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Titlebook: Biomedical Photoacoustics; Technology and Appli Wenfeng Xia Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive lice

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Model-Based Reconstructions for Quantitative Imaging in Photoacoustic Tomographyover. Specifically, as the signal is generated due to the coupling of light and sound by the photoacoustic effect, we have the possibility to recover acoustic as well as optical tissue parameters. This is referred to as quantitative imaging, i.e., correct recovery of physical parameters and not just
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Deep Learning-Based Methods for Photoacoustic Imaging Reconstruction: Concepts, Promises, Pitfalls, unt of data for performing deep learning. Here, we have done a review keeping in mind the fact that the data requirement and the model availability and how the computer vision models have translated to the medical imaging scenarios in the current world. This chapter consists of dividing the whole do
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Technical Validation of Photoacoustic Imaging Systems Using Phantoms effective translation into clinical practice. Such studies usually rely on the use of tissue-mimicking test objects termed “phantoms.” This chapter outlines recommendations and best practices for technical validation studies in photoacoustic imaging (PAI) and provides an overview on current standar
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Optical Ultrasound Imaging Device Development and Characterisation: A Literature Review risk of post-operative infections. However, using narrower incisions into the body has reduced the clinician’s view and dexterity of their instruments, necessitating improved image guidance technology. Optical ultrasound (OpUS) generation is emerging as a promising route to generate ultrasound with
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Optical Ultrasound Sensors for Biomedical Photoacousticss, these optical sensors generally hold the advantages of high sensitivity, broad bandwidth, wide acceptance, and miniaturized footprint. In this chapter, we review the historical developments of optical ultrasound sensors and briefly introduce three important types of miniaturized sensors and the w
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