scenario. According to our experiment, PA imaging can be used to monitor sO2 inthe porcine cerebral cortex. While linear spectral unmixing algorithms are well-suited for detecting changes inoxygenation, there are limits with respect to the accurate quantification of sO_2, especially in depth. Overall,we conclude that multispectral PA imaging can potentially be a valuable tool for change detection of sO_2 inthe cerebral cortex of a gyrencephalic brain. The spectral unmixing algorithms investigated in this work willbe made publicly available as part of the open-source software platform Medical Imaging Interaction Toolkit(MITK).
机译:多光谱光声(PA)成像是监测血液动力学和血液\ r \ n氧合(sO_2)变化的主要方式。尽管sO_2的变化可以正常和病理状态下的大脑活动的指标,\\\\\\\\\\\\\\的PA成像主要集中在具有小脑的小动物模型。\ r \ n因此,这项工作的目的是调查多光谱PA成像在评估\\\ r \ nsO_2在脑性脑的有效性。为此,我们在体内通过手持式PA和超声(US)成像系统连续成像猪脑,作为开放式神经外科手术的一部分。在整个实验过程中,我们不改变呼吸氧气和连续测量动脉血气。血气分析仪得出的动脉血氧饱和度(SaO2)\ r \ n值用作比较这种情况下线性光谱\ r \非混合算法性能的参考。根据我们的实验,PA成像可用于监测猪大脑皮层中的sO2。尽管线性光谱解混算法非常适合检测氧合变化,但对sO_2的准确定量(尤其是深度)存在一定的限制。总的来说,我们得出的结论是,多光谱PA成像可能是一种有用的工具,可用于检测回旋型大脑皮层中sO_2的变化。这项工作中研究的光谱分解算法将作为开源软件平台医学影像交互工具包(MITK)的一部分公开提供。

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  • 来源
    《Photons Plus Ultrasound: Imaging and Sensing 2019》|2019年|108780C.1-108780C.5|共5页
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    Division of Computer Assisted Medical Interventions (CAMI), German Cancer ResearchCenter (DKFZ), Heidelberg, Germany,Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany t.kirchner@dkfz-heidelberg.de;

    Division of Computer Assisted Medical Interventions (CAMI), German Cancer ResearchCenter (DKFZ), Heidelberg, Germany,Medical Faculty, Heidelberg University, Heidelberg, Germany;

    Division of Computer Assisted Medical Interventions (CAMI), German Cancer ResearchCenter (DKFZ), Heidelberg, Germany,Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany;

    Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany;

    Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany;

    Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany;

    Division of Computer Assisted Medical Interventions (CAMI), German Cancer ResearchCenter (DKFZ), Heidelberg, Germany,Medical Faculty, Heidelberg University, Heidelberg, Germany;

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