Quantitative photoacoustic oximetry imaging by multiple illumination learned spectral decoloring

Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI)

One of the main applications of photoacoustic (PA) imaging is the recovery of functional tissue properties, such as blood oxygenation (sO2). This is typically achieved by linear spectral unmixing of relevant chromophores from multispectral photoacoustic images. Despite the progress that has been made towards quantitative PA imaging (qPAI), most sO2 estimation methods yield poor results in realistic settings. In this work, we tackle the challenge by employing learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI) to obtain quantitative estimates for blood oxygenation. LSD…

O-Net: A Convolutional Neural Network for Quantitative Photoacoustic Image Segmentation and Oximetry

Estimation of blood oxygenation with spectroscopic photoacoustic imaging is a promising tool for several biomedical applications. For this method to be quantitative, it relies on an accurate method of the light fluence in the tissue. This is difficult deep in heterogeneous tissue, where different wavelengths of light can experience significantly different attenuation. In this work, we developed a new deep neural network to simultaneously estimate the oxygen saturation in blood vessels and segment the vessels from the surrounding background tissue. The network was trained on estimated initial p…

分布信息感知与波长灵活的数据驱动光声血氧测定法

Distribution-informed and wavelength-flexible data-driven photoacoustic oximetry

提出一种基于长短期记忆网络的波长灵活光声血氧测定架构，并利用 Jensen-Shannon 散度预测最佳训练数据集，有效提升了血氧估计的准确性和临床稳健性。

Machine learning enabled multiple illumination quantitative optoacoustic imaging of blood oxygenation in humans

Optoacoustic (OA) imaging is a promising modality for quantifying blood oxygen saturation (sO$_2$) in various biomedical applications - in diagnosis, monitoring of organ function or even tumor treatment planning. We present an accurate and practically feasible real-time capable method for quantitative imaging of sO$_2$ based on combining multispectral (MS) and multiple illumination (MI) OA imaging with learned spectral decoloring (LSD). For this purpose we developed a hybrid real-time MI MS OA imaging setup with ultrasound (US) imaging capability; we trained gradient boosting machines on MI sp…

用于多光谱光学成像血氧验证的拟人组织模拟体模

Anthropomorphic tissue-mimicking phantoms for oximetry validation in multispectral optical imaging

本研究提出拟人组织模拟体模，用于多光谱光学成像中血氧饱和度验证，通过3D打印和染料优化实现定量测试，结果显示高相关性，为sO$_2$成像标准化提供工具。