Handheld Optical System for Pectus Excavatum Assessment

Servi, Michaela; Zulli, Andrea; Volpe, Yary; Furferi, Rocco; Puggelli, Luca; Messineo, Antonio; Ghionzoli, Marco; Facchini, Flavio

doi:10.3390/app11041726

Cited by 4 publications

(5 citation statements)

References 27 publications

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“…The disruptive technology theory is usually applied in business and innovation management research and is less frequently applied in technical contexts or for examining new energy technologies. In broader context, technology-and disruption-focused scholars currently pay attention to digital solutions (e.g., [21][22][23][24][25]), and there are few similar disruption-focused studies in energy research (e.g., [26][27][28][29]). For example, Ullah et al [30] examined the adoption of blockchain technology for energy management in developing countries discussing the distributed ledger technology as disruptive.…”

Section: Introductionmentioning

confidence: 99%

Disruption Potential Assessment of the Power-to-Methane Technology

2021

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Power-to-methane (P2M) technology is expected to have a great impact on the future of the global energy sector. Despite the growing amount of related research, its potential disruptive impact has not been assessed yet. This could significantly influence investment decisions regarding the implementation of the P2M technology. Based on a two-year-long empirical research, the paper focuses on exploring the P2M technology deployment potential in different commercial environments. Results are interpreted within the theoretical framework of disruptiveness. It is concluded that P2M has unique attributes because of renewable gas production, grid balancing, and combined long-term energy storage with decarbonization, which represent substantial innovation. Nevertheless, empirical data suggest that the largest P2M plants can be deployed at industrial facilities where CO2 can be sourced from flue gas. Therefore, a significant decrease of carbon capture technology related costs could enable the disruption potential of the P2M technology in the future, along with further growth of renewable energy production, decarbonization incentives, and significant support of the regulatory environment.

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Section: Introductionmentioning

confidence: 99%

Disruption Potential Assessment of the Power-to-Methane Technology

2021

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“…These studies have proposed several new severity indices, which expand the definition of HI. Instead, other studies have adapted the CI to optical scanning (Lain et al , 2017; Uccheddu et al , 2018; Servi et al , 2020a, 2020b, 2020c, Daemen et al , 2021a, 2021b, 2021c, Fuentes et al , 2021; Servi et al , 2021), also in this case defining a new set of indices. Studies that proposed alternative indices are (Lain et al , 2017) that introduced the “Banana Index” and the “Titanic Index” (Figure 5a and Figure 5b), (Bliss et al , 2019) that used the “Pectus Surface area” and the “Pectus surface Volume ratio”, (Scalabre et al , 2019) that introduced the “External Anthropometric Index” and “External Asymmetry Index”, (Servi et al , 2020a, 2020b, 2020c) that used “Width”, “Area”, “External Asymmetry Index” and “External Eccentricity Index”.…”

Section: Reverse Engineering and Additive Manufacturing-based Innovat...mentioning

confidence: 99%

“…The second category of targets is the main topic of Glinkowski et al (2009), Lain et al (2017), Uccheddu et al (2018), Kidane et al (2019), Deng et al (2020a, 2020b), Song et al (2020), Servi et al (2021). Perez et al (2006) analyzed the accuracy, resolution and repeatability of the VistusSmart (Human Solutions; Kaiserslautern), concluding that the 3D scanner is suitable for tracking the progression of the deformity and to analyze pre- and post-surgical pathological condition.…”

Section: Reverse Engineering and Additive Manufacturing-based Innovat...mentioning

confidence: 99%

“…The study showed that the three scanners are comparable in terms of reproducibility, but only the Artec Leo and 3dMD can be considered clinically accurate (with mean accuracies of 0.81 ± 0.71 mm and 0.89 ± 0.66 mm, respectively). On the other hand, several studies (Glinkowski et al , 2009; Lain et al , 2017; Uccheddu et al , 2018; Kidane et al , 2019; Deng et al , 2020a, 2020b, Song et al , 2020; Servi et al , 2021) proposed ad-hoc devices for chest acquisition, combining commercial devices (including Microsoft Kinect v1, Microsoft Kinect v2, Intel RealSense D415) with hardware structures specifically designed to better acquire the region of interest. The realized devices can be divided into multi-camera (Glinkowski et al , 2009; Lain et al , 2017) or single-camera (Uccheddu et al , 2018; Kidane et al , 2019; Deng et al , 2020a, 2020b, Song et al , 2020; Servi et al , 2021) scanners with manual (Deng et al , 2020a, 2020b, Servi et al , 2021), or automatic (Glinkowski et al , 2009; Lain et al , 2017; Uccheddu et al , 2018; Kidane et al , 2019; Song et al , 2020) handling.…”

Section: Reverse Engineering and Additive Manufacturing-based Innovat...mentioning

confidence: 99%

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Assessment and treatment of pectus deformities: a review of reverse engineering and 3D printing techniques

Mussi

Servi

Facchini

et al. 2022

RPJ

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Purpose Among thoracic malformations, pectus deformities have the highest incidence and can result in a wide range of severe and mild clinical manifestations. Recently, the treatment of pectus deformities is shifting from traditional approaches toward customized solutions. This occurs by leveraging innovative rapid prototyping tools that allow for the design and fabrication of patient-specific treatments and medical devices. This paper aims to provide a comprehensive view of the growing literature in this area to analyze the progress made in this direction. Design/methodology/approach The search was performed on major search engines through keywords inherent to reverse engineering (RE) and additive manufacturing (AM) technologies applied to pectus deformities and related treatments, selecting 54 papers. These were analyzed according to the addressed pathology, the hardware and software tools used and/or implemented and their integration within the clinical pathway. Findings First, the analysis led to analyze and divide the papers according to how RE and AM technologies are applied for surgical and non-surgical treatments, pathological assessment and preoperative simulation and planning. Second, all papers were considered within the typical rapid prototyping framework consisting of the three phases of three-dimensional (3D) scanning, 3D modelling and 3D printing. Originality/value To the best of the authors’ knowledge, to date, no survey has provided a comprehensive view of innovative and personalized treatment strategies for thoracic malformations; the present work fills this gap, allowing researchers in this field to have access to the most promising findings on the treatment and evaluation of pathology.

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“…We used a standard thorax model from Ercleve [24] as a reference to determine thoracic abnormalities in COVID-19 sufferers. Several other research that use thorax imagery in identifying COVID-19 are the use of the internet of things (IoT) [25], adaptive stratification [26], social approachment [27], blood cell ratio [28], thoraxic surgery [29], tomography images [30], otolaryngology surgery [31], handheld optical system [32], SOM-LWL method [33], therapeutic effects [34], upper respiratory tract [35].…”

Section: Introductionmentioning

confidence: 99%

Morphological characteristics of X-ray thorax images of COVID-19 patients using the Bradley thresholding segmentation

Supriyanti

Alqaaf

Ramadhani

et al. 2021

IJEECS

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The coronavirus disease 2019 (COVID-19) pandemic has made test screening much needed. Currently, the most commonly used is the swab type. Although in fact, there is also a screening method with chest radiology. The purpose of this study is to develop a COVID-19 early detection system based on X-ray images of the patient's thorax in the form of a computer-aided diagnosis. This case is based on the fact that X-ray modalities are available in several health care centers in Indonesia, compared to other modalities such as computed tomography (CT) scan or magnetic resonance imaging (MRI). In this paper, we emphasize the X-ray thorax image segmentation process to explore the morphological information of the thorax. We use the Bradley thresholding segmentation method. The results obtained are promising to be further developed with a performance percentage of 73.33% for the thorax for COVID-19 patients and 54% for the thorax for normal patients.

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Handheld Optical System for Pectus Excavatum Assessment

Cited by 4 publications

References 27 publications

Disruption Potential Assessment of the Power-to-Methane Technology

Disruption Potential Assessment of the Power-to-Methane Technology

Assessment and treatment of pectus deformities: a review of reverse engineering and 3D printing techniques

Morphological characteristics of X-ray thorax images of COVID-19 patients using the Bradley thresholding segmentation

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