Raster-Scanning Optoacoustic Mesoscopy for Gastrointestinal Imaging at High Resolution

Knieling, Ferdinand; Gonzales-Menezes, Jean; Claussen, Jing; Schwarz, Michael; Neufert, Clemens; Fahlbusch, Fabian; Räth, Timo; Thoma, Oana‐Maria; Kramer, Viktoria; Menchicchi, Bianca; Kersten, Christina; Scheibe, Kristina; Schürmann, Sebastian; Carlé, Birgitta; Rascher, Wolfgang; Ntziachristos, Vasilis; Waldner, Maximilian J.

doi:10.1053/j.gastro.2017.11.285

Cited by 25 publications

(26 citation statements)

References 13 publications

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“…To further characterize the in situ distribution of fibroblasts after IL36R ligand injection in vivo, we took advantage of rasterscanning optoacoustic mesoscopy. 38 Specifically, we used raster-scanning optoacoustic mesoscopy in a collagen reporter mouse expressing the red fluorescent protein tdTO-MATO under control of the type VI collagen promoter in the presence or absence of IL36R stimulation. Here, we detected increased numbers of tdTOMATO-expressing cells in the large intestine in response to systemic IL36R stimulation ( Figure 4G), suggesting that IL36R signaling drives type VI collagen production.…”

Section: Il36r Stimulation Is Sufficient To Create Long-lasting Fibromentioning

confidence: 99%

Inhibiting Interleukin 36 Receptor Signaling Reduces Fibrosis in Mice With Chronic Intestinal Inflammation

et al. 2019

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Section: Il36r Stimulation Is Sufficient To Create Long-lasting Fibromentioning

confidence: 99%

Inhibiting Interleukin 36 Receptor Signaling Reduces Fibrosis in Mice With Chronic Intestinal Inflammation

et al. 2019

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“…Since there is no effective method to achieve the reliability and repeatability of the results expected, we proposed to apply photoacoustic imaging (PAI) to this problem. PAI is a hybrid imaging method that combines optical contrast and ultrasonic resolution [11,12] . It combines high-resolution volume imaging of tissue depths from a few millimeters to centimeters with the ability to analyze drugs with molecular speci city, vascular system and physiological parameters [13] .…”

Section: Introductionmentioning

confidence: 99%

Photoacoustic Imaging in Evaluating Early Intestinal Ischemia and Reperfusion Injury with Rat Models

Wang¹,

Pan²,

Hua³

et al. 2020

Preprint

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Purpose: It is still a challenge to distinguish whether the damaged intestine is viable or not in the treatment of acute mesenteric ischemia. In this study, photoacoustic imaging (PAI) was used to observe the activity of intestinal tissue after ischemia and reperfusion injury in rats.Methods: With the approval of animal ethics committee our university, in vivo study was carried out. Forty male SD rats were randomly divided into four groups: sham operated (SO) group, 1 h ischemia group, 2 h ischemia group and ischemia-reperfusion (I/R) group. In the ischemia group, superior mesenteric artery (SMA) was isolated and clamped for 1 h (n = 10) and 2 h (n = 10), respectively. In I/R group, after ischemia for 1 hour, the clamp was removed and reperfused for 1 hour (n = 10). The same time interval of SMA was taken as SO group (n = 10). Immediately after the establishment of the animal model, PAI examination was performed. After PAI examination, the small intestine was collected for histopathology.Results: The PAI derived parameters of 2 h ischemia group were significantly different from those of SO group and I/R group (P < 0.05). The levels of Hb, HbR, map760 and map 840 were increased in different degrees in ischemia group, especially in 2 h ischemia group (compared with SO group, P < 0.01). With the prolongation of ischemia time, the injury was aggravated. In immunohistochemistry, compared with SO group, BAX increased significantly in 2 h ischemia group (P < 0.01). Similarly, Caspase-3 was significantly higher than the baseline level (P < 0.05). The level of HIF-1a increased in 2 h ischemia group and I/R group (P < 0.05). TUNEL staining showed that the number of apoptotic positive nuclei in 2 h ischemia group was significantly higher than that in SO group (P < 0.05). HE staining showed that ischemia for 2 hours was the most serious, with obvious mucosal damage, extensive epithelial injury and bleeding.Conclusions: PAI can be used as an effective tool to detect acute intestinal ischemia injury and quantitatively evaluate tissue viability.

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“…For best performance, RSOM should be performed using ultra‐wideband (UWB) detection, spanning a range of 200 MHz . UWB‐RSOM can generate high‐resolution images of neovascularization in a growing tumor, visualize neovascularization in neoplastic gastrointestinal tissues, and observe clinically relevant features of the skin microvascular structures . For this imaging technique to be clinically relevant, it is necessary to accurately define the regions and subregions of tissue in the field of view .…”

Section: Introductionmentioning

confidence: 99%

“…UWB‐RSOM can generate high‐resolution images of neovascularization in a growing tumor, visualize neovascularization in neoplastic gastrointestinal tissues, and observe clinically relevant features of the skin microvascular structures . For this imaging technique to be clinically relevant, it is necessary to accurately define the regions and subregions of tissue in the field of view . For example, skin images should be annotated to indicate the boundaries of epidermis, dermis, and, within the dermis, the areas that have a dense microvascular structure (herein referred to as the vascular plexus), since identifying particular features in each of these subregions may facilitate disease diagnosis and assessment of its severity …”

Section: Introductionmentioning

confidence: 99%

“…11,12 For this imaging technique to be clinically relevant, it is necessary to accurately define the regions and subregions of tissue in the field of view. 10,13 For example, skin images should be annotated to indicate the boundaries of epidermis, dermis, and, within the dermis, the areas that have a dense microvascular structure (herein referred to as the vascular plexus), since identifying particular features in each of these subregions may facilitate disease diagnosis and assessment of its severity. 8 So far, skin layers in UWB-RSOM images have been manually segmented by visual inspection of vasculature morphology or automatically based on signal intensity levels.…”

Section: Introductionmentioning

confidence: 99%

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Fully automated identification of skin morphology in raster‐scan optoacoustic mesoscopy using artificial intelligence

Moustakidis¹,

Omar

Aguirre

et al. 2019

Medical Physics

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Purpose Identification of morphological characteristics of skin lesions is of vital importance in diagnosing diseases with dermatological manifestations. This task is often performed manually or in an automated way based on intensity level. Recently, ultra‐broadband raster‐scan optoacoustic mesoscopy (UWB‐RSOM) was developed to offer unique cross‐sectional optical imaging of the skin. A machine learning (ML) approach is proposed here to enable, for the first time, automated identification of skin layers in UWB‐RSOM data. Materials and methods The proposed method, termed SkinSeg, was applied to coronal UWB‐RSOM images obtained from 12 human participants. SkinSeg is a multi‐step methodology that integrates data processing and transformation, feature extraction, feature selection, and classification. Various image features and learning models were tested for their suitability at discriminating skin layers including traditional machine learning along with more advanced deep learning algorithms. An support vector machines‐based postprocessing approach was finally applied to further improve the classification outputs. Results Random forest proved to be the most effective technique, achieving mean classification accuracy of 86.89% evaluated based on a repeated leave‐one‐out strategy. Insights about the features extracted and their effect on classification accuracy are provided. The highest accuracy was achieved using a small group of four features and remained at the same level or was even slightly decreased when more features were included. Convolutional neural networks provided also promising results at a level of approximately 85%. The application of the proposed postprocessing technique was proved to be effective in terms of both testing accuracy and three‐dimensional visualization of classification maps. Conclusions SkinSeg demonstrated unique potential in identifying skin layers. The proposed method may facilitate clinical evaluation, monitoring, and diagnosis of diseases linked to skin inflammation, diabetes, and skin cancer.

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Raster-Scanning Optoacoustic Mesoscopy for Gastrointestinal Imaging at High Resolution

Cited by 25 publications

References 13 publications

Inhibiting Interleukin 36 Receptor Signaling Reduces Fibrosis in Mice With Chronic Intestinal Inflammation

Inhibiting Interleukin 36 Receptor Signaling Reduces Fibrosis in Mice With Chronic Intestinal Inflammation

Photoacoustic Imaging in Evaluating Early Intestinal Ischemia and Reperfusion Injury with Rat Models

Fully automated identification of skin morphology in raster‐scan optoacoustic mesoscopy using artificial intelligence

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