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本文引用的文献

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Deep learning improves contrast in low-fluence photoacoustic imaging.深度学习可改善低通量光声成像中的对比度。
Biomed Opt Express. 2020 May 29;11(6):3360-3373. doi: 10.1364/BOE.395683. eCollection 2020 Jun 1.
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Dictionary learning technique enhances signal in LED-based photoacoustic imaging.字典学习技术增强了基于发光二极管的光声成像中的信号。
Biomed Opt Express. 2020 Apr 14;11(5):2533-2547. doi: 10.1364/BOE.387364. eCollection 2020 May 1.
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An Angle-Independent Cross-Sectional Doppler Method for Flow Estimation in the Common Carotid Artery.一种用于颈总动脉血流估计的角度无关型横截面多普勒方法。
IEEE Trans Ultrason Ferroelectr Freq Control. 2020 Aug;67(8):1513-1524. doi: 10.1109/TUFFC.2020.2975315. Epub 2020 Feb 20.
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Enhanced contrast acoustic-resolution photoacoustic microscopy using double-stage delay-multiply-and-sum beamformer for vasculature imaging.采用双级延迟-乘法-求和波束形成器增强对比声分辨率光声显微镜用于血管成像。
J Biophotonics. 2019 Nov;12(11):e201900133. doi: 10.1002/jbio.201900133. Epub 2019 Aug 7.
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Noninvasive staging of pressure ulcers using photoacoustic imaging.使用光声成像技术对压疮进行非侵入性分期。
Wound Repair Regen. 2019 Sep;27(5):488-496. doi: 10.1111/wrr.12751. Epub 2019 Jul 26.
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Photoacoustic imaging for monitoring periodontal health: A first human study.用于监测牙周健康的光声成像:首次人体研究。
Photoacoustics. 2018 Nov 1;12:67-74. doi: 10.1016/j.pacs.2018.10.005. eCollection 2018 Dec.
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The double-stage delay-multiply-and-sum image reconstruction method improves imaging quality in a LED-based photoacoustic array scanner.双阶段延迟相乘求和图像重建方法提高了基于发光二极管的光声阵列扫描仪的成像质量。
Photoacoustics. 2018 Sep 18;12:22-29. doi: 10.1016/j.pacs.2018.09.001. eCollection 2018 Dec.
8
Periodontitis and atherosclerotic cardiovascular disease: consensus report of the Joint EFP/AAPWorkshop on Periodontitis and Systemic Diseases.牙周炎与动脉粥样硬化性心血管疾病:欧洲牙周病学会/美国牙周病学会牙周炎与全身疾病联合研讨会共识报告
J Periodontol. 2013 Apr;84 Suppl 4S:S24-S29. doi: 10.1902/jop.2013.1340019.
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Linear-array photoacoustic imaging using minimum variance-based delay multiply and sum adaptive beamforming algorithm.基于最小方差的延迟乘法和求和自适应波束形成算法的线阵光声成像。
J Biomed Opt. 2018 Feb;23(2):1-15. doi: 10.1117/1.JBO.23.2.026002.
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Photoacoustic Imaging for Noninvasive Periodontal Probing Depth Measurements.用于无创牙周探诊深度测量的光声成像
J Dent Res. 2018 Jan;97(1):23-30. doi: 10.1177/0022034517729820. Epub 2017 Sep 7.

使用手持式和基于电机的光声超声成像系统进行运动补偿的无创牙周健康监测。

Motion-compensated noninvasive periodontal health monitoring using handheld and motor-based photoacoustic-ultrasound imaging systems.

作者信息

Mozaffarzadeh Moein, Moore Colman, Golmoghani Erfan Barzegar, Mantri Yash, Hariri Ali, Jorns Alec, Fu Lei, Verweij Martin D, Orooji Mahdi, de Jong Nico, Jokerst Jesse V

机构信息

Laboratory of Medical Imaging, Department of Imaging Physics, Delft University of Technology, 2628 CJ Delft, The Netherlands.

These authors contributed equally.

出版信息

Biomed Opt Express. 2021 Feb 23;12(3):1543-1558. doi: 10.1364/BOE.417345. eCollection 2021 Mar 1.

DOI:10.1364/BOE.417345
PMID:33796371
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7984772/
Abstract

Simultaneous visualization of the teeth and periodontium is of significant clinical interest for image-based monitoring of periodontal health. We recently reported the application of a dual-modality photoacoustic-ultrasound (PA-US) imaging system for resolving periodontal anatomy and periodontal pocket depths in humans. This work utilized a linear array transducer attached to a stepper motor to generate 3D images via maximum intensity projection. This prior work also used a medical head immobilizer to reduce artifacts during volume rendering caused by motion from the subject (e.g., breathing, minor head movements). However, this solution does not completely eliminate motion artifacts while also complicating the imaging procedure and causing patient discomfort. To address this issue, we report the implementation of an image registration technique to correctly align B-mode PA-US images and generate artifact-free 2D cross-sections. Application of the deshaking technique to PA phantoms revealed 80% similarity to the ground truth when shaking was intentionally applied during stepper motor scans. Images from handheld sweeps could also be deshaken using an LED PA-US scanner. In porcine mandibles, pigmentation of the enamel was well-estimated within 0.1 mm error. The pocket depth measured in a healthy human subject was also in good agreement with our prior study. This report demonstrates that a modality-independent registration technique can be applied to clinically relevant PA-US scans of the periodontium to reduce operator burden of skill and subject discomfort while showing potential for handheld clinical periodontal imaging.

摘要

同时可视化牙齿和牙周组织对于基于图像的牙周健康监测具有重要的临床意义。我们最近报道了一种双模态光声 - 超声(PA-US)成像系统在解析人体牙周解剖结构和牙周袋深度方面的应用。这项工作利用连接到步进电机的线性阵列换能器通过最大强度投影生成三维图像。这项前期工作还使用了医用头部固定器来减少在容积渲染过程中由于受试者运动(如呼吸、轻微头部移动)产生的伪影。然而,这种解决方案并不能完全消除运动伪影,同时还会使成像过程复杂化并导致患者不适。为了解决这个问题,我们报告了一种图像配准技术的实施,以正确对齐B模式PA-US图像并生成无伪影的二维横截面。将去抖动技术应用于PA体模显示,在步进电机扫描期间故意施加抖动时,与真实情况的相似度达到80%。使用手持扫描获得的图像也可以使用LED PA-US扫描仪进行去抖动处理。在猪下颌骨中,釉质色素沉着的估计误差在0.1毫米以内。在一名健康人类受试者中测量的牙周袋深度也与我们之前的研究结果高度一致。本报告表明,一种与模态无关的配准技术可应用于临床上相关的牙周PA-US扫描,以减轻操作人员的技术负担和受试者的不适,同时显示出在手持临床牙周成像方面的潜力。