A non-invasive technique for burn area measurement

The need for a reliable and accurate method for assessing the surface area of burn wounds currently exists in the branch of medicine involved with burn care and treatment. The percentage of the surface area is of critical importance in evaluating fluid replacement amounts and nutritional support during the 24 hours of postburn therapy. A noninvasive technique has been developed which facilitates the measurement of burn area. The method we shall describe is an inexpensive technique to measure the burn areas accurately. Our imaging system is based on a technique known as structured light. Most structured light computer imaging systems, including ours, use triangulation to determine the location of points in three dimensions as the intersection of two lines: a ray of light originating from the structured light projector and the line of sight determined by the location of the image point in the camera plane. The geometry used to determine 3D location by triangulation is identical to the geometry of other stereo-based vision system, including the human vision system. Our system projects a square grid pattern from 35mm slide onto the patient. The grid on the slide is composed of uniformly spaced orthogonal stripes which may be indexed by row and column. Each slide also has square markers placed in between time lines of the grid in both the horizontal and vertical directions in the center of the slide. Our system locates intersections of the projected grid stripes in the camera image and determines the 3D location of the corresponding points on the body by triangulation. Four steps are necessary in order to reconstruct 3D locations of points on the surface of the skin: camera and projector calibration; image processing to locate the grid intersections in the camera image; grid labeling to establish the correspondence between projected and imaged intersections; and triangulation to determine three-dimensional position. Three steps are required to segment burned portion in image: edge detection to get the strongest edges of the region; edge following to form a closed boundary; and region filling to identify the burn region. After combining the reconstructed 3D locations and segmented image, numerical analysis and geometric modeling techniques are used to calculate the burn area. We use cubic spline interpolation, bicubic surface patches and Gaussian quadrature double integration to calculate the burn wound area. The accuracy of this technique is demonstrated The benefits and advantages of this technique are, first, that we don’t have to make any assumptions about the shape of the human body and second, there is no need for either the Rule-of-Nines, or the weight and height of the patient. This technique can be used for human body shape, regardless of weight proportion, size, sex or skin pigmentation. The low cost, intuitive method, and demonstrated efficiency of this computer imaging technique makes it a desirable alternative to current methods and provides the burn care specialist with a sterile, safe, and effective diagnostic tool in assessing and investigating burn areas

A Methodology to Create 3D Body Models in Motion

[EN] Size, shape and posture are fundamental features of digital human models (DHM) to obtain accurate virtual simulations of the ergonomics of products and environments. Research on 3D body scanning, processing and modelling have enabled the generation of avatars representing specific populations and morphotypes in standing and seated postures being the basis to define size and shape of DHM. Posture is implemented with biomechanical models of the human movement. Most of the research is focused on posture control and movement tracking to analyze the variability in different contexts (e.g. driving, performing a working task). Motion capture technology used for this purpose, requires a limited number of sensors or reflective markers attached to the body according to the definition of body segments. 3D body scanning and motion capture are both technologies currently used to analyze human body shape and biomechanics to apply it to enhance digital human models. These technologies may converge on the so-called temporal 3D scanners or 4D scanners, a new technology recently developed to scan the body in motion. With this technology, it is possible to obtain sequences of dense 3D point clouds representing the movement of the body. In this paper, a novel methodology to create realistic 3D body models in motion is proposed. This method is supported by a new 4D scanning system (Move 4D) and a data driven-model. Move4D is a modular photogrammetry-based 4D scanning system. It consists of a set of 12 synchronized modules to scan full bodies with texture in motion. It can capture up to 180 fps with a resolution of 2 mm. The algorithms have been conceived and optimized to automatically process the series of raw point clouds captured. They rely on a data-driven body model including shape, pose and soft-tissue deformation trained with a large database and a deep learning model. The process is fully automatic and does not require any interactive landmarking or revision. The 3D outcome of this methodology is one noise-and artefact-free watertight mesh per frame and a model of shape, pose and soft-tissue that can be rigged with a 23-joint skeleton. This type of outcome permits their use for many applications such as simulations, augmented and virtual reality (AR/VR) or biomechanical analysis purposes.The research presented in this paper have been developed within the projects IMDEEA/2020/85 and MDEEA/2020/87. Funding requested to Instituto Valenciano de Competitividad Empresarial (IVACE), call for proposals 2020 for Technology Centers of the Comunitat Valenciana, co-funded by ERDF Funds, EU Operational Program of the Comunitat Valenciana 2014-2020.Parrilla Bernabé, E.; Ruescas, A.; Solves, J.; Ballester Fernandez, A.; Nacher Fernandez, B.; Alemany Mut, MS.; Garrido Jaen, JD. (2020). A Methodology to Create 3D Body Models in Motion. Springer. 309-314. https://doi.org/10.1007/978-3-030-51064-0_39S309314Scataglini, S., Paul, G.: DHM and Posturography. Academic Press, London (2019)Zakaria, N., Gupta, D.: Anthropometry, Apparel Sizing and Design. Woodhead Publishing, Cambridge (2019)Liberadzki, P., Adamczyk, M., Witkowski, M., Sitnik, R.: Structured-light-based system for shape measurement of the human body in motion. Sensors 18, 2827 (2018). https://doi.org/10.3390/s18092827Parrilla, E., Ballester, A., Parra, P., Ruescas, A., Uriel, J., Garrido, D., Alemany, S.: MOVE 4D: accurate high-speed 3D body models in motion. In: Proceedings of 3DBODY.TECH 2019, Lugano, Switzerland, 22–23 October 2019, pp. 30–32 (2019). https://doi.org/10.15221/19.03

Handheld 3D scanning system for in-vivo imaging of skin cancer

Postprint (published version

Micro Fourier Transform Profilometry (μ\muFTP): 3D shape measurement at 10,000 frames per second

Recent advances in imaging sensors and digital light projection technology have facilitated a rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be captured with improved resolution and accuracy. However, due to the large number of projection patterns required for phase recovery and disambiguation, the maximum fame rates of current 3D shape measurement techniques are still limited to the range of hundreds of frames per second (fps). Here, we demonstrate a new 3D dynamic imaging technique, Micro Fourier Transform Profilometry ($\mu$FTP), which can capture 3D surfaces of transient events at up to 10,000 fps based on our newly developed high-speed fringe projection system. Compared with existing techniques, $\mu$FTP has the prominent advantage of recovering an accurate, unambiguous, and dense 3D point cloud with only two projected patterns. Furthermore, the phase information is encoded within a single high-frequency fringe image, thereby allowing motion-artifact-free reconstruction of transient events with temporal resolution of 50 microseconds. To show $\mu$FTP's broad utility, we use it to reconstruct 3D videos of 4 transient scenes: vibrating cantilevers, rotating fan blades, bullet fired from a toy gun, and balloon's explosion triggered by a flying dart, which were previously difficult or even unable to be captured with conventional approaches.Comment: This manuscript was originally submitted on 30th January 1

3D body scanning and healthcare applications

Developed largely for the clothing industry, 3D body-surface scanners are transforming our ability to accurately measure and visualize a person's body size, shape, and skin-surface area. Advancements in 3D whole-body scanning seem to offer even greater potential for healthcare applications

Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery

One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-opera- tive morphology and motion of soft-tissues. This information is prerequisite to the registration of multi-modal patient-specific data for enhancing the surgeon’s navigation capabilites by observ- ing beyond exposed tissue surfaces and for providing intelligent control of robotic-assisted in- struments. In minimally invasive surgery (MIS), optical techniques are an increasingly attractive approach for in vivo 3D reconstruction of the soft-tissue surface geometry. This paper reviews the state-of-the-art methods for optical intra-operative 3D reconstruction in laparoscopic surgery and discusses the technical challenges and future perspectives towards clinical translation. With the recent paradigm shift of surgical practice towards MIS and new developments in 3D opti- cal imaging, this is a timely discussion about technologies that could facilitate complex CAS procedures in dynamic and deformable anatomical regions