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Journal articles on the topic 'Images 2D - Modèles 3D'

Author: Grafiati

Published: 13 July 2024

Last updated: 31 July 2025

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1

Djroh, Simon Pierre, Ehui Beh Jean Constantin Aka, Yacouba Ouattara, Serge P. Dégine Gnoleba, Yaba Mariana Aimée Ahade, and Loukou Nicolas Kouame. "Tomographie électrique et estimation des réser ves de Granite pour une exploitation de carrière à Brofodoume, Sud-Est de la Côte d’Ivoire." Journal of the Cameroon Academy of Sciences 18, no. 2 (2022): 437–46. http://dx.doi.org/10.4314/jcas.v18i2.4.

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La quantification de matériaux granitiques est primordiale pour une exploitation rationnelle de carrière afin de fournir les granulats nécessaires pour les travaux d’infrastructure pour l’expansion de la ville d’Abidjan. Cette étude, réalisée à Brofodoumé, présente une autre approche dans l’évaluation du potentiel granitique par la tomographie électrique 2D. Cette technique consiste à explorer le sous-sol par la mesure des contrastes de résistivité électrique avec la configuration poly-pôles à pas multiples. Les résultats obtenus sont des sections images 2D dont l’analyse montre que la profond

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Wang, Yong Sheng. "Fast 3D Human Face Modeling Method Based on Multiple View 2D Images." Applied Mechanics and Materials 273 (January 2013): 796–99. http://dx.doi.org/10.4028/www.scientific.net/amm.273.796.

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This paper presents a novel approach to model 3D human face from multiple view 2D images in a fast mode. Our proposed method mainly includes three steps: 1) Face Recognition from 2D images, 2) Converting 2D images to 3D images, 3) Modeling 3D human face. To extract visual features of both 2D and 3D images, visual features adopted in 3D are described by Point Signature, and visual features utilized in 2D is represented by Gabor filter responses. Afterwards, 3D model is obtained by combining multiple view 2D images through calculating projections vector and translation vector. Experimental resul

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Holzleitner, Iris J., Alex L. Jones, Kieran J. O’Shea, et al. "Do 3D Face Images Capture Cues of Strength, Weight, and Height Better than 2D Face Images do?" Adaptive Human Behavior and Physiology 7, no. 3 (2021): 209–19. http://dx.doi.org/10.1007/s40750-021-00170-8.

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Abstract Objectives A large literature exists investigating the extent to which physical characteristics (e.g., strength, weight, and height) can be accurately assessed from face images. While most of these studies have employed two-dimensional (2D) face images as stimuli, some recent studies have used three-dimensional (3D) face images because they may contain cues not visible in 2D face images. As equipment required for 3D face images is considerably more expensive than that required for 2D face images, we here investigated how perceptual ratings of physical characteristics from 2D and 3D fa

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Takeuchi, Hironori, Kenji Matsuura, Tetsushi Ueta, and Tomohito Wada. "Development of a Support System for Recalling 3D Vision from a 2D Plane." Journal of Educational Multimedia and Hypermedia 32, no. 1 (2025): 5–34. https://doi.org/10.70725/014177zoxurj.

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Basketball tactical patterns are typically taught using tools such as 2D tactical boards. Rapid decision-making in a team depends on the ability to connect two-dimensional (2D) third-person positions with three-dimensional (3D) first-person perspectives. This study develops a support system that offers a virtual environment to enhance the efficient recall of 3D vision from a 2D board. The proposed system generates static or dynamic 3D visualizations based on 2D inputs. A total of 30 volunteers participated in this study and were randomly assigned to groups that received either 2D images, stati

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Delvit, Jean-Marc, and Céline L'Helguen. "Observer la Terre en 3D avec Pléiades-HR." Revue Française de Photogrammétrie et de Télédétection, no. 209 (January 29, 2015): 11–16. http://dx.doi.org/10.52638/rfpt.2015.155.

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La connaissance de modèles numériques d'élévation est un élément essentiel pour un grand nombre d'applications de télédétection, notamment à très haute résolution. Cette information d'élévation peut être déduite de couples d'images stéréoscopiques en combinant des techniques photogrammétriques et des techniques de type corrélation. L'amélioration de la résolution des système spatiaux d'observation de la Terre, comme PleiadesHR (pas d'échantillonnage au sol de 70 cm) ainsi que les capacités croissantes d'acquisitions en mode stéréoscopique et multi-stéréoscopique permettent de générer de manièr

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Nomura, Kosuke, Mitsuru Kaise, Daisuke Kikuchi, et al. "Recognition Accuracy Using 3D Endoscopic Images for Superficial Gastrointestinal Cancer: A Crossover Study." Gastroenterology Research and Practice 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/4561468.

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Aim. To determine whether 3D endoscopic images improved recognition accuracy for superficial gastrointestinal cancer compared with 2D images.Methods. We created an image catalog using 2D and 3D images of 20 specimens resected by endoscopic submucosal dissection. The twelve participants were allocated into two groups. Group 1 evaluated only 2D images at first, group 2 evaluated 3D images, and, after an interval of 2 weeks, group 1 next evaluated 3D and group 2 evaluated 2D images. The evaluation items were as follows: (1) diagnostic accuracy of the tumor extent and (2) confidence levels in asse

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Hirano, Daisuke, Yusuke Funayama, and Takashi Maekawa. "3D Shape Reconstruction from 2D Images." Computer-Aided Design and Applications 6, no. 5 (2009): 701–10. http://dx.doi.org/10.3722/cadaps.2009.701-710.

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Szymczyk, Piotr. "Obtaining 3D information from 2D images." ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA 1, no. 6 (2014): 49–52. http://dx.doi.org/10.15199/ele-2014-041.

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Kim, Tae Heon, Yoon Jae Kim, and Hyun Soo Ko. "A Study on the Comparison of Quantitative Evaluation of Uptake Ratio in 2D Planar and Auto Lung 3D Images Using SPECT/CT in Pulmonary Ventilation/Perfusion Scan." Korean Journal of Nuclear Medicine Technology 28, no. 2 (2024): 131–42. https://doi.org/10.12972/kjnmt.20240018.

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Purpose: The pulmonary ventilation/perfusion scan is used to detect pulmonary embolism before transplantation and to evaluate lung function after transplantation. Pulmonary scans can be performed using two methods: 2D planar imaging and 3D SPECT. In the case of 2D imaging, there are inherent limitations due to the overlap of anatomical lobes. Therefore, in this study, we aimed to compare the uptake ratio results between two methods: the traditional approach using 2D images to classify the lungs into three equal regions of interest (ROI) and the method using 3D SPECT/CT images with Siemens Syng

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Sun, Haoran. "A Review of 3D-2D Registration Methods and Applications based on Medical Images." Highlights in Science, Engineering and Technology 35 (April 11, 2023): 200–224. http://dx.doi.org/10.54097/hset.v35i.7055.

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The registration of preoperative three-dimensional (3D) medical images with intraoperative two-dimensional (2D) data is a key technology for image-guided radiotherapy, minimally invasive surgery, and interventional procedures. In this paper, we review 3D-2D registration methods using computed tomography (CT) and magnetic resonance imaging (MRI) as preoperative 3D images and ultrasound, X-ray, and visible light images as intraoperative 2D images. The 3D-2D registration techniques are classified into intensity-based, structure-based, and gradient-based according to the different registration fea

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Brownhill, Daniel, Yachin Chen, Barbara A. K. Kreilkamp, et al. "Automated subcortical volume estimation from 2D MRI in epilepsy and implications for clinical trials." Neuroradiology 64, no. 5 (2021): 935–47. http://dx.doi.org/10.1007/s00234-021-02811-x.

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Abstract Purpose Most techniques used for automatic segmentation of subcortical brain regions are developed for three-dimensional (3D) MR images. MRIs obtained in non-specialist hospitals may be non-isotropic and two-dimensional (2D). Automatic segmentation of 2D images may be challenging and represents a lost opportunity to perform quantitative image analysis. We determine the performance of a modified subcortical segmentation technique applied to 2D images in patients with idiopathic generalised epilepsy (IGE). Methods Volume estimates were derived from 2D (0.4 × 0.4 × 3 mm) and 3D (1 × 1x1m

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Park, Minsoo, Hang-Nga Mai, Mai Yen Mai, Thaw Thaw Win, Du-Hyeong Lee, and Cheong-Hee Lee. "Intra- and Interrater Agreement of Face Esthetic Analysis in 3D Face Images." BioMed Research International 2023 (April 10, 2023): 1–7. http://dx.doi.org/10.1155/2023/3717442.

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The use of three-dimensional (3D) facial scans for facial analysis is increasing in maxillofacial treatment. The aim of this study was to investigate the consistency of two-dimensional (2D) and 3D facial analyses performed by multiple raters. Six men and four women (25–36-year-old) participated in this study. The 2D images of the smiling and resting faces in the frontal and sagittal planes were obtained. The 3D facial and intraoral scans were merged to generate virtual 3D faces. Ten clinicians performed facial analyses by investigating 14 indices of 2D and 3D faces. Intra- and interrater agree

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Esan, Dorcas Oladayo, Pius Adewale Owolawi, and Chunling Tu. "Advanced 3D Artistic Image Generation with VAE-SDFCycleGAN." Journal of Information Systems and Informatics 6, no. 4 (2024): 2508–24. https://doi.org/10.51519/journalisi.v6i4.900.

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Generation of a 3-dimensional (3D)-based artistic image from a 2-dimensional (2D) image using a generative adversarial network (GAN) framework is challenging. Most existing artistic GAN-based frameworks lack robust algorithms lack suitable 3D data representations that can fit into GAN to produce high-quality 3D artistic images. To produce 3D artistic images from 2D image that considerably improves scalability and visual quality, this research integrates innovative variational autoencoder signed distance function, cycle generative adversarial network (VAE-SDFCycleGAN). The proposed method feeds

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Kim, Hyungsuk, Chang Hyun Yoo, Soo Bin Park, and Hyun Seok Song. "Difference in glenoid retroversion between two-dimensional axial computed tomography and three-dimensional reconstructed images." Clinics in Shoulder and Elbow 23, no. 2 (2020): 71–79. http://dx.doi.org/10.5397/cise.2020.00122.

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Background: The glenoid version of the shoulder joint correlates with the stability of the glenohumeral joint and the clinical results of total shoulder arthroplasty. We sought to analyze and compare the glenoid version measured by traditional axial two-dimensional (2D) computed tomography (CT) and three-dimensional (3D) reconstructed images at different levels.Methods: A total of 30 cases, including 15 male and 15 female patients, who underwent 3D shoulder CT imaging was randomly selected and matched by sex consecutively at one hospital. The angular difference between the scapular body axis a

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Sudjai, Narumol, Palanan Siriwanarangsun, Nittaya Lektrakul, et al. "Robustness of Radiomic Features: Two-Dimensional versus Three-Dimensional MRI-Based Feature Reproducibility in Lipomatous Soft-Tissue Tumors." Diagnostics 13, no. 2 (2023): 258. http://dx.doi.org/10.3390/diagnostics13020258.

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This retrospective study aimed to compare the intra- and inter-observer manual-segmentation variability in the feature reproducibility between two-dimensional (2D) and three-dimensional (3D) magnetic-resonance imaging (MRI)-based radiomic features. The study included patients with lipomatous soft-tissue tumors that were diagnosed with histopathology and underwent MRI scans. Tumor segmentation based on the 2D and 3D MRI images was performed by two observers to assess the intra- and inter-observer variability. In both the 2D and the 3D segmentations, the radiomic features were extracted from the

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Abdelwahab, Hussein. "Comparison of 2D and 3D Resistivity Imaging Methods in the Study of Shallow Subsurface Structures." Greener Journal of Physical Sciences 3, no. 4 (2013): 149–58. https://doi.org/10.5281/zenodo.3444322.

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2D and 3D resistivity imaging methods are simple, fast, inexpensive, and relatively accurate techniques used in geophysics exploration. In this study, 2D and 3D resistivity imaging methods are used to produce images of the subsurface structure of the University of Technology in Baghdad, Iraq. Three 2D images are utilized to create a 3D slice image and a 3D block image for three conventional arrays. Each 2D image has a length of 60m and a depth of approximately 12m, and the spacing between lines is 1.5m. Results show that the study area consists of two types of material: sandy gravel and clay.

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Visutsak, Porawat, Xiabi Liu, Chalothon Choothong, and Fuangfar Pensiri. "SIFT-Based Depth Estimation for Accurate 3D Reconstruction in Cultural Heritage Preservation." Applied System Innovation 8, no. 2 (2025): 43. https://doi.org/10.3390/asi8020043.

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This paper describes a proposed method for preserving tangible cultural heritage by reconstructing a 3D model of cultural heritage using 2D captured images. The input data represent a set of multiple 2D images captured using different views around the object. An image registration technique is applied to configure the overlapping images with the depth of images computed to construct the 3D model. The automatic 3D reconstruction system consists of three steps: (1) Image registration for managing the overlapping of 2D input images; (2) Depth computation for managing image orientation and calibra

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Jiao, Yuzhong, Kayton Wai Keung Cheung, Mark Ping Chan Mok, and Yiu Kei Li. "Spatial Distance-based Interpolation Algorithm for Computer Generated 2D+Z Images." Electronic Imaging 2020, no. 2 (2020): 140–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.2.sda-140.

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Computer generated 2D plus Depth (2D+Z) images are common input data for 3D display with depth image-based rendering (DIBR) technique. Due to their simplicity, linear interpolation methods are usually used to convert low-resolution images into high-resolution images for not only depth maps but also 2D RGB images. However linear methods suffer from zigzag artifacts in both depth map and RGB images, which severely affects the 3D visual experience. In this paper, spatial distance-based interpolation algorithm for computer generated 2D+Z images is proposed. The method interpolates RGB images with

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Monfort, Tual, Salvatore Azzollini, Nathaniel Norberg, Olivier Thouvenin, and Kate Grieve. "Imagerie 3D en direct : la tomographie par cohérence optique dynamique." Photoniques, no. 127 (2024): 32–36. http://dx.doi.org/10.1051/photon/202412737.

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Pour accompagner la révolution des cultures cellulaires dérivées de cellules souches pluripotentes humaines, qui permettent la modélisation de maladies, le développement de thérapies et la médecine personnalisée sans recourir à des modèles animaux, les outils d’imagerie adaptés font défaut. La tomographie par cohérence optique plein champ dynamique offre un contraste métabolique pour une ima- gerie haute résolution non invasive, sans marquage, et en direct dans les cultures 2D et 3D, pour l'étude longitudinale de cellules et d'échantillons humains.

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Hättenschwiler, Nicole, Marcia Mendes, and Adrian Schwaninger. "Detecting Bombs in X-Ray Images of Hold Baggage: 2D Versus 3D Imaging." Human Factors: The Journal of the Human Factors and Ergonomics Society 61, no. 2 (2018): 305–21. http://dx.doi.org/10.1177/0018720818799215.

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Objective: This study compared the visual inspection performance of airport security officers (screeners) when screening hold baggage with state-of-the-art 3D versus older 2D imaging. Background: 3D imaging based on computer tomography features better automated detection of explosives and higher baggage throughput than older 2D X-ray imaging technology. Nonetheless, some countries and airports hesitate to implement 3D systems due to their lower image quality and the concern that screeners will need extensive and specific training before they can be allowed to work with 3D imaging. Method: Scre

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Logadottir, A., S. Korreman, and P. M. Petersen. "COMPARISON OF PROSTATE LOCALIZATION WITH 2D-2D AND 3D IMAGES." Radiotherapy and Oncology 92 (August 2009): S179—S180. http://dx.doi.org/10.1016/s0167-8140(12)73061-x.

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Li, Yu, Shaohua Li, and Bo Zhang. "Constructing of 3D Fluvial Reservoir Model Based on 2D Training Images." Applied Sciences 13, no. 13 (2023): 7497. http://dx.doi.org/10.3390/app13137497.

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Training images are important input parameters for multipoint geostatistical modeling, and training images that can portray 3D spatial correlations are required to construct 3D models. The 3D training images are usually obtained by unconditional simulation using algorithms such as object-based algorithms, and in some cases, it is difficult to obtain the 3D training images directly, so a series of modeling methods based on 2D training images for constructing 3D models has been formed. In this paper, a new modeling method is proposed by synthesizing the advantages of the previous methods. Taking

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Hosoi, Fumiki, Sho Umeyama, and Kuangting Kuo. "Estimating 3D Chlorophyll Content Distribution of Trees Using an Image Fusion Method Between 2D Camera and 3D Portable Scanning Lidar." Remote Sensing 11, no. 18 (2019): 2134. http://dx.doi.org/10.3390/rs11182134.

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An image fusion method has been proposed for plant images taken using a two-dimensional (2D) camera and three-dimensional (3D) portable lidar for obtaining a 3D distribution of physiological and biochemical plant properties. In this method, a 2D multispectral camera with five bands (475–840 nm) and a 3D high-resolution portable scanning lidar were applied to three sets of sample trees. After producing vegetation index (VI) images from multispectral images, 3D point cloud lidar data were projected onto the 2D plane based on perspective projection, keeping the depth information of each of the li

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Tulunoglu, Ozlem, Elcin Esenlik, Ayse Gulsen, and Ibrahim Tulunoglu. "A Comparison of Three-Dimensional and Two-Dimensional Cephalometric Evaluations of Children with Cleft Lip and Palate." European Journal of Dentistry 05, no. 04 (2011): 451–58. http://dx.doi.org/10.1055/s-0039-1698918.

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ABSTRACTObjectives: The aim of this retrospective study was to compare the consistency of orthodontic measurement performed on cephalometric films and 3D CT images of cleft lip and palate (CLP) patients. Methods: The study was conducted with 2D radiographs and 3D CT images of 9 boys and 6 girls aged 7-12 with CLP. 3D reconstructions were performed using MIMICS software. Results: Frontal analysis found statistical differences for all parameters except occlusal plane tilt (OcP-tilt) and McNamara analysis found statistical differences in 2D and 3D measurements for all parameters except ANS-Me and

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Falah .K, Rasha, and Rafeef Mohammed .H. "Convert 2D shapes in to 3D images." Journal of Al-Qadisiyah for computer science and mathematics 9, no. 2 (2017): 19–23. http://dx.doi.org/10.29304/jqcm.2017.9.2.146.

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There are several complex programs that using for convert 2D images to 3D models with difficult techniques. In this paper ,it will be introduce a useful technique and using simple Possibilities and language for converting 2D to 3D images. The technique would be used; a three-dimensional projection using three images for the same shape and display three dimensional image from different side and to implement the particular work, visual programming with 3Dtruevision engine would be used, where its given acceptable result with shorting time. And it could be used in the field of engineering drawing

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Kim, Jeong Joo. "Capturing 3D macromolecule structure in 2D images." Trends in Biochemical Sciences 48, no. 3 (2023): 305–6. http://dx.doi.org/10.1016/j.tibs.2023.01.002.

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Poudel, Prabal, Christian Hansen, Julian Sprung, and Michael Friebe. "3D segmentation of thyroid ultrasound images using active contours." Current Directions in Biomedical Engineering 2, no. 1 (2016): 467–70. http://dx.doi.org/10.1515/cdbme-2016-0103.

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AbstractIn this paper, we propose a method to segment the thyroid from a set of 2D ultrasound images. We extended an active contour model in 2D to generate a 3D segmented thyroid volume. First, a preprocessing step is carried out to suppress the noise present in US data. Second, an active contour is used to segment the thyroid in each of the 2D images. Finally, all the segmented thyroid images are passed to a 3D reconstruction algorithm to obtain a 3D model of the thyroid. We obtained an average segmentation accuracy of 86.7% in six datasets with a total of 703 images.

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Lintz, Francois, Arne Burssens, Alesio Bernasconi, et al. "A Case-control Study of 3D versus 2D Weight Bearing CT Measurements of the M1-M2 Intermetatarsal Angle in Hallux Valgus." Foot & Ankle Orthopaedics 3, no. 3 (2018): 2473011418S0032. http://dx.doi.org/10.1177/2473011418s00321.

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Category: Midfoot/Forefoot Introduction/Purpose: Surgical planning based on angular measurements obtained on conventional radiographs is challenging due to perspective distortion and operator bias. Novel weightbearing CT (WBCT) three-dimensional (3D) measurements using coordinate systems may represent a more reliable and accurate evaluation of this 3D deformity. The objective of this study was to compare the M1-M2 intermetatarsal angle (IMA) obtained manually on WBCT digitally reconstructed 2D radiographs versus a set of coordinates from the full 3D dataset, in patients with hallux valgus (HV)

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Petre, Raluca-Diana, and Titus Zaharia. "3D Model-Based Semantic Categorization of Still Image 2D Objects." International Journal of Multimedia Data Engineering and Management 2, no. 4 (2011): 19–37. http://dx.doi.org/10.4018/jmdem.2011100102.

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Automatic classification and interpretation of objects present in 2D images is a key issue for various computer vision applications. In particular, when considering image/video, indexing, and retrieval applications, automatically labeling in a semantically pertinent manner/huge multimedia databases still remains a challenge. This paper examines the issue of still image object categorization. The objective is to associate semantic labels to the 2D objects present in natural images. The principle of the proposed approach consists of exploiting categorized 3D model repositories to identify unknow

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Cao, Ping, Jie Gao, and Zuping Zhang. "Multi-View Based Multi-Model Learning for MCI Diagnosis." Brain Sciences 10, no. 3 (2020): 181. http://dx.doi.org/10.3390/brainsci10030181.

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Mild cognitive impairment (MCI) is the early stage of Alzheimer’s disease (AD). Automatic diagnosis of MCI by magnetic resonance imaging (MRI) images has been the focus of research in recent years. Furthermore, deep learning models based on 2D view and 3D view have been widely used in the diagnosis of MCI. The deep learning architecture can capture anatomical changes in the brain from MRI scans to extract the underlying features of brain disease. In this paper, we propose a multi-view based multi-model (MVMM) learning framework, which effectively combines the local information of 2D images wit

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Wang, Feng, Weichuan Ni, Shaojiang Liu, Zhiming Xu, Zemin Qiu, and Zhiping Wan. "A 2D image 3D reconstruction function adaptive denoising algorithm." PeerJ Computer Science 9 (October 3, 2023): e1604. http://dx.doi.org/10.7717/peerj-cs.1604.

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To address the issue of image denoising algorithms blurring image details during the denoising process, we propose an adaptive denoising algorithm for the 3D reconstruction of 2D images. This algorithm takes into account the inherent visual characteristics of human eyes and divides the image into regions based on the entropy value of each region. The background region is subject to threshold denoising, while the target region undergoes processing using an adversarial generative network. This network effectively handles 2D target images with noise and generates a 3D model of the target. The pro

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Abousalem, Zib ziab. "3D from 2D for Nano images using images processing methods." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 2 (2014): 5437–47. http://dx.doi.org/10.24297/ijct.v14i2.2064.

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The scanning electron microscope (SEM) remains a main tool for semiconductor and polymer physics but TEM and AFM are increasingly used for minimum size features which called nanomaterials. In addition some physical properties such as microhardness, grain boundaries and domain structure are observed from optical and polarizing microscope which gives poor information and consequentially the error probability of discussion will be high.Thus it is natural to squeeze out every possible bit of resolution in the SEM, optical and polarizing microscopes for the materials under test. In our paper we wil

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Abousalem, Zib ziab. "3D from 2D for Nano images using images processing methods." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 2 (2014): 5437–47. http://dx.doi.org/10.24297/ijct.v14i2.2065.

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The scanning electron microscope (SEM) remains a main tool for semiconductor and polymer physics but TEM and AFM are increasingly used for minimum size features which called nanomaterials. In addition some physical properties such as microhardness, grain boundaries and domain structure are observed from optical and polarizing microscope which gives poor information and consequentially the error probability of discussion will be high. Thus it is natural to squeeze out every possible bit of resolution in the SEM, optical and polarizing microscopes for the materials under test. In our paper we wi

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Ding, Y., S. H. Patel, J. Holmes, et al. "Patient-specific 3D CT Images Reconstruction from 2D KV Images." International Journal of Radiation Oncology*Biology*Physics 118, no. 5 (2024): e68-e69. http://dx.doi.org/10.1016/j.ijrobp.2024.01.153.

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Choi, Chang-Hyuk, Hee-Chan Kim, Daewon Kang, and Jun-Young Kim. "Comparative study of glenoid version and inclination using two-dimensional images from computed tomography and three-dimensional reconstructed bone models." Clinics in Shoulder and Elbow 23, no. 3 (2020): 119–24. http://dx.doi.org/10.5397/cise.2020.00220.

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Background: This study was performed to compare glenoid version and inclination measured using two-dimensional (2D) images from computed tomography (CT) scans or three-dimensional (3D) reconstructed bone models.Methods: Thirty patients who had undergone conventional CT scans were included. Two orthopedic surgeons measured glenoid version and inclination three times on 2D images from CT scans (2D measurement), and two other orthopedic surgeons performed the same measurements using 3D reconstructed bone models (3D measurement). The 3D-reconstructed bone models were acquired and measured with Mim

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Schirone, Rebecca, Giuliano Mario Corte, Jan P. Ehlers, et al. "Effects of 3D Scans on Veterinary Students’ Learning Outcomes Compared to Traditional 2D Images in Anatomy Classes." Animals 14, no. 15 (2024): 2171. http://dx.doi.org/10.3390/ani14152171.

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Students often struggle with interpreting traditional textbook images and translating them to anatomical structures. This study aimed to compare the impact of 3D scans versus 2D images on students’ learning outcomes when learning anatomical structures on skulls from horses and pigs. Furthermore, the correlation between spatial ability and learning outcomes using 3D scans or 2D images was examined. Second-year veterinary medicine students either used 3D scans or 2D images, annotated with arrows or numbers as learning material. Students’ anatomical knowledge was tested before and after the learn

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JIANG, C. F. "3D IMAGE RECONSTRUCTION OF OVARIAN TUMOR IN THE ULTRASONIC IMAGES." Biomedical Engineering: Applications, Basis and Communications 13, no. 02 (2001): 93–98. http://dx.doi.org/10.4015/s1016237201000121.

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The prevalence of ovarian tumor malignancy can be monitored by the degree of irregularity in the ovarian contour and by the septal structure inside the tumor observed in ultrasonic images. However the 2D ultrasonic images can not integrate 3D information form the ovarian tumor. In this paper, we present an algorithm that can render the 3D image of an ovarian tumor by reconstructing the 2D ultrasonic images into a 3D data set. This is based on sequentially boundary detection in a series of 2D images to form a 3D tumor contour. This contour is then used as a barrier to remove the data containing

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Jacobs, R., A. Adriansens, K. Verstreken, P. Suetens, and D. van Steenberghe. "Predictability of a three-dimensional planning system for oral implant surgery." Dentomaxillofacial Radiology 28, no. 2 (1999): 105–11. http://dx.doi.org/10.1038/sj/dmfr/4600419.

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OBJECTIVES To compare 2D CT alone with 2D + 3D reconstruction for pre-operative planning of implant placement. METHODS Spiral CT scans of 33 consecutive patients were used for both reformatted 2D and 3D computer-assisted planning. The number, site and size of implants and the occurrence of anatomical complications during planning and implant placement were statistically compared using the percentage agreement and the Kendall's correlation coefficients (tau). Although planning was performed in 33 patients, implants were only placed in 21 patients. In 11 patients surgery was based on 2D + 3D ima

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Yang, Guangjie, Aidi Gong, Pei Nie, et al. "Contrast-Enhanced CT Texture Analysis for Distinguishing Fat-Poor Renal Angiomyolipoma From Chromophobe Renal Cell Carcinoma." Molecular Imaging 18 (January 1, 2019): 153601211988316. http://dx.doi.org/10.1177/1536012119883161.

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Objective: To evaluate the value of 2-dimensional (2D) and 3-dimensional (3D) computed tomography texture analysis (CTTA) models in distinguishing fat-poor angiomyolipoma (fpAML) from chromophobe renal cell carcinoma (chRCC). Methods: We retrospectively enrolled 32 fpAMLs and 24 chRCCs. Texture features were extracted from 2D and 3D regions of interest in triphasic CT images. The 2D and 3D CTTA models were constructed with the least absolute shrinkage and selection operator algorithm and texture scores were calculated. The diagnostic performance of the 2D and 3D CTTA models was evaluated with

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Suryakanth, B., and S. A. Hari Prasad. "3D CNN-Residual Neural Network Based Multimodal Medical Image Classification." WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE 19 (October 31, 2022): 204–14. http://dx.doi.org/10.37394/23208.2022.19.22.

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Multimodal medical imaging has become incredibly common in the area of biomedical imaging. Medical image classification has been used to extract useful data from multimodality medical image data. Magnetic resonance imaging (MRI) and Computed tomography (CT) are some of the imaging methods. Different imaging technologies provide different imaging information for the same part. Traditional ways of illness classification are effective, but in today's environment, 3D images are used to identify diseases. In comparison to 1D and 2D images, 3D images have a very clear vision. The proposed method use

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Chen, Shuting, Yanfei Su, Baiqi Lai, et al. "2D3D-DescNet: Jointly Learning 2D and 3D Local Feature Descriptors for Cross-Dimensional Matching." Remote Sensing 16, no. 13 (2024): 2493. http://dx.doi.org/10.3390/rs16132493.

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The cross-dimensional matching of 2D images and 3D point clouds is an effective method by which to establish the spatial relationship between 2D and 3D space, which has potential applications in remote sensing and artificial intelligence (AI). In this paper, we propose a novel multi-task network, 2D3D-DescNet, to learn 2D and 3D local feature descriptors jointly and perform cross-dimensional matching of 2D image patches and 3D point cloud volumes. The 2D3D-DescNet contains two branches with which to learn 2D and 3D feature descriptors, respectively, and utilizes a shared decoder to generate th

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Bentley, Laurence R., and Mehran Gharibi. "Two‐ and three‐dimensional electrical resistivity imaging at a heterogeneous remediation site." GEOPHYSICS 69, no. 3 (2004): 674–80. http://dx.doi.org/10.1190/1.1759453.

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Geometrically complex heterogeneities at a decommissioned sour gas plant could not be adequately characterized with drilling and 2D electrical resistivity surveys alone. In addition, 2D electrical resistivity imaging profiles produced misleading images as a result of out‐of‐plane resistivity anomalies and violation of the 2D assumption. Accurate amplitude and positioning of electrical conductivity anomalies associated with the subsurface geochemical distribution were required to effectively analyze remediation alternatives. Forward and inverse modeling and field examples demonstrated that 3D r

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Gunasekaran, Ganesan, and Meenakshisundaram Venkatesan. "An Efficient Technique for Three-Dimensional Image Visualization Through Two-Dimensional Images for Medical Data." Journal of Intelligent Systems 29, no. 1 (2017): 100–109. http://dx.doi.org/10.1515/jisys-2017-0315.

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Abstract The main idea behind this work is to present three-dimensional (3D) image visualization through two-dimensional (2D) images that comprise various images. 3D image visualization is one of the essential methods for excerpting data from given pieces. The main goal of this work is to figure out the outlines of the given 3D geometric primitives in each part, and then integrate these outlines or frames to reconstruct 3D geometric primitives. The proposed technique is very useful and can be applied to many kinds of images. The experimental results showed a very good determination of the reco

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Dai, Xiaowei, Shuiwang Li, Qijun Zhao, and Hongyu Yang. "Animal Pose Estimation Based on 3D Priors." Applied Sciences 13, no. 3 (2023): 1466. http://dx.doi.org/10.3390/app13031466.

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Animal pose estimation is very useful in analyzing animal behavior, monitoring animal health and moving trajectories, etc. However, occlusions, complex backgrounds, and unconstrained illumination conditions in wild-animal images often lead to large errors in pose estimation, i.e., the detected key points have large deviations from their true positions in 2D images. In this paper, we propose a method to improve animal pose estimation accuracy by exploiting 3D prior constraints. Firstly, we learn the 3D animal pose dictionary, in which each atom provides prior knowledge about 3D animal poses. Se

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D’Attilio, Michele, Antonino Peluso, Giulia Falone, Rossana Pipitone, Francesco Moscagiuri, and Francesco Caroccia. "“3D Counterpart Analysis”: A Novel Method for Enlow’s Counterpart Analysis on CBCT." Diagnostics 12, no. 10 (2022): 2513. http://dx.doi.org/10.3390/diagnostics12102513.

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The aim of this study was to propose a novel 3D Enlow’s counterpart analysis traced on cone-beam computed tomography (CBCT) images. Eighteen CBCT images of skeletal Class I (ANB = 2° ± 2°) subjects (12 males and 6 females, aged from 9 to 19 years) with no history of previous orthodontic treatment were selected. For each subject, a 2D Enlow’s counterpart analysis was performed on lateral cephalograms extracted from the CBCT images. The following structures were identified: mandibular ramus, middle cranial floor, maxillary skeletal arch, mandibular skeletal arch, maxillary dento-alveolar arch, m

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Sheu, Jia Shing, Ho Nien Shou, Li Peng Wang, and Tsong Liang Huang. "Implementation of Face Recognition Based on 3D Image." Applied Mechanics and Materials 311 (February 2013): 173–78. http://dx.doi.org/10.4028/www.scientific.net/amm.311.173.

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Biometric is used to confirm the unique of identity. In general, face is the most characteristic to recognize a person. In this paper, it is emphasized and compared the quality of 2D and 3D face recognition. There are three parts in this paper. First part is the detection of skin color which is used RGB color space. In order to reduce color red and green which are sensitive to illuminant, Normalized Color Coordinate (NCC) method is chosen to pick up the range of skin color directly. Second, to increase choosing of the important characteristics by Principle Component Analysis (PCA) the waveleng

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Konkov, V. V., and A. B. Zamchalov. "Application of PyTorch3D and NERF Computer Vision Tools for Building a Point Cloud of a Three-Dimensional Model and Determining the Camera Position of Still Images in Space." Scientific Visualization 17, no. 1 (2025): 65–85. https://doi.org/10.26583/sv.17.1.06.

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Recently, computer graphics plays a key role in solving computer vision problems. The problem of converting 2D images into 3D models continues to be urgent, as it requires precise determination of camera position and construction of accurate 3D models of objects. Traditional methods are often limited in application and do not offer a comprehensive solution. This study examines the use of PyTorch3D and NERF libraries to determine the camera position in 3D space and create a 3D model of an object from a single 2D image. As a method of data preparation, a hardware and software system was used, in

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Ban, Yuxi, Yang Wang, Shan Liu, et al. "2D/3D Multimode Medical Image Alignment Based on Spatial Histograms." Applied Sciences 12, no. 16 (2022): 8261. http://dx.doi.org/10.3390/app12168261.

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The key to image-guided surgery (IGS) technology is to find the transformation relationship between preoperative 3D images and intraoperative 2D images, namely, 2D/3D image registration. A feature-based 2D/3D medical image registration algorithm is investigated in this study. We use a two-dimensional weighted spatial histogram of gradient directions to extract statistical features, overcome the algorithm’s limitations, and expand the applicable scenarios under the premise of ensuring accuracy. The proposed algorithm was tested on CT and synthetic X-ray images, and compared with existing algori

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García-Márquez, Marco A., Josue R. Martínez-Mireles, Jazmín Rodríguez-Flores, Arturo Austria-Cornejo, and Jorge A. Ruiz-Vanoye. "2D23D: 3D images from 2D images using statistical filters and color shading." International Journal of Combinatorial Optimization Problems and Informatics 15, no. 3 (2024): 115–25. http://dx.doi.org/10.61467/2007.1558.2024.v15i3.521.

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Below is the development of an algorithm that allows generating 3D models from 2D images for analysis and visualization, with an application focused on images from the health and space sectors, domains chosen for their contrast characteristics. The characteristics used in the project are presented and determined, as well as 3D programming and visualization environment tools that allow the generation of voxel depth, as well as the management of image formats from the medical or spatial sector, including the results obtained with images. from both sectors, from which the 3D models were created.

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Zamora, Natalia, Jose M. Llamas, Rosa Cibrián, Jose L. Gandia, and Vanessa Paredes. "Cephalometric measurements from 3D reconstructed images compared with conventional 2D images." Angle Orthodontist 81, no. 5 (2011): 856–64. http://dx.doi.org/10.2319/121210-717.1.

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Abstract Objective: To assess whether the values of different measurements taken on three-dimensional (3D) reconstructions from cone-beam computed tomography (CBCT) are comparable with those taken on two-dimensional (2D) images from conventional lateral cephalometric radiographs (LCRs) and to examine if there are differences between the different types of CBCT software when taking those measurements. Material and Methods: Eight patients were selected who had both an LRC and a CBCT. The 3D reconstructions of each patient in the CBCT were evaluated using two different software packages, NemoCeph

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