keyword
MENU ▼
Read by QxMD icon Read
search

3D graphics

keyword
https://www.readbyqxmd.com/read/28645855/training-surgical-residents-with-a-haptic-robotic-central-venous-catheterization-simulator
#1
David F Pepley, Adam B Gordon, Mary A Yovanoff, Katelin A Mirkin, Scarlett R Miller, David C Han, Jason Z Moore
OJECTIVE: Ultrasound guided central venous catheterization (CVC) is a common surgical procedure with complication rates ranging from 5 to 21 percent. Training is typically performed using manikins that do not simulate anatomical variations such as obesity and abnormal vessel positioning. The goal of this study was to develop and validate the effectiveness of a new virtual reality and force haptic based simulation platform for CVC of the right internal jugular vein. DESIGN: A CVC simulation platform was developed using a haptic robotic arm, 3D position tracker, and computer visualization...
June 20, 2017: Journal of Surgical Education
https://www.readbyqxmd.com/read/28641257/fast-segmentation-from-blurred-data-in-3d-fluorescence-microscopy
#2
Martin Storath, Dennis Rickert, Michael Unser, Andreas Weinmann
We develop a fast algorithm for segmenting 3D images from linear measurements based on the Potts model (or piecewise constant Mumford-Shah model). To that end, we first derive suitable space discretizations of the 3D Potts model which are capable of dealing with 3D images defined on non-cubic grids. Our discretization allows us to utilize a specific splitting approach which results in decoupled subproblems of moderate size. The crucial point in the 3D setup is that the number of independent subproblems is so large that we can reasonably exploit the parallel processing capabilities of the graphics processing units (GPU)...
June 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28636811/performance-evaluation-of-gpu-parallelization-space-time-adaptive-algorithms-and-their-combination-for-simulating-cardiac-electrophysiology
#3
Rafael S Oliveira, Bernardo M Rocha, Denise Burgarelli, Wagner Meira, Christakis Constantinides, Rodrigo Weber Dos Santos
The use of computer models as a tool for the study and understanding of the complex phenomena of cardiac electrophysiology has attained increased importance nowadays. At the same time, the increased complexity of the biophysical processes translates into complex computational and mathematical models. In order to speed up cardiac simulations and to allow more precise and realistic uses, two different techniques have been traditionally exploited: parallel computing and sophisticated numerical methods. In this work, we combine a modern parallel computing technique based on multicore and graphics processing units (GPUs), and a sophisticated numerical method based on a new space-time adaptive algorithm...
June 21, 2017: International Journal for Numerical Methods in Biomedical Engineering
https://www.readbyqxmd.com/read/28627330/gpu-accelerated-kernel-regression-reconstruction-for-freehand-3d-ultrasound-imaging
#4
Tiexiang Wen, Ling Li, Qingsong Zhu, Wenjian Qin, Jia Gu, Feng Yang, Yaoqin Xie
Volume reconstruction method plays an important role in improving reconstructed volumetric image quality for freehand three-dimensional (3D) ultrasound imaging. By utilizing the capability of programmable graphics processing unit (GPU), we can achieve a real-time incremental volume reconstruction at a speed of 25-50 frames per second (fps). After incremental reconstruction and visualization, hole-filling is performed on GPU to fill remaining empty voxels. However, traditional pixel nearest neighbor-based hole-filling fails to reconstruct volume with high image quality...
July 2017: Ultrasonic Imaging
https://www.readbyqxmd.com/read/28616636/a-semi-automated-approach-to-improve-the-efficiency-of-medical-imaging-segmentation-for-haptic-rendering
#5
Pat Banerjee, Mengqi Hu, Rahul Kannan, Srinivasan Krishnaswamy
The Sensimmer platform represents our ongoing research on simultaneous haptics and graphics rendering of 3D models. For simulation of medical and surgical procedures using Sensimmer, 3D models must be obtained from medical imaging data, such as magnetic resonance imaging (MRI) or computed tomography (CT). Image segmentation techniques are used to determine the anatomies of interest from the images. 3D models are obtained from segmentation and their triangle reduction is required for graphics and haptics rendering...
June 14, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28594560/reflective-metasurfaces-for-incoherent-light-to-bring-computer-graphics-tricks-to-optical-systems
#6
Alexander E Minovich, Manuel Peter, Felix Bleckmann, Manuel Becker, Stefan Linden, Anatoly V Zayats
The normal mapping technique is widely used in computer graphics to visualize three-dimensional (3D) objects displayed on a flat screen. Taking advantage of optical properties of metasurfaces, which provide a highly efficient approach for manipulation of incident light wavefront, we have designed a metasurface to implement diffuse reflection and used the concept of normal mapping to control its scattering properties. As a proof of principle, we have fabricated and characterized a flat diffuse metasurface imitating lighting and shading effects of a 3D cube...
June 19, 2017: Nano Letters
https://www.readbyqxmd.com/read/28594549/playmolecule-proteinprepare-a-web-application-for-protein-preparation-for-molecular-dynamics-simulations
#7
Gerard Martinez-Rosell, Toni Giorgino, Gianni De Fabritiis
Protein preparation is a critical step in molecular simulations consisting in refining a protein PDB structure by assigning titration states and optimizing the hydrogen bonding network. In this application note, we describe ProteinPrepare, a web application designed to interactively support the preparation of protein structures. Users can upload a PDB file, choose the solvent pH value, and inspect the resulting protonated residues and H-bonding network within a 3D web interface. Protonation states are suggested automatically, but can be manually changed using the visual aid of the hydrogen bond network...
June 8, 2017: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/28575181/deepsite-protein-binding-site-predictor-using-3d-convolutional-neural-networks
#8
J Jiménez, S Doerr, G Martínez-Rosell, A S Rose, G De Fabritiis
Motivation: An important step in structure-based drug design consists in the prediction of druggable binding sites. Several algorithms for detecting binding cavities, those likely to bind to a small drug compound, have been developed over the years by clever exploitation of geometric, chemical and evolutionary features of the protein. Results: Here we present a novel knowledge-based approach that uses state-of-the-art convolutional neural networks, where the algorithm is learned by examples...
May 31, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28571788/shape-change-in-the-atlas-with-congenital-midline-non-union-of-its-posterior-arch-a-morphometric-geometric-study
#9
Luis Ríos, Carlos Palancar, Francisco Pastor, Susana Llidó, Juan Alberto Sanchís-Gimeno, Markus Bastir
BACKGROUND CONTEXT: The congenital midline non-union of the posterior arch of the atlas is a developmental variant present at a frequency ranging from 0.7% to 3.9%. Most of the reported cases correspond to incidental findings during routine medical examination. In cases of posterior non-union, hypertrophy of the anterior arch and cortical bone thickening of the posterior arches have been observed and interpreted as adaptive responses of the atlas to increased mechanical stress. PURPOSE: We sought to determine if the congenital non-union of the posterior arch results in a change in the shape of the atlas...
May 29, 2017: Spine Journal: Official Journal of the North American Spine Society
https://www.readbyqxmd.com/read/28560152/improved-cerebral-microbleeds-detection-using-their-magnetic-signature-on-t2-phase-contrast-a-comparison-study-in-a-clinical-setting
#10
Takoua Kaaouana, Anne Bertrand, Fatma Ouamer, Bruno Law-Ye, Nadya Pyatigorskaya, Ali Bouyahia, Nathalie Thiery, Carole Dufouil, Christine Delmaire, Didier Dormont, Ludovic de Rochefort, Marie Chupin
INTRODUCTION/PURPOSE: In vivo detection of cerebral microbleeds (CMBs) from T2* gradient recalled echo (GRE) magnitude image suffers from low specificity, modest inter-rater reproducibility and is biased by its sensitivity to acquisition parameters. New methods were proposed for improving this identification, but they mostly rely on 3D acquisitions, not always feasible in clinical practice. A fast 2D phase processing technique for computing internal field maps (IFM) has been shown to make it possible to characterize CMBs through their magnetic signature in routine clinical setting, based on 2D multi-slice acquisitions...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28550818/blochsolver-a-gpu-optimized-fast-3d-mri-simulator-for-experimentally-compatible-pulse-sequences
#11
Ryoichi Kose, Katsumi Kose
A magnetic resonance imaging (MRI) simulator, which reproduces MRI experiments using computers, has been developed using two graphic-processor-unit (GPU) boards (GTX 1080). The MRI simulator was developed to run according to pulse sequences used in experiments. Experiments and simulations were performed to demonstrate the usefulness of the MRI simulator for three types of pulse sequences, namely, three-dimensional (3D) gradient-echo, 3D radio-frequency spoiled gradient-echo, and gradient-echo multislice with practical matrix sizes...
May 20, 2017: Journal of Magnetic Resonance
https://www.readbyqxmd.com/read/28512434/evaluation-of-a-rapid-anisotropic-model-for-ecg-simulation
#12
Simone Pezzuto, Peter Kal'avský, Mark Potse, Frits W Prinzen, Angelo Auricchio, Rolf Krause
State-of-the-art cardiac electrophysiology models that are able to deliver physiologically motivated activation maps and electrocardiograms (ECGs) can only be solved on high-performance computing architectures. This makes it nearly impossible to adopt such models in clinical practice. ECG imaging tools typically rely on simplified models, but these neglect the anisotropic electric conductivity of the tissue in the forward problem. Moreover, their results are often confined to the heart-torso interface. We propose a forward model that fully accounts for the anisotropic tissue conductivity and produces the standard 12-lead ECG in a few seconds...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28509592/molecular-modeling-and-structure-activity-relationships-for-a-series-of-benzimidazole-derivatives-as-cruzain-inhibitors
#13
Ivani Pauli, Leonardo G Ferreira, Mariana L de Souza, Glaucius Oliva, Rafaela S Ferreira, Marco A Dessoy, Brian W Slafer, Luiz C Dias, Adriano D Andricopulo
AIM: Chagas disease is endemic in Latin America and no effective treatment is available. Efforts in drug research have focused on several enzymes from Trypanosoma cruzi, among which cruzain is a validated pharmacological target. METHODOLOGY: Chemometric analyses were performed on the data set using the hologram quantitative structure-activity relationship, comparative molecular field analysis and comparative molecular similarity index analysis methods. Docking simulations were executed using the crystallographic structure of cruzain in complex with a benzimidazole inhibitor...
May 2017: Future Medicinal Chemistry
https://www.readbyqxmd.com/read/28504935/efficient-three-dimensional-model-based-reconstruction-scheme-for-arbitrary-optoacoustic-acquisition-geometries
#14
Lu Ding, X Luis Dean Ben, Daniel Razansky
Optimal optoacoustic tomographic sampling is often hindered by the frequency-dependent directivity of ultrasound sensors, which can only be accounted for with an accurate three-dimensional (3D) model. Herein, we introduce a 3D modelbased reconstruction method applicable to optoacoustic imaging systems employing detection elements with arbitrary size and shape. The computational complexity and memory requirements are mitigated by introducing an efficient graphics processing unit (GPU)-based implementation of the iterative inversion...
May 12, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28500014/three-dimensional-visual-patient-based-on-electronic-medical-diagnostic-records
#15
Liehang Shi, Jianyong Sun, Yuanyuan Yang, Tonghui Ling, Mingqing Wang, Yiping Gu, Zhiming Yang, Yanqing Hua, Jianguo Zhang
OBJECTIVE: An innovative concept and method is introduced to use a three Dimensional (3D) anatomical graphic pattern called Visual Patient (VP) visually to index, represent and render the medical diagnostic records (MDRs) of a patient, so that a doctor can quickly learn the current and historical medical status of the patient by manipulating VP. The MDRs can be imaging diagnostic reports and DICOM images, laboratory reports and clinical summaries which can have clinical information relating to medical status of human organs or body parts...
May 8, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28472503/dssr-enhanced-visualization-of-nucleic-acid-structures-in-jmol
#16
Robert M Hanson, Xiang-Jun Lu
Sophisticated and interactive visualizations are essential for making sense of the intricate 3D structures of macromolecules. For proteins, secondary structural components are routinely featured in molecular graphics visualizations. However, the field of RNA structural bioinformatics is still lagging behind; for example, current molecular graphics tools lack built-in support even for base pairs, double helices, or hairpin loops. DSSR (Dissecting the Spatial Structure of RNA) is an integrated and automated command-line tool for the analysis and annotation of RNA tertiary structures...
May 3, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28472167/3d-forest-an-application-for-descriptions-of-three-dimensional-forest-structures-using-terrestrial-lidar
#17
Jan Trochta, Martin Krůček, Tomáš Vrška, Kamil Král
Terrestrial laser scanning is a powerful technology for capturing the three-dimensional structure of forests with a high level of detail and accuracy. Over the last decade, many algorithms have been developed to extract various tree parameters from terrestrial laser scanning data. Here we present 3D Forest, an open-source non-platform-specific software application with an easy-to-use graphical user interface with the compilation of algorithms focused on the forest environment and extraction of tree parameters...
2017: PloS One
https://www.readbyqxmd.com/read/28463308/computer-generated-hologram-with-occlusion-effect-using-layer-based-processing
#18
Hao Zhang, Liangcai Cao, Guofan Jin
We propose a layer-based algorithm with single-viewpoint rendering geometry to calculate a three-dimensional (3D) computer-generated hologram (CGH) with occlusion effect. The 3D scene is sliced into multiple parallel layers according to the depth information. Slab-based orthographic projection is implemented to generate shading information for each layer, which renders hidden primitives for occlusion processing. The layer-based angular spectrum with silhouette mask culling is used to calculate the wave propagations from the layers to the CGH plane without paraxial approximation...
May 1, 2017: Applied Optics
https://www.readbyqxmd.com/read/28450139/3d-fully-convolutional-networks-for-subcortical-segmentation-in-mri-a-large-scale-study
#19
REVIEW
Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
This study investigates a 3D and fully convolutional neural network (CNN) for subcortical brain structure segmentation in MRI. 3D CNN architectures have been generally avoided due to their computational and memory requirements during inference. We address the problem via small kernels, allowing deeper architectures. We further model both local and global context by embedding intermediate-layer outputs in the final prediction, which encourages consistency between features extracted at different scales and embeds fine-grained information directly in the segmentation process...
April 24, 2017: NeuroImage
https://www.readbyqxmd.com/read/28436877/packing-vertex-data-into-hardware-decompressible-textures
#20
Kin Chung Kwan, Xuemiao Xu, Liang Wan, Tien-Tsin Wong, Wai-Man Pang
Most graphics hardware features memory to store textures and vertex data for rendering. However, because of the irreversible trend of increasing complexity of scenes, rendering a scene can easily reach the limit of memory resources. Thus, vertex data are preferably compressed, with a requirement that they can be decompressed during rendering. In this paper, we present a novel method to exploit existing hardware texture compression circuits to facilitate the decompression of vertex data in graphics processing unit (GPUs)...
April 18, 2017: IEEE Transactions on Visualization and Computer Graphics
keyword
keyword
113660
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"