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1.
Sci Rep ; 11(1): 21449, 2021 11 02.
Article in English | MEDLINE | ID: covidwho-1500502

ABSTRACT

The World Health Organisation has called for a 40% increase in personal protective equipment manufacturing worldwide, recognising that frontline workers need effective protection during the COVID-19 pandemic. Current devices suffer from high fit-failure rates leaving significant proportions of users exposed to risk of viral infection. Driven by non-contact, portable, and widely available 3D scanning technologies, a workflow is presented whereby a user's face is rapidly categorised using relevant facial parameters. Device design is then directed down either a semi-customised or fully-customised route. Semi-customised designs use the extracted eye-to-chin distance to categorise users in to pre-determined size brackets established via a cohort of 200 participants encompassing 87.5% of the cohort. The user's nasal profile is approximated to a Gaussian curve to further refine the selection in to one of three subsets. Flexible silicone provides the facial interface accommodating minor mismatches between true nasal profile and the approximation, maintaining a good seal in this challenging region. Critically, users with outlying facial parameters are flagged for the fully-customised route whereby the silicone interface is mapped to 3D scan data. These two approaches allow for large scale manufacture of a limited number of design variations, currently nine through the semi-customised approach, whilst ensuring effective device fit. Furthermore, labour-intensive fully-customised designs are targeted as those users who will most greatly benefit. By encompassing both approaches, the presented workflow balances manufacturing scale-up feasibility with the diverse range of users to provide well-fitting devices as widely as possible. Novel flow visualisation on a model face is presented alongside qualitative fit-testing of prototype devices to support the workflow methodology.


Subject(s)
Face/physiology , Personal Protective Equipment , Photogrammetry/methods , COVID-19/prevention & control , COVID-19/virology , Computer-Aided Design , Equipment Design , Face/anatomy & histology , Humans , Printing, Three-Dimensional , SARS-CoV-2/isolation & purification
2.
J Forensic Sci ; 66(4): 1533-1537, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1150072

ABSTRACT

As the coronavirus disease 2019 (COVID-19) pandemic forced universities to switch to distance online education, there was an urgent need to find some virtual/digital alternatives in order to continue teaching. Opportunities such as watching pre-recorded autopsy videos or creating and analyzing post-mortem computed tomography or magnetic resonance imaging with various 3D surface imaging techniques are usually time-consuming and cost-intensive. Photogrammetry, which allows the creation of 3D textured surface models from a series of overlapping photographs taken from varying viewpoints, is a less common approach compared with post-mortem imaging. We created 3D autopsy case models for a special online forensic pathology course in which students could try the models. Then, formal feedback was requested regarding the possible application of this method in education. Most of the students were satisfied with the new method and ranked photogrammetry higher than the other available methods. Our results indicate that photogrammetry has a high potential in undergraduate education, especially in the case of distance education or in those countries where declining autopsy rates have resulted in a decline in the use of the autopsy as an educational tool. Photogrammetry can also be used as a supplementary tool in traditional autopsy-based education and has potential applications in various fields of medical education.


Subject(s)
Education, Distance/methods , Education, Medical/methods , Forensic Pathology/education , Photogrammetry/methods , Autopsy/methods , Humans , Hungary , Surveys and Questionnaires
3.
PLoS One ; 15(12): e0243388, 2020.
Article in English | MEDLINE | ID: covidwho-1067393

ABSTRACT

The use of high quality facemasks is indispensable in the light of the current COVID pandemic. This study proposes a fully automatic technique to design a face specific mask. Through the use of stereophotogrammetry, computer-assisted design and three-dimensional (3D) printing, we describe a protocol for manufacturing facemasks perfectly adapted to the individual face characteristics. The face specific mask was compared to a universal design of facemask and different filter container's designs were merged with the mask body. Subjective assessment of the face specific mask demonstrated tight closure at the nose, mouth and chin area, and permits the normal wearing of glasses. A screw-drive locking system is advised for easy assembly of the filter components. Automation of the process enables high volume production but still allows sufficient designer interaction to answer specific requirements. The suggested protocol can be used to provide more comfortable, effective and sustainable solution compared to a single use, standardized mask. Subsequent research on printing materials, sterilization technique and compliance with international regulations will facilitate the introduction of the face specific mask in clinical practice as well as for general use.


Subject(s)
Computer-Aided Design , Masks , Printing, Three-Dimensional , COVID-19/epidemiology , COVID-19/prevention & control , Face/anatomy & histology , Face/diagnostic imaging , Humans , Imaging, Three-Dimensional/methods , Pandemics/prevention & control , Photogrammetry/methods , Proof of Concept Study , Universal Design
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