Segmentation and Quantitative Analysis of Photoacoustic Imaging: A Review
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TLDR
In this paper , a comprehensive review of segmentation and quantitative methods that have been developed to process photo-acoustic imaging in preclinical and clinical experiments is presented, focusing on the parametric reliability of quantitative analysis for semantic and instance-level segmentation.Abstract:
Photoacoustic imaging is an emerging biomedical imaging technique that combines optical contrast and ultrasound resolution to create unprecedented light absorption contrast in deep tissue. Thanks to its fusional imaging advantages, photoacoustic imaging can provide multiple structural and functional insights into biological tissues such as blood vasculatures and tumors and monitor the kinetic movements of hemoglobin and lipids. To better visualize and analyze the regions of interest, segmentation and quantitative analyses were used to extract several biological factors, such as the intensity level changes, diameter, and tortuosity of the tissues. Over the past 10 years, classical segmentation methods and advances in deep learning approaches have been utilized in research investigations. In this review, we provide a comprehensive review of segmentation and quantitative methods that have been developed to process photoacoustic imaging in preclinical and clinical experiments. We focus on the parametric reliability of quantitative analysis for semantic and instance-level segmentation. We also introduce the similarities and alternatives of deep learning models in qualitative measurements using classical segmentation methods for photoacoustic imaging. read more
Citations
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Journal ArticleDOI
Evaluation of Cholesterol Thickness of Blood Vessels Using Photoacoustic Technology
A. K. Salih,Ala Hadi Alwan,Maria Jade Catalan Opulencia,Herlina Uinarni,Sura A. Awadh,Ali Thaeer Hammid,Zeinab Arzehgar +6 more
TL;DR: In this paper , a coherent photoacoustic discontinuous correlation tomography technique was used to detect the cholesterol thickness of the blood vessels to observe the progression of plaque in the heart's blood vessels.
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A Signal-Domain Object Segmentation Method for Ultrasound and Photoacoustic Computed Tomography
TL;DR: In this article , the authors proposed a new signal domain object segmentation method for USCT and PACT which does not require image reconstruction beforehand and is automatic, robust, computationally efficient, accurate, and straightforward.
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The Optical Inverse Problem in Quantitative Photoacoustic Tomography: A Review
Zeqi Wang,Wei Tao,Hui Zhao +2 more
TL;DR: In this article , the authors comprehensively investigated the recent research in this field, and methods identified with significant value are introduced in this paper, and all included methods are systematically classified based on their underlying principles.
References
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Jonathan F. Lovell,Cheng S. Jin,Cheng S. Jin,Elizabeth Huynh,Elizabeth Huynh,Honglin Jin,Honglin Jin,Chulhong Kim,John L. Rubinstein,Warren C. W. Chan,Weiguo Cao,Lihong V. Wang,Gang Zheng,Gang Zheng +13 more
TL;DR: The development of porphysomes; nanovesicles formed from self-assembled porphyrin bilayers that generated large, tunable extinction coefficients, structure-dependent fluorescence self-quenching and unique photothermal and photoacoustic properties demonstrate the multimodal potential of organic nanoparticles for biophotonic imaging and therapy.