Three-dimensional Imaging Technology Research Articles

The Value of Three-Dimensional Tomographic Ultrasound Imaging under Backpropagation Algorithm in the Local Staging Diagnosis of Cervical Cancer

Based on three-dimensional tomographic ultrasound imaging (TUI) of the backpropagation algorithm, this study evaluated the consistency of three-dimensional TUI technology, pelvic examination, and magnetic resonance imaging (MRI) technology in the local staging diagnosis of cervical cancer, aiming to explore the application value of TUI technology in local staging diagnosis of cervical cancer. The backpropagation algorithm was adopted to segment images, and 35 patients who were confirmed to be cervical cancer by tissue biopsy were included in this study. All selected patients underwent transvaginal TUI examination and pelvic MRI examination. Then, the 2010 Federation Internationale of Gynecologie and Obstetrigue (FIGO) was adopted to determine the clinical stage, and the K index and the percentage of consistency were calculated to evaluate the consistency between TUI and MRI. Comparison of tumor size measurements showed that obvious correlation could be found between MRI and three-dimensional TUI (r = 0.842; P < 0.001), MRI, and clinical examination (r = 0.654; P < 0.001) to the assessment of tumor size. In terms of parauterine invasion, there was a moderate consistency between pelvic examination and MRI (K = 0.413; 95% confidential interval (CI) = 0.085–0.762; the overall coincidence rate (OCR) = 78.0%), and there was good consistency between three-dimensional TUI and MRI (K = 0.655, 95% CI = 0.335–0.949; overall coincidence rate = 87.8%). In terms of vaginal infiltration, pelvic examination and MRI showed moderate consistency (K = 0.434; 95% CI = 0.119–0.733; the OCR = 74.2%), and three-dimensional TUI examination and MRI showed excellent consistency (K = 0.568, 95% CI = 0.274–0.881; the OCR = 81.9%). The accuracy of the backpropagation segmentation algorithm was 82%. The results revealed that the three-dimensional TUI technology and MRI showed a good consistency in assessing parauterine invasion of cervical cancer. When the tumor size was evaluated, there was a clear correlation between three-dimensional TUI scans and MRI. Therefore, three-dimensional TUI technology showed relatively high application value for the local stage of cervical cancer.

Present status and future directions - Minimal endodontic access cavities.

In the last decades, the move of medicine towards minimally invasive treatments is notorious and scientifically grounded. As dentistry naturally follows in its footsteps, minimal access preparation have also becume a trend topic in the endodontic field. This procedure aims to maximize preservation of dentine tissue backed up by the idea that this is an effective way to reduce the incidence of post-treatment tooth fracture. However, with the assessment of the body of evidence on this topic, it is possible to observe some key points (a) the demand for nomenclature standardization, (b) the requirement of specific tools such as ultra-flexible instruments, visual magnification, superior illumination, and three-dimensional imaging technology, (c) minimally invasive treatment does not seem to affect orifice location and mechanical preparation when using adequate armamentarium, but it (d) may impair adequate canal cleaning, disinfection and filling procedures, and also (e) it displays contradictory results regarding the ability to increase the tooth strengthen compared to the traditional access cavity. In spite of that, it is undeniable that methodological flaws of some benchtop studies using extracted teeth may be responsible for the conflicting data, thus triggering the need for more sophisticated devices/facilities and specifically designed research in an attempt to make clear the role of the access size/design on long-term teeth survival. Moreover, it is inevitable that a clinical approach such as minimal endodontic access cavities that demands complex tools and skilled and experienced operators bring to the fore doubts on its educational impact mainly when confronted with the conflicting scientific output, ultimately provoking a cost-benefit analysis of its implementation as a routine technique. In addition, this review discusses the ongoing scientific and clinical status of minimally invasive access cavities aiming to input an in-depth and unbiased view over the rationale behind them, uncovering not only the related conceptual and scientific flaws but also outlining future directions for research and clinical practices. The conclusions attempt to skip from passionate disputes highlighting the current body of evidence as weak and incomplete to guide decision making, demanding the development of a close-to-in situ laboratory model or a large and well-controlled clinical trial to solve this matter.

Impact of Superparamagnetic Iron Oxide Nanoparticles on THP-1 Monocytes and Monocyte-Derived Macrophages.

Superparamagnetic iron oxide nanoparticles (SPIONs) are currently under examination for magnetic particle imaging, which represents a radiation free technology for three-dimensional imaging with high sensitivity, resolution and imaging speed. SPIONs are rapidly taken up by monocytes and other phagocytes which carry them to the site of inflammation. Therefore, the SPION biocompatibility is an essential parameter for a widespread MPI usage. Many improvements are expected from SPION development and its applications for cell visualization, but the impact of MPI optimized dextran coated SPIONs on the cellular characteristics of monocytic cells has been poorly studied up to now. THP-1 monocytes, monocyte-derived macrophages (MDM) as well as peripheral blood monocytes were incubated with MPI-optimized dextran-coated SPIONs of a size between 83.5 and 86 nm. SPION uptake was measured by FITC fluorescence of labeled SPIONs and Prussian blue staining. The activation of monocytes and MDMs was evaluated by CD14, CD11b and CD86 in flow cytometry. The secretion of IL-1β, and IL-10 was analyzed in supernatants. SPIONs were rapidly taken up by monocytes and monocyte-derived macrophages while no decrease in cell viability was observed. Expression patterns of CD11b, CD14, and CD86 were not affected in THP-1 monocytes and MDMs. Monocyte differentiation in macrophages was hindered during SPION uptake. THP-1 monocytes as well as monocyte-derived macrophages showed significantly increased IL-1β and decreased IL-10 secretion by tendency after SPION treatment. Dextran-coated SPIONs showed a low cytotoxicity on monocytes but exert undesirable inflammatory side effects that have to be considered for imaging applications.

High-Performance Image Acquisition and Processing for Stereoscopic Diagnostic Systems with the Application of Graphical Processing Units.

In recent years, cinematography and other digital content creators have been eagerly turning to Three-Dimensional (3D) imaging technology. The creators of movies, games, and augmented reality applications are aware of this technology’s advantages, possibilities, and new means of expression. The development of electronic and IT technologies enables the achievement of a better and better quality of the recorded 3D image and many possibilities for its correction and modification in post-production. However, preparing a correct 3D image that does not cause perception problems for the viewer is still a complex and demanding task. Therefore, planning and then ensuring the correct parameters and quality of the recorded 3D video is essential. Despite better post-production techniques, fixing errors in a captured image can be difficult, time consuming, and sometimes impossible. The detection of errors typical for stereo vision related to the depth of the image (e.g., depth budget violation, stereoscopic window violation) during the recording allows for their correction already on the film set, e.g., by different scene layouts and/or different camera configurations. The paper presents a prototype of an independent, non-invasive diagnostic system that supports the film crew in the process of calibrating stereoscopic cameras, as well as analysing the 3D depth while working on a film set. The system acquires full HD video streams from professional cameras using Serial Digital Interface (SDI), synchronises them, and estimates and analyses the disparity map. Objective depth analysis using computer tools while recording scenes allows stereographers to immediately spot errors in the 3D image, primarily related to the violation of the viewing comfort zone. The paper also describes an efficient method of analysing a 3D video using Graphics Processing Unit (GPU). The main steps of the proposed solution are uncalibrated rectification and disparity map estimation. The algorithms selected and implemented for the needs of this system do not require knowledge of intrinsic and extrinsic camera parameters. Thus, they can be used in non-cooperative environments, such as a film set, where the camera configuration often changes. Both of them are implemented with the use of a GPU to improve the data processing efficiency. The paper presents the evaluation results of the algorithms’ accuracy, as well as the comparison of the performance of two implementations—with and without the GPU acceleration. The application of the described GPU-based method makes the system efficient and easy to use. The system can process a video stream with full HD resolution at a speed of several frames per second.

Three-dimensional printing: Fine-tuning of the face of pediatric dentistry

The incessant exploration of technology in the segment of health care and medicine has paved a way to herald the dawn of three-dimensional (3D) and four-dimensional imaging technologies in dentistry. 3D printing also referred to as solid free-form fabrication is a form of rapid prototyping that utilizes additive manufacturing technology in contrast to the subtractive technique of commonly used imaging technology like CAD/CAM. 3D printing has materialized the fabrication of custom-made products that eliminates the exhaustive artisanal labor techniques with reduced work time. It also escalated the accuracy and precision in the production of intricate human details. The purpose of this review is to procure the data summarizing the applications of novel 3D printing technique in the field of pediatric dentistry harnessing enhancement in technology. Furthermore, it compiles data from various clinical trials providing evidence-based approach for promoting the implementation of the techniques into practice.

Cloud-based Fusion Imaging Improves Operative Metrics During Fenestrated Endovascular Aneurysm Repair

Endovascular treatment of complex aortic pathology is associated with increases in procedural-related metrics including operative time and radiation exposure. Three-dimensional fusion imaging technology has decreased radiation dose and iodinated contrast use in endovascular aneurysm repair. The aim of this study is to report our institutional experience with use of a cloud-based fusion imaging platform in fenestrated endovascular aneurysm repair (FEVAR). A retrospective review of a prospectively maintained aortic database was performed to identify all patients who underwent commercially-available FEVAR (Zenith Fenestrated, Cook Medical, Bloomington, Ind) between 2013 and 2020, as well as all endovascular aneurysm repairs performed using Cydar EV Intelligent Maps (Cydar Medical, Cambridge, UK). The Cydar EV cohort was reviewed further to select all FEVAR performed with intelligent map guidance. Patient demographics, clinical, and procedural-related metrics were analyzed, with comparative analysis of FEVAR performed without and with the Cydar EV imaging platform. Patients were excluded from the comparative analysis if incomplete in the data set, or if documented history of prior open or endovascular abdominal aortic aneurysm repair. Over the 7-year study period 191 FEVAR were performed. The Cydar EV imaging platform was implemented in 2018 and used in 124 complex endovascular aneurysm repairs, including 69 consecutive FEVAR. A complete dataset was available on 137 FEVAR. With exclusions to select for de novo FEVAR, comparative analysis was performed on 53 FEVAR without and 63 with Cydar EV. Cohorts were similar with respect to patient demographics, medical comorbidities, and aortic aneurysm characteristics. No significant difference was noted between groups on major adverse postoperative events, length of stay, or length of intensive care unit stay. Use of the Cydar EV resulted in nonsignificant decreases in mean fluoroscopy time (69.3 minutes vs 66.2 minutes; P = .598), and a positive trend toward shorter operative times (204.4 minutes vs 186 minutes; P = .278). Notably, a statistically significant decrease in both iodinated contrast volume (104.7 mL vs 83.8 mL; P = .005), and patient radiation exposure via dose-area product (1,049,841 mGy/cm2 vs 630,990; P < .001) was observed in patients undergoing FEVAR with Cydar EV Intelligent Maps. Our aortic center has observed a trend toward shorter operative times, and significant decreased in both iodinated contrast use and radiation exposure during FEVAR with the use of Cydar EV Intelligent Maps. Intelligent map guidance improves the efficiency of complex endovascular aneurysm repair, providing a safer intervention for both patient and practitioner.

Three-dimensional nano-coherent diffraction imaging technology based on high order harmonic X-ray sources

Coherent diffractive imaging (CDI) using ultra-short wavelength light source has become an three-dimensional(3D) nanoimaging technique. In CDI, a target sample is first illuminated by a coherent EUV and soft X-ray light, then the diffraction pattern is recorded by using a charge coupled device (CCD), and finally the image of the sample is obtained based on the pattern by using a phase retrieval algorithm. Of the many currently available coherent EUV and soft X-ray light sources, the high-order harmonic generation (HHG) is the simplest in structure, the lowest in cost, and most compact in size. Therefore, it has become the most promising light source for CDI. Through years of development, HHG based CDI technique(HHG-CDI) has become an outstanding 3D nano-imaging technique with the advantages of no aberration, no damage, and no contact either, and it also possesses the extra-capabilities of probing the dynamics, chemical composition and quantum information in various semiconductor and quantum devices. We believe that the HHG-CDI will soon become a generic nano-imaging tool that can complement or even replace the matured nanoimaging techniques, such as atomic force, near field, X-ray, electron, or scanning tunneling microscopes.

Design of data acquisition system for geotechnical investigation

The types of geotechnical investigation data are rich and the amount of data is huge. The traditional data acquisition method needs to consume a lot of human and material resources, and the efficiency of data acquisition is low. Based on this, the optimal design of geotechnical investigation data acquisition system is proposed. The hardware of the system adopts BS architecture and the PC adopts SSH framework, which can improve the logic control ability of the system. The software of the system realizes the synchronous acquisition of field and office work by designing the data acquisition module; Analyze the attribute and logical relationship of the collected target data, and establish a system database to reflect the dynamic process of geotechnical investigation data collection; Combined with the principle of three-dimensional imaging technology, the survey data call function of the system is designed. The test shows that this data acquisition system runs faster and the accuracy of the acquisition results is high.

Advances in Three-Dimensional Imaging Technologies Based on Single-Camera Stereo Vision

Advances in Three-Dimensional Imaging Technologies Based on Single-Camera Stereo Vision

New views on three-dimensional imaging technologies for glaucoma: an overview.

Purpose of reviewTo summarize the literature on three-dimensional (3D) technological advances in ophthalmology, the quantitative methods associated with this, and their improved ability to help detect glaucoma disease progression.Recent findingsImprovements in measuring glaucomatous structural changes are the result of dual innovations in optical coherence tomography (OCT) imaging technology and in associated quantitative software.SummaryCompared with two-dimensional (2D) OCT parameters, newer 3D parameters provide more data and fewer artifacts.

Application of 3D Dynamic Image Technology in Industrial Products

Aiming at the problems of manual testing of industrial products, a measurement method of industrial products based on three-dimensional dynamic imaging technology is proposed. The products on the production line are dynamically photographed from different angles and within a certain period of time by using cameras. Then the obtained Image denoising processing and contour tracking based on chain code table and line segment table to obtain boundary information and regional information of each enclosed area of the image. Experimental tests show that the test accuracy of this method is 100%, which is suitable for real-time detection. Fully automated research on product testing provides the foundation.

Harnessing the Power of Hybrid Light Propagation Model for Three-Dimensional Optical Imaging in Cancer Detection.

Optical imaging is an emerging technology capable of qualitatively and quantitatively observing life processes at the cellular or molecular level and plays a significant role in cancer detection. In particular, to overcome the disadvantages of traditional optical imaging that only two-dimensionally and qualitatively detect biomedical information, the corresponding three-dimensional (3D) imaging technology is intensively explored to provide 3D quantitative information, such as localization and distribution and tumor cell volume. To retrieve these information, light propagation models that reflect the interaction between light and biological tissues are an important prerequisite and basis for 3D optical imaging. This review concentrates on the recent advances in hybrid light propagation models, with particular emphasis on their powerful use for 3D optical imaging in cancer detection. Finally, we prospect the wider application of the hybrid light propagation model and future potential of 3D optical imaging in cancer detection.

Analysis of college martial arts teaching posture based on 3D image reconstruction and wavelet transform

Martial arts is a traditional sports event of the Chinese nation, which carries history and culture. With the development of “Martial Arts on Campus Activities” in recent years, more and more schools have opened general martial arts courses. However, due to the more complex technical movements of martial arts, there are often varying degrees of gaps between the movements and standard movements. Based on this, this research introduces three-dimensional imaging technology on the basis of traditional physical education teaching methods, aiming to explore new martial arts teaching models through image reconstruction and posture analysis. First of all, in order to obtain a three-dimensional point cloud and three-dimensional line, this paper extracts and matches feature points and feature lines on the input image. Secondly, on the basis of obtaining dense matching and straight-line matching, this paper selects the image with the most feature line matching for reprojection. Wavelet transform is used in the process of image compression and coding, including signal decomposition and reconstruction steps. Finally, through the experimental test of martial arts teaching posture images in colleges and universities, it shows that the method of combining three-dimensional image reconstruction and wavelet transform proposed in this paper has good applicability and efficiency, and can provide a scientific reference for college martial arts teaching.

The Study of Three-Dimensional Fingerprint Recognition in Cultural Heritage

Fingerprints play a central role in any field where person identification is required. In forensics and biometrics, three-dimensional fingerprint-based imaging technologies, and corresponding recognition methods, have been vastly investigated. In cultural heritage, preliminary studies provide evidence that the three-dimensional impressions left on objects from the past (ancient fingerprints) are of paramount relevance to understand the socio-cultural systems of former societies, to possibly identify a single producer of multiple potteries, and to authenticate the artist of a sculpture. These findings suggest that the study of ancient fingerprints can be further investigated and open new avenues of research. However, the potential for capturing and analyzing ancient fingerprints is still largely unexplored in the context of cultural heritage research. In fact, most of the existing studies have focused on plane fingerprint representations and commercial software for image processing. Our aim is to outline the opportunities and challenges of digital fingerprint recognition in answering a range of questions in cultural heritage research. Therefore, we summarize the fingerprint-based imaging technologies, reconstruction methods, and analyses used in biometrics that could be beneficial to the study of ancient fingerprints in cultural heritage. In addition, we analyze the works conducted on ancient fingerprints from potteries and ceramic/fired clay sculptures. We conclude with a discussion on the open challenges and future works that could initiate novel strategies for ancient fingerprint acquisition, digitization, and processing within the cultural heritage community.

Microstructure investigation of plant architecture with X-ray microscopy

In recent years, the plant morphology has been well studied by multiple approaches at cellular and subcellular levels. Two-dimensional (2D) microscopy techniques offer imaging of plant structures on a wide range of magnifications for researchers. However, subcellular imaging is still challenging in plant tissues like roots and seeds. Here we use a three-dimensional (3D) imaging technology based on the X-ray microscope (XRM) and analyze several plant tissues from different plant species. The XRM provides new insights into plant structures using non-destructive imaging at high-resolution and high contrast. We also utilized a workflow aiming to acquire accurate and high-quality images in the context of the whole specimen. Multiple plant samples including rice, tobacco, Arabidopsis and maize were used to display the differences of phenotypes. Our work indicates that the XRM is a powerful tool to investigate plant microstructure in high-resolution scale. Our work also provides evidence that evaluate and quantify tissue specific differences for a range of plant species. We also characterize novel plant tissue phenotypes by the XRM, such as seeds in Arabidopsis, and utilize them for novel observation measurement. Our work represents an evaluated spatial and temporal resolution solution on seed observation and screening.

Photoelectric Sensor Circuit and Image Segmentation Method for Radar System

In this exploration, based on the principle and system parameters of laser three-dimensional (3D) radar imaging technology, the corresponding photoelectric sensor circuit scheme is formulated. The sense circuit of avalanche photon diode (APD) converts the signal through the transresistance amplifier circuit. Then, LMH6629 is selected as a precision amplifier with low input noise voltage and low input error current. The capacitance is used as a compensation element to compensate the phase. For the power supply scheme, choosing the mode of switching power supply and LDO to work together can improve the efficiency of power supply and reduce the output of current ripple. At the same time, semantic segmentation is carried out for the obtained photoelectric images. Based on the traditional spatial pyramid pooling algorithm, the fusion of mean intersection over union and cross information entropy loss function is introduced to improve the weight of local image region. In the experiment, Multisim software is used to simulate the circuit. The APD reverse bias voltage is set to 90 V, and the multiplication coefficient is 98.7. The feedback resistance, bandwidth, phase compensation capacitance and other parameters are further calculated. It is found that there is obvious self-excited phenomenon in the output waveform of the transresistance amplifier without phase compensation capacitor. When the feedback capacitance reaches 0.8 pF, the oscillation phenomenon is obviously reduced; further calculation shows that the bandwidth of transresistance amplifier is 230 MHz, and the noise of APD power supply is mainly caused by BUCK switching power supply switch when the bottom noise of oscilloscope is ignored. However, the noise is suppressed under the action of the back-end LDO device; after the loss function is introduced, the contour of the photoelectric image is preserved completely, and then the more accurate segmentation results are obtained.

OSCE 3D: a virtual clinical skills assessment tool for coronavirus pandemic times

Abstract: Introduction: In pandemic times, in which the “lockdown strategy” has been adopted, the use of innovations using technological resources such as the creation of instruments that can replace traditional teaching-learning methods in the training of health professionals is essential. Objective: the aim of this study was to develop and evaluate the usability of a realistic interactive simulation computer system using three-dimensional imaging technology and virtual reality with free-access computational tools available on the web. Methods: the development of a prototype (OSCE 3D) was based on the steps used for the construction of a “Serious Game” simulation software. The free-access version of the Unity Editor 3D platform (Unity Technologies, version 2018), used for developing educational games, the software GNU Image Manipulation Program (GIMP, version 2.10.12), Blender (version 2.79) and MakeHuman (version 1.1.1) were utilized for creating textures and building models of the 3D environments. An experimental phase was carried out to assess usability, through a questionnaire based on the System Usability Scale. The study was approved by the Research Ethics Committee of the institution and all participants signed the Informed Consent Form. Results: a total of 39 undergraduate medical students attending the 6th semester of a private university center of northeastern Brazil voluntarily participated in the evaluation of the OSCE 3D. The usability evaluation resulted in a mean score of 75.4 with a margin of error of 3.2, which is considered a good usability score according to the literature. Conclusions: this study allowed the development of a low-cost prototype, using a three-dimension realistic simulation system for clinical skills assessment. This product, even in the prototype phase, showed good usability.

OSCE 3D: a virtual clinical skills assessment tool for coronavirus pandemic times

Abstract: Introduction: In pandemic times, in which the “lockdown strategy” has been adopted, the use of innovations using technological resources such as the creation of instruments that can replace traditional teaching-learning methods in the training of health professionals is essential. Objective: the aim of this study was to develop and evaluate the usability of a realistic interactive simulation computer system using three-dimensional imaging technology and virtual reality with free-access computational tools available on the web. Methods: the development of a prototype (OSCE 3D) was based on the steps used for the construction of a “Serious Game” simulation software. The free-access version of the Unity Editor 3D platform (Unity Technologies, version 2018), used for developing educational games, the software GNU Image Manipulation Program (GIMP, version 2.10.12), Blender (version 2.79) and MakeHuman (version 1.1.1) were utilized for creating textures and building models of the 3D environments. An experimental phase was carried out to assess usability, through a questionnaire based on the System Usability Scale. The study was approved by the Research Ethics Committee of the institution and all participants signed the Informed Consent Form. Results: a total of 39 undergraduate medical students attending the 6th semester of a private university center of northeastern Brazil voluntarily participated in the evaluation of the OSCE 3D. The usability evaluation resulted in a mean score of 75.4 with a margin of error of 3.2, which is considered a good usability score according to the literature. Conclusions: this study allowed the development of a low-cost prototype, using a three-dimension realistic simulation system for clinical skills assessment. This product, even in the prototype phase, showed good usability.

Imaging Motion: A Comprehensive Review of Optical Coherence Tomography Angiography.

Optical coherence tomography (OCT) is a three-dimensional (3-D) optical imaging technology that provides noninvasive, micrometer resolution images of structural interiors within biological samples with an approximately 1~2 mm penetration depth. Over the last decades, advances in OCT have revolutionized biomedical imaging by demonstrating a potential of optical biopsy in preclinical and clinical settings. Recently, functional OCT imaging has shown a promise as angiography to visualize cell-perfused vasculatures in the tissue bed in vivo without requiring any exogenous contrast agents. This new technology termed OCT angiography (OCTA) possesses a unique imaging capability of delineating tissue morphology and blood or lymphatic vessels down to capillaries at real-time acquisition rates. For the past 10years since 2007, OCTA has been proven to be a useful tool to identify disorder or dysfunction in tissue microcirculation from both experimental animal studies and clinical studies in ophthalmology and dermatology. In this section, we overview about OCTA including a basic principle of OCTA explained with simple optical physics, and its scan protocols and post-processing algorithms for acquisition of angiography. Then, potential and challenge of OCTA for clinical settings are shown with outcomes of human studies.

Epipolar Geometry Guided Highly Robust Structured Light 3D Imaging

Structured light (SL) based three-dimensional (3D) imaging technology has been widely employed in many fields of computer vision. However, currently available SL based depth sensors are sensitive to imaging noises, which severely limits the performance of subsequent advanced vision tasks. In this letter, we propose a robust and practical SL illumination pattern coding method based on epipolar geometry. The proposed pattern can effectively alleviate coding redundancy in traditional global random speckle SL patterns and make the stereo matching more robust to noise. Meanwhile, this coding strategy supplies sufficient non-local similar blocks, which inspires us to propose a uni-direction block-stacking 3D filtering algorithm to further improve the 3D imaging quality. To verify the proposed algorithms, we developed a prototype using the off-the-shelf projector and camera. Both simulation and real scene experimental results show that the proposed methods can achieve high-quality 3D imaging performance under different noisy conditions.