Photoacoustic imaging of dental implants in a porcine jawbone ex vivo

Lee, Dong-Hyun; Park, Sungjo; Noh, Woo-Chang; Im, Jae-Seung; Kim, Chulhong

doi:10.1364/ol.42.001760

Cited by 19 publications

(17 citation statements)

References 25 publications

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“…This effect is broadly observed in various materials. Therefore, in addition to ferromagnetic specimens, other materials, such as bone 9 and titanium implants 23 , are suitable for detection using our method.…”

Section: Discussionmentioning

confidence: 99%

“…Benefiting from multiple physical effects during the generation and propagation of photoacoustic signals, PAI can extract various chemical and physical parameters of materials, such as chemical components 1 – 3 , velocity 4 , elasticity 5 – 8 , microstructure 9 – 11 and temperature 12 , thereby providing various imaging contrasts. These rich contrasts not only show great potential for the non-invasive characterization of materials 13 – 15 but also have valuable biomedical applications, including breast imaging 16 , vasculature visualization 17 , 18 , osteoarthritis assessment 19 , 20 , small-animal whole-body imaging 21 , 22 , dental implantation 23 , and drug delivery monitoring 24 .…”

Section: Introductionmentioning

confidence: 99%

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Noninvasive low-cycle fatigue characterization at high depth with photoacoustic eigen-spectrum analysis

Gao

Tao

Zhu

et al. 2018

Sci Rep

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In this work, photoacoustic eigen-spectrum analysis was proposed for noninvasively characterizing the mechanical properties of materials. We theoretically predicted the relationship between the photoacoustic eigen-spectra of cylindrical optical absorbers and their mechanical properties. Experimental measurements of eigen-spectra extracted from photoacoustic coda waves agreed well with the theoretical predictions. We then applied the photoacoustic eigen-spectrum analysis for contactless monitoring of low-cycle fatigue damage. Experiments showed that the photoacoustic eigen-spectra were closely related to the degree of low-cycle fatigue. This study might enhance the contrast of photoacoustic imaging ford mechanical characterization.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Noninvasive low-cycle fatigue characterization at high depth with photoacoustic eigen-spectrum analysis

Gao

Tao

Zhu

et al. 2018

Sci Rep

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“…There are limited reports of photoacoustics in dentistry, including implant characterization (Lee et al 2017) and caries identification (Cheng et al 2016). Smaller LED-based systems have recently been created with logarithmic reductions in cost and complexity.…”

Section: Discussionmentioning

confidence: 99%

Photoacoustic Imaging for Noninvasive Periodontal Probing Depth Measurements

et al. 2017

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The periodontal probe is the gold standard tool for periodontal examinations, including probing depth measurements, but is limited by systematic and random errors. Here, we used photoacoustic ultrasound for high-spatial resolution imaging of probing depths. Specific contrast from dental pockets was achieved with food-grade cuttlefish ink as a contrast medium. Here, 39 porcine teeth (12 teeth with artificially deeper pockets) were treated with the contrast agent, and the probing depths were measured with novel photoacoustic imaging and a Williams periodontal probe. There were statistically significant differences between the 2 measurement approaches for distal, lingual, and buccal sites but not mesial. Bland-Altman analysis revealed that all bias values were < ±0.25 mm, and the coefficients of variation for 5 replicates were <11%. The photoacoustic imaging approach also offered 0.01-mm precision and could cover the entire pocket, as opposed to the probe-based approach, which is limited to only a few sites. This report is the first to use photoacoustic imaging for probing depth measurements with potential implications to the dental field, including tools for automated dental examinations or noninvasive examinations.

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“…The use of PAI for implant monitoring has been previously explored in studies such as by Lee et al [ 59 ] ( Figure 7 ), who achieved reasonable ability to distinguish titanium implant covered by bone or meat, at depths relevant for dentistry applications. However, the depth penetration limit and noticeable optical attenuation makes it increasingly difficult to image the targets that are located deeper than 10–20 mm, limiting the clinical application of PAI to targets near the surface [ 60 ].…”

Section: Features Of the Imaging Techniquesmentioning

confidence: 99%

In Vivo Imaging of Biodegradable Implants and Related Tissue Biomarkers

et al. 2021

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Non-invasive longitudinal imaging of osseointegration of bone implants is essential to ensure a comprehensive, physical and biochemical understanding of the processes related to a successful implant integration and its long-term clinical outcome. This study critically reviews the present imaging techniques that may play a role to assess the initial stability, bone quality and quantity, associated tissue remodelling dependent on implanted material, implantation site (surrounding tissues and placement depth), and biomarkers that may be targeted. An updated list of biodegradable implant materials that have been reported in the literature, from metal, polymer and ceramic categories, is provided with reference to the use of specific imaging modalities (computed tomography, positron emission tomography, ultrasound, photoacoustic and magnetic resonance imaging) suitable for longitudinal and non-invasive imaging in humans. The advantages and disadvantages of the single imaging modality are discussed with a special focus on preclinical imaging for biodegradable implant research. Indeed, the investigation of a new implant commonly requires histological examination, which is invasive and does not allow longitudinal studies, thus requiring a large number of animals for preclinical testing. For this reason, an update of the multimodal and multi-parametric imaging capabilities will be here presented with a specific focus on modern biomaterial research.

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Photoacoustic imaging of dental implants in a porcine jawbone ex vivo

Cited by 19 publications

References 25 publications

Noninvasive low-cycle fatigue characterization at high depth with photoacoustic eigen-spectrum analysis

Noninvasive low-cycle fatigue characterization at high depth with photoacoustic eigen-spectrum analysis

Photoacoustic Imaging for Noninvasive Periodontal Probing Depth Measurements

In Vivo Imaging of Biodegradable Implants and Related Tissue Biomarkers

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