Photoacoustic imaging for monitoring of stroke diseases: A review

Yang, Xi‐Ming; Chen, Yun-Hsuan; Xia, Fen; Sawan, Mohamad

doi:10.1016/j.pacs.2021.100287

Cited by 62 publications

(31 citation statements)

References 146 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…PAI is current example of the effective rise of optical imaging modality. PAI uses the absorption features of exogenous or endogenous biomarkers for generating targeted image contrast with a wide-ranging penetration depth and spatial resolution [ 5 ]. Figure 1 illustrates the process of PAI.…”

Section: Introductionmentioning

confidence: 99%

Deep Transfer Learning-Based Breast Cancer Detection and Classification Model Using Photoacoustic Multimodal Images

Althobaiti

Ashour

Alhindi

et al. 2022

BioMed Research International

View full text Add to dashboard Cite

The rapid development of technologies in biomedical research has enriched and broadened the range of medical equipment. Magnetic resonance imaging, ultrasonic imaging, and optical imaging have been discovered by diverse research communities to design multimodal systems, which is essential for biomedical applications. One of the important tools is photoacoustic multimodal imaging (PAMI) which combines the concepts of optics and ultrasonic systems. At the same time, earlier detection of breast cancer becomes essential to reduce mortality. The recent advancements of deep learning (DL) models enable detection and classification the breast cancer using biomedical images. This article introduces a novel social engineering optimization with deep transfer learning-based breast cancer detection and classification (SEODTL-BDC) model using PAI. The intention of the SEODTL-BDC technique is to detect and categorize the presence of breast cancer using ultrasound images. Primarily, bilateral filtering (BF) is applied as an image preprocessing technique to remove noise. Besides, a lightweight LEDNet model is employed for the segmentation of biomedical images. In addition, residual network (ResNet-18) model can be utilized as a feature extractor. Finally, SEO with recurrent neural network (RNN) model, named SEO-RNN classifier, is applied to allot proper class labels to the biomedical images. The performance validation of the SEODTL-BDC technique is carried out using benchmark dataset and the experimental outcomes pointed out the supremacy of the SEODTL-BDC approach over the existing methods.

show abstract

Section: Introductionmentioning

confidence: 99%

Deep Transfer Learning-Based Breast Cancer Detection and Classification Model Using Photoacoustic Multimodal Images

Althobaiti

Ashour

Alhindi

et al. 2022

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…Methods of optical imaging, such as fluorescence imaging [49–56], laser speckle imaging (LSI) [57, 58], optical coherence tomography (OCT) [59–62] and photoacoustic imaging (PAI) [63–66], offer promising alternatives to the CT‐ and MRI‐based technologies as means for high spatial and/or temporal stroke diagnosis and stroke‐growth studies. Specifically, when combined with advanced optogenetic technologies [18–21], fluorescence‐based approaches can provide a unique combination of unsurpassed, deeply subcellular spatial resolution [67, 68] with a capability to resolve fast episodes in the dynamics of structurally complex biological objects [12], including individual brain cells, blood vessels, as well as neuro‐ and glio‐vascular units [5, 69].…”

Section: Introductionmentioning

confidence: 99%

Real‐time fiber‐optic recording of acute‐ischemic‐stroke signatures

Pochechuev

Bilan

Федотов

et al. 2022

Journal of Biophotonics

View full text Add to dashboard Cite

We present an experimental framework and methodology for in vivo studies on rat stroke models that enable a real‐time fiber‐optic recording of stroke‐induced hydrogen peroxide and pH transients in ischemia‐affected brain areas. Arrays of reconnectable implantable fiber probes combined with advanced optogenetic fluorescent protein sensors are shown to enable a quantitative multisite time‐resolved study of oxidative‐stress and acidosis buildup dynamics as the key markers, correlates and possible drivers of ischemic stroke. The fiber probes designed for this work provide a wavelength‐multiplex forward‐propagation channel for a spatially localized, dual‐pathway excitation of genetically encoded fluorescence‐protein sensors along with a back‐propagation channel for the fluorescence return from optically driven fluorescence sensors. We show that the spectral analysis of the fiber‐probe‐collected fluorescence return provides means for a high‐fidelity autofluorescence background subtraction, thus enhancing the sensitivity of real‐time detection of stroke‐induced transients and significantly reducing measurement uncertainties in in vivo acute‐stroke studies as inherently statistical experiments operating with outcomes of multiply repeated measurements on large populations of individually variable animal stroke models.

show abstract

“…Optoacoustic imaging allows for the non-invasive assessment of blood oxygenation relatively deep in tissue (mm to cm range) [24][25][26][27][28]. It has been previously employed to detect functional and structural alterations in the brain but not yet in the periphery of tMCAO animal models [29][30][31][32][33]. In this study, we aimed to image metabolic alterations in the hematopoietic organs in response to tMCAO with [ 18 F]FDG PET and multi-spectral optoacoustic tomography (MSOT) and evaluate immune and progenitor cell responses using flow cytometry.…”

Section: Introductionmentioning

confidence: 99%

Imaging increased metabolism in the spinal cord in mice after middle cerebral artery occlusion

Straumann

Fazio

et al. 2022

Preprint

View full text Add to dashboard Cite

Emerging evidence indicates crosstalk between the brain and the hematopoietic system follow-ing cerebral ischemia. Here, we investigated metabolism and oxygenation in the spleen and spinal cord in a transient middle cerebral artery occlusion (tMCAO) mouse model that is wide-ly used in focal cerebral ischemia research. Naive, sham and tMCAO mice underwent positron emission tomography (PET) using [18F]fluorodeoxyglucose (FDG) for assessing glucose me-tabolism and multispectral optoacoustic tomography (MSOT) assisted with quantitative model-based reconstruction and unmixing algorithms for accurate mapping of oxygenation patterns in the peripheral tissues at 24 h after reperfusion. We found increased levels of [18F]FDG uptake and reduced MSOT oxygen saturation, indicating hypoxia in the thoracic spinal cord of tMCAO mice compared with sham-operated mice but not in the spleen. A positive correlation was observed between splenic and ipsilateral striatal [18F]FDG uptake. Reduced spleen size was observed in tMCAO mice compared with sham-operated mice ex vivo. tMCAO led to a significant increase in the numbers of mature T cells (CD4 and CD8) in femoral bone marrow tissues, concomitant with a stark reduction in these cell subsets in the spleen and their decrease in periph-eral blood. The numbers of mature granulocytes (determined as CD11b+Gr1hi cells) decreased in bone marrow tissues and blood but increased in the spleen. The combination of quantitative PET and MSOT thus enabled the observation of hypoxia and increased metabolic activity in the spinal cord of tMCAO mice at 24 h after occlusion compared to sham-operated mice.

show abstract

Photoacoustic imaging for monitoring of stroke diseases: A review

Abstract: Highlights Summarizes photoacoustic imaging for monitoring of stroke diseases. Focuses on the potential photoacoustic systems for human monitoring. Reports the challenges of stroke monitoring in the human brain.

Cited by 62 publications

References 146 publications

Deep Transfer Learning-Based Breast Cancer Detection and Classification Model Using Photoacoustic Multimodal Images

Deep Transfer Learning-Based Breast Cancer Detection and Classification Model Using Photoacoustic Multimodal Images

Real‐time fiber‐optic recording of acute‐ischemic‐stroke signatures

Imaging increased metabolism in the spinal cord in mice after middle cerebral artery occlusion

Contact Info

Product

Resources

About