3D Shared Matting Method for Directly Extracting Standard Organ Models from Human Body Color Volume Image

2020 ◽  
Vol 16 (9) ◽  
pp. 1170-1181
Author(s):  
Bin Liu ◽  
Xiaolei Niu ◽  
Xiaohui Zhang ◽  
Song Zhang ◽  
Jianxin Zhang ◽  
...  
Keyword(s):  
Human Body ◽  
3D Models ◽  
Virtual Surgery ◽  
Local Smoothing ◽  
Image Matting ◽  
Human Organ ◽  
Body Organ ◽  
Organ Model ◽  
Organ Models ◽  
Unknown Region

Background: In some medical applications (e.g., virtual surgery), standard human organ models are very important and useful. Now that real human body slice image sets have been collected by several countries, it is possible to obtain real standard organ models. Introduction: Understanding how to abandon the traditional model construction method of Photoshop sketching slice by slice and directly extracting 3D models from volume images has been an interesting and challenging issue. In this paper, a 3D color volume image matting method has been proposed to segment human body organ models. Methods: First, the scope of the known area will be expanded by means of propagation. Next, neighborhood sampling to find the best sampling for voxels in an unknown region will be performed and then the preliminary opacity using the sampling results will be calculated. Results: The final result will be obtained by applying local smoothing to the image. Conclusion: From the experimental results, it has been observed that our method is effective for real standard organ model extraction.

Application of Topographical Capture Techniques for Modelling Virtual Reality

2013 ◽  
pp. 970-990
Author(s):  
Mercedes Farjas Abadía ◽  
Manuel Sillero Quintana ◽  
Pedro Ángel Merino Calvo
Keyword(s):  
Physical Activity ◽  
Virtual Reality ◽  
Human Body ◽  
Research Group ◽  
3D Models ◽  
Body Segments ◽  
The Road ◽  
Representation Systems ◽  
Human Figure ◽  
Capture Techniques

Since the dawn of time man has attempted to represent the human figure with techniques ranging from simple drawings to techniques that manage to reflect the movement of body segments. In parallel, cartographic techniques have developed very advanced capture and 3D representation systems, but even though they have been applied in recent years to other sciences, they have not been applied yet to virtual reality. The appearance of the laser acquisition systems has enabled us to acquire data without discrimination on points and to get quick 3D models. This situation allows us to work directly on the concept of surface and to analyze it from the uniqueness of the detail, compared to traditional systems which capture points for, later, imaging surfaces from them. Under this prism, a research group was formed by graduates in Physical Activity and Sport and in Cartography, in order to bring together both sciences and to improve techniques of capture and representation of the human body. The road is not completely gone, but some results have been obtained and are presented in this work.

scholarly journals A robotic platform for fluidically-linked human body-on-chips experimentation

2019 ◽  
Author(s):  
Richard Novak ◽  
Miles Ingram ◽  
Susan Clauson ◽  
Debarun Das ◽  
Aaron Delahanty ◽  
...  
Keyword(s):  
Human Body ◽  
Experimental System ◽  
Blood Substitute ◽  
Sample Collection ◽  
Human Organ ◽  
Non Invasive ◽  
Organ Specific ◽  
Repeated Sampling ◽  
Substitute Medium

Here we describe of an ‘Interrogator’ instrument that uses liquid-handling robotics, a custom software package, and an integrated mobile microscope to enable automated culture, perfusion, medium addition, fluidic linking, sample collection, andin situmicroscopic imaging of up to 10 Organ Chips inside a standard tissue culture incubator. The automated Interrogator platform maintained the viability and organ-specific functions of 8 different vascularized, 2-channel, Organ Chips (intestine, liver, kidney, heart, lung, skin, blood-brain barrier (BBB), and brain) for 3 weeks in culture when fluidically coupled through their endothelium-lined vascular channels using a common blood substitute medium. When an inulin tracer was perfused through the multi-organ Human Body-on-Chips (HuBoC) fluidic network, quantitative distributions of this tracer could be accurately predicted using a physiologically-based multi-compartmental reduced order (MCRO)in silicomodel of the experimental system derived from first principles. This automated culture platform enables non-invasive imaging of cells within human Organ Chips and repeated sampling of both the vascular and interstitial compartments without compromising fluidic coupling, which should facilitate future HuBoc studies and pharmacokinetics (PK) analysisin vitro.

scholarly journals Detailed 3D human body reconstruction from multi-view images combining voxel super-resolution and learned implicit representation

2021 ◽  
Author(s):  
Zhongguo Li ◽  
Magnus Oskarsson ◽  
Anders Heyden
Keyword(s):  
Human Body ◽  
Super Resolution ◽  
3D Models ◽  
Implicit Function ◽  
Implicit Representation ◽  
Multi Scale ◽  
Multi Stage ◽  
Synthetic Datasets ◽  
Human Body Models ◽  
Coarse To Fine

AbstractThe task of reconstructing detailed 3D human body models from images is interesting but challenging in computer vision due to the high freedom of human bodies. This work proposes a coarse-to-fine method to reconstruct detailed 3D human body from multi-view images combining Voxel Super-Resolution (VSR) based on learning the implicit representation. Firstly, the coarse 3D models are estimated by learning an Pixel-aligned Implicit Function based on Multi-scale Features (MF-PIFu) which are extracted by multi-stage hourglass networks from the multi-view images. Then, taking the low resolution voxel grids which are generated by the coarse 3D models as input, the VSR is implemented by learning an implicit function through a multi-stage 3D convolutional neural network. Finally, the refined detailed 3D human body models can be produced by VSR which can preserve the details and reduce the false reconstruction of the coarse 3D models. Benefiting from the implicit representation, the training process in our method is memory efficient and the detailed 3D human body produced by our method from multi-view images is the continuous decision boundary with high-resolution geometry. In addition, the coarse-to-fine method based on MF-PIFu and VSR can remove false reconstructions and preserve the appearance details in the final reconstruction, simultaneously. In the experiments, our method quantitatively and qualitatively achieves the competitive 3D human body models from images with various poses and shapes on both the real and synthetic datasets.

scholarly journals Teknik Marker Based Tracking Augmented Reality untuk Visualisasi Anatomi Organ Tubuh Manusia Berbasis Android

2018 ◽  
Vol 1 (1) ◽  
pp. 8-18 ◽  
Author(s):  
Ika Devi Perwitasari
Keyword(s):  
Augmented Reality ◽  
Human Body ◽  
Interface Design ◽  
Mobile Platform ◽  
Digital Content ◽  
Human Organs ◽  
Usability Test ◽  
Body Organ ◽  
The Brain ◽  
2D Images

This study aims to learn the technique of Marker Based Tracking Augmented Reality which is implemented for Visualization of Anatomy of Human Body Organs. Augmented Reality Visualization Applications Anatomy of the Human Body Organ is built on the Android mobile platform device. In the analysis of the application interface design using the approach of User Center Design. Testing the application using Usability Test. Based on the results of implementation and testing, Marker Based AR technique successfully applied in making Visualization Applications Anatomy Human Body Organs on Android Platform. Applications use markers to display digital content 2D images of the brain, eyes, heart, and lungs. The results of the Usability Test show users can see organ anatomy information very clearly and users are very interested in using the applications created because it provides a different experience in learning.Keywords : Augmented Reality, Marker Based Tracking, Human Organs, User Center Design

scholarly journals GAME PENGENALAN ORGAN TUBUH MANUSIA BERBASIS MULTIMEDIA MENGGUNAKAN STRUKTUR ALUR MULTIMEDIA HIERARKI

2021 ◽  
Vol 1 (1) ◽  
pp. 621-629
Author(s):  
Hamdan Hamdan ◽  
Umar Mansyuri ◽  
Beni Junedi
Keyword(s):  
Human Body ◽  
Game Design ◽  
Internal Organs ◽  
Application System ◽  
Human Organ ◽  
Adobe Flash ◽  
Human Organs ◽  
Printed Books ◽  
Learning Game ◽  
The Media

Natural science is the study of nature and all its contents in it, one of which studies the human body organs which are divided into two parts, namely internal organs and human external organs. The delivery of learning materials in schools is still conventional, namely using the media of printed books. The delivery media that is still conventional and many terms on the material of human organs cause students to have difficulty in understanding the material. There are many media that can be applied in learning human organs, one of which is by using learning game media. Game is a medium of delivery that is widely enjoyed by all people. So it is necessary to create an application system or multimedia-based learning game, as a solution to solving the problem of students' difficulties in understanding the material. Multimedia has aspects that are of interest to students because of its appearance in the form of images, animations, audio, and video. In designing this game, the human body uses a hierarchical multimedia flow structure, while the software used to build this game is Adobe Photoshop, Adobe Flash, and CorelDraw. The results of the game design will be implemented into a multimedia-based human organ recognition game using a multimedia hierarchy structure which is expected to be an effective way of delivering material in overcoming various problems that occur in learning human organs

scholarly journals An Individual Patient's “Body” on Chips—How Organismoid Theory Can Translate Into Your Personal Precision Therapy Approach

2021 ◽  
Vol 8 ◽  
Author(s):  
Uwe Marx ◽  
Enrico Accastelli ◽  
Rhiannon David ◽  
Hendrik Erfurth ◽  
Leopold Koenig ◽  
...  
Keyword(s):  
Human Body ◽  
Self Assembly ◽  
Three Dimensional ◽  
Disease Process ◽  
Egg Cell ◽  
Human Stem Cells ◽  
Human Organ ◽  
Cell Therapies ◽  
Precision Therapy

The first concepts for reproducing human systemic organismal biology in vitro were developed over 12 years ago. Such concepts, then called human- or body-on-a-chip, claimed that microphysiological systems would become the relevant technology platform emulating the physiology and morphology of human organisms at the smallest biologically acceptable scale in vitro and, therefore, would enable the selection of personalized therapies for any patient at unprecedented precision. Meanwhile, the first human organoids—stem cell-derived complex three-dimensional organ models that expand and self-organize in vitro—have proven that in vitro self-assembly of minute premature human organ-like structures is feasible, once the respective stimuli of ontogenesis are provided to human stem cells. Such premature organoids can precisely reflect a number of distinct physiological and pathophysiological features of their respective counterparts in the human body. We now develop the human-on-a-chip concepts of the past into an organismoid theory. We describe the current concept and principles to create a series of organismoids—minute, mindless and emotion-free physiological in vitro equivalents of an individual's mature human body—by an artificially short process of morphogenetic self-assembly mimicking an individual's ontogenesis from egg cell to sexually mature organism. Subsequently, we provide the concept and principles to maintain such an individual's set of organismoids at a self-sustained functional healthy homeostasis over very long time frames in vitro. Principles how to perturb a subset of healthy organismoids by means of the natural or artificial induction of diseases are enrolled to emulate an individual's disease process. Finally, we discuss using such series of healthy and perturbed organismoids in predictively selecting, scheduling and dosing an individual patient's personalized therapy or medicine precisely. The potential impact of the organismoid theory on our healthcare system generally and the rapid adoption of disruptive personalized T-cell therapies particularly is highlighted.

scholarly journals An information-theoretic approach for measuring the distance of organ tissue samples using their transcriptomic signatures

2020 ◽  
Author(s):  
Dimitris V. Manatakis ◽  
Aaron VanDevender ◽  
Elias S. Manolakos
Keyword(s):  
Ex Vivo ◽  
Practical Importance ◽  
Supplementary Information ◽  
Next Generation Sequencing Data ◽  
Theoretic Approach ◽  
Sequencing Data ◽  
Tissue Samples ◽  
Human Organ ◽  
Information Theoretic ◽  
Organ Models

AbstractMotivationRecapitulating aspects of human organ functions using in-vitro (e.g., plates, transwells, etc.), in-vivo (e.g., mouse, rat, etc.), or ex-vivo (e.g., organ chips, 3D systems, etc.) organ models are of paramount importance for precision medicine and drug discovery. It will allow us to identify potential side effects and test the effectiveness of therapeutic approaches early in their design phase and will inform the development of accurate disease models. Developing mathematical methods to reliably compare the “distance/similarity” of organ models from/to the real human organ they represent is an understudied problem with important applications in biomedicine and tissue engineering.ResultsWe introduce the Transctiptomic Signature Distance, TSD, an information-theoretic distance for assessing the transcriptomic similarity of two tissue samples, or two groups of tissue samples. In developing TSD, we are leveraging next-generation sequencing data and information retrieved from well-curated databases providing signature gene sets characteristic for human organs. We present the justification and mathematical development of the new distance and demonstrate its effectiveness in different scenarios of practical importance using several publicly available RNA-seq [email protected] informationSupplementary data are available at bioRxiv.

Sign in / Sign up

Export Citation Format

Share Document