A microvascular image analysis method for optical-resolution photoacoustic microscopy

Jing-xiu, Zhao; Zhao, Qian; Lin, Riqiang; Meng, Jing

doi:10.1142/s1793545820500194

Cited by 4 publications

(5 citation statements)

References 20 publications

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“…In this work, when evaluating the degree of microvascular obstruction, we used the Imaris software for quantification of vascular length and vascular volume. There are several newly reported tools that analyze multiple characteristic vascular network parameters, such as branching point and tortuosity, which can help us to conduct a more comprehensive 3D structural analysis of blood vessels in stroke [19,[34][35][36].…”

Section: Our Proposed Strategy For Evaluating Microvascular Obstructionmentioning

confidence: 99%

A labeling strategy for the three-dimensional recognition and analysis of microvascular obstruction in ischemic stroke

Li¹,

Xu²,

Yu³

et al. 2023

Theranostics

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Rationale: Large vessel recanalization in ischemic stroke does not always go along with tissue reperfusion, a phenomenon called "no-reflow". However, knowledge of the mechanism of no-reflow is limited because identifying microvascular obstruction across the cortex and subcortex both in clinical and experimental models is challenging. In this study, we developed a smart three-dimensional recognition pipeline for microvascular obstruction during post-ischemia reperfusion to examine the underlying mechanism of no-reflow. Methods: Transient (60 min) occlusion of the middle cerebral artery (tMCAo) in mice was induced using a filament. Two different fluorophore-conjugated tomato lectins were injected into mice via the tail vein before and after ischemia/reperfusion (I/R), respectively, one to label all blood vessels and the other to label functional blood vessels. Post-I/R microvascular obstruction was visualized using combined iDISCO+-based tissue clearing and optical imaging. Arterioles and capillaries were distinguished using whole-mount immunolabeling with an anti-αSMA antibody. Circulating neutrophils were depleted utilizing an anti-Ly6G antibody. Brain slices were immunostained with the anti-Ly6G antibody to identify co-localized blockage points and neutrophils. MATLAB software was used to quantify the capillary diameters in the ipsilateral brain from the normal and tMCAo mice. Results: Microcirculatory reperfusion deficit worsened over time after I/R. Microvascular obstruction occurred not only in arterioles but also in capillaries, with capillary obstruction associated with local capillary lumen narrowing. In addition, the depletion of circulating neutrophils mitigated reperfusion deficit to a large extent after I/R. The co-localization of blockage points and neutrophils revealed that some neutrophils plugged capillaries with coexisting capillary lumen narrowing and that no neutrophil was trapped in heaps of blockage points. Quantification of the capillary diameter showed that capillary lumen shrunk after I/R but returned to typical measurements when intravascular neutrophils were depleted. Conclusions: According to our findings, both vascular lumen narrowing and neutrophil trapping in cerebral microcirculation are the key causes of microvascular obstruction after I/R. Also, the primary contribution by neutrophils to microvascular obstruction does not occur through microemboli plugging but rather via the exacerbation of capillary lumen narrowing. Our proposed method will help monitor microcirculatory reperfusion deficit, explore the mechanism of no-reflow, and evaluate the curative effect of drugs targeting no-reflow.

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Section: Our Proposed Strategy For Evaluating Microvascular Obstructionmentioning

confidence: 99%

A labeling strategy for the three-dimensional recognition and analysis of microvascular obstruction in ischemic stroke

Li¹,

Xu²,

Yu³

et al. 2023

Theranostics

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“…Additionally, the variation between these 2 outcomes is important. Zhao et al [18] presented an approach adoptive to the microvascular segmentation in photoacoustic image that includes morphological connection and a Hessian matrix e precision of these vascular segmentation approaches is quantitatively estimated by several criteria. In order to attain continuous and accurate microvascular skeletons, an enhanced skeleton extractionbased multistencil fast marching (MSFM) approach has been presented.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Additionally, the variation between these 2 outcomes is important. Zhao et al [ 18 ] presented an approach adoptive to the microvascular segmentation in photoacoustic image that includes morphological connection and a Hessian matrix enhancement operator. The precision of these vascular segmentation approaches is quantitatively estimated by several criteria.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of Metaheuristic Optimization‐Based Vascular Segmentation Techniques for Photoacoustic Images

Vaiyapuri

Dutta²,

Sikkandar

et al. 2022

Contrast Media & Molecular Imaging

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Biomedical imaging technologies are designed to offer functional, anatomical, and molecular details related to the internal organs. Photoacoustic imaging (PAI) is becoming familiar among researchers and industrialists. The PAI is found useful in several applications of brain and cancer imaging such as prostate cancer, breast cancer, and ovarian cancer. At the same time, the vessel images hold important medical details which offer strategies for a qualified diagnosis. Recently developed image processing techniques can be employed to segment vessels. Since vessel segmentation on PAI is a difficult process, this paper employs metaheuristic optimization-based vascular segmentation techniques for PAI. The proposed model involves two distinct kinds of vessel segmentation approaches such as Shannon’s entropy function (SEF) and multilevel Otsu thresholding (MLOT). Moreover, the threshold value and entropy function in the segmentation process are optimized using three metaheuristics such as the cuckoo search (CS), equilibrium optimizer (EO), and harmony search (HS) algorithms. A detailed experimental analysis is made on benchmark PAI dataset, and the results are inspected under varying aspects. The obtained results pointed out the supremacy of the presented model with a higher accuracy of 98.71%.

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“…The emergence of tailored anti-angiogenic medication provides the possibility to use MVD analysis as both a prognostic and therapeutic marker. MVD can be measured with a variety of histological and in vivo imaging techniques, including PAI [69][70][71][72]. To our knowledge, the use of PAI to measure MVD in vivo has been mostly limited to PA microscopy (acoustic and optical resolution) or mesoscopy [72][73][74][75][76][77][78][79][80].…”

Section: Introductionmentioning

confidence: 99%

Vascular regional analysis unveils differential responses to anti-angiogenic therapy in pancreatic xenografts through macroscopic photoacoustic imaging

Sweeney,

Xavierselvan,

Langley

et al. 2024

Preprint

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Pancreatic cancer (PC) is a highly lethal malignancy and the third leading cause of cancer deaths in the U.S. Despite major innovations in imaging technologies, there are limited surrogate radiographic indicators to aid in therapy planning and monitoring. Amongst the various imaging techniques Ultrasound-guided photoacoustic imaging (US-PAI) is a promising modality based on endogenous blood (hemoglobin) and blood oxygen saturation (StO2) contrast to monitor response to anti-angiogenic therapies. Adaptation of US-PAI to the clinical realm requires macroscopic configurations for adequate depth visualization, illuminating the need for surrogate radiographic markers, including the tumoral microvessel density (MVD). In this work, subcutaneous xenografts with PC cell lines AsPC-1 and MIA-PaCa-2 were used to investigate the effects of receptor tyrosine kinase inhibitor (sunitinib) treatment on MVD and StO2. Through histological correlation, we have shown that regions of high and low vascular density (HVD and LVD) can be identified through frequency domain filtering of macroscopic PA images which could not be garnered from purely global analysis. We utilized vascular regional analysis (VRA) of treatment-induced StO2and total hemoglobin (HbT) changes. VRA as a tool to monitor treatment response allowed us to identify potential timepoints of vascular remodeling, highlighting its ability to provide insights into the TME not only for sunitinib treatment but also other anti-angiogenic therapies.

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A microvascular image analysis method for optical-resolution photoacoustic microscopy

Cited by 4 publications

References 20 publications

A labeling strategy for the three-dimensional recognition and analysis of microvascular obstruction in ischemic stroke

A labeling strategy for the three-dimensional recognition and analysis of microvascular obstruction in ischemic stroke

Design of Metaheuristic Optimization‐Based Vascular Segmentation Techniques for Photoacoustic Images

Vascular regional analysis unveils differential responses to anti-angiogenic therapy in pancreatic xenografts through macroscopic photoacoustic imaging

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