Handheld 3D Scanning System for In-Vivo Imaging of Skin Cancer

Ares, Miguel; Royo, Santiago; Vilaseca, Meritxell; Herrera, Jorge; Delpueyo, Xana; Sanabria, Ferran

doi:10.15221/14.231

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…Future work will be focused on increasing the sample set. Also, combining spectral and 3D data available from a former study [ 10 , 23 ] will increase noticeably the morphological and textural information of lesions and hopefully improve the sensitivity and specificity values. Moreover, usage of the proposed methodology may benefit from conjoint use with the VIS-NIR and exNIR modality to maximize specificity.…”

Section: Discussionmentioning

confidence: 99%

Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis

Rey-Barroso

Burgos-Fernández

Delpueyo

et al. 2018

Sensors

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With the goal of diagnosing skin cancer in an early and noninvasive way, an extended near infrared multispectral imaging system based on an InGaAs sensor with sensitivity from 995 nm to 1613 nm was built to evaluate deeper skin layers thanks to the higher penetration of photons at these wavelengths. The outcomes of this device were combined with those of a previously developed multispectral system that works in the visible and near infrared range (414 nm–995 nm). Both provide spectral and spatial information from skin lesions. A classification method to discriminate between melanomas and nevi was developed based on the analysis of first-order statistics descriptors, principal component analysis, and support vector machine tools. The system provided a sensitivity of 78.6% and a specificity of 84.6%, the latter one being improved with respect to that offered by silicon sensors.

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Section: Discussionmentioning

confidence: 99%

Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis

Rey-Barroso

Burgos-Fernández

Delpueyo

et al. 2018

Sensors

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“…Ares et al [ 64 ] developed a 3D scanner that incorporates two megapixel stereoscopic cameras, which are placed at a certain distance from each other and oriented at a specific angle. In the middle, they placed a picoprojector ( Figure 3 ).…”

Section: Three-dimensional Topographymentioning

confidence: 99%

Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review

Rey-Barroso

Peña-Gutiérrez

Yáñez

et al. 2021

Sensors

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The worldwide incidence of skin cancer has risen rapidly in the last decades, becoming one in three cancers nowadays. Currently, a person has a 4% chance of developing melanoma, the most aggressive form of skin cancer, which causes the greatest number of deaths. In the context of increasing incidence and mortality, skin cancer bears a heavy health and economic burden. Nevertheless, the 5-year survival rate for people with skin cancer significantly improves if the disease is detected and treated early. Accordingly, large research efforts have been devoted to achieve early detection and better understanding of the disease, with the aim of reversing the progressive trend of rising incidence and mortality, especially regarding melanoma. This paper reviews a variety of the optical modalities that have been used in the last years in order to improve non-invasive diagnosis of skin cancer, including confocal microscopy, multispectral imaging, three-dimensional topography, optical coherence tomography, polarimetry, self-mixing interferometry, and machine learning algorithms. The basics of each of these technologies together with the most relevant achievements obtained are described, as well as some of the obstacles still to be resolved and milestones to be met.

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“…Combining with texture mapping, the range of applications of the fringe projection technique is broadened, especially to fields such as virtual reality, [2][3][4] commercial advertisement and entertainment, 5 medical diagnosis, [6][7][8] cosmetics, 9 anthropology, 10 and cultural heritage preservation. [11][12][13][14] Many methods have been developed for acquiring the texture of a measured object.…”

Section: Introductionmentioning

confidence: 99%

Parallax correction of texture image in fringe projection profilometry

2015

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Abstract. In fringe projection profilometry, the measurement system generally consists of a projector for casting fringes onto a measured object and a monochrome camera for capturing the deformed fringe patterns. In addition to these components, we can add a color camera for capturing the texture of the object simultaneously. For implementing texture mapping on the reconstructed three-dimensional (3-D) surface, the parallax between the views of the texture camera and the measuring camera has to be corrected. For this purpose, we analyze the geometry of the fringe projection system with a color texture camera and further suggest a system calibration method. Using this method, the corresponding relationship between the texture and the 3-D data and the mapping relationship between the depths and the fringe phases are determined simultaneously, so that the duration time for the system calibration implementation is saved. The data processing with this method is of a low computational complexity because it involves only linear minimizations. Using the calibration results, we can transform the texture image from the view of the color camera to that of the measuring camera and precisely map it on the reconstructed object surface. Experimental results demonstrate that this method is effective in correcting the parallax of the texture image. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Handheld 3D Scanning System for In-Vivo Imaging of Skin Cancer

Cited by 6 publications

References 8 publications

Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis

Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis

Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review

Parallax correction of texture image in fringe projection profilometry

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