scholarly journals Effects of Different Parameter Settings for 3D Data Smoothing and Mesh Simplification on Near Real-Time 3D Reconstruction of High Resolution Bioceramic Bone Void Filling Medical Images

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7955
Author(s):  
Daniel Jie Yuan Chin ◽  
Ahmad Sufril Azlan Mohamed ◽  
Khairul Anuar Shariff ◽  
Mohd Nadhir Ab Wahab ◽  
Kunio Ishikawa
Keyword(s):  
Real Time ◽  
Volume Rendering ◽  
Medical Images ◽  
Three Dimensional ◽  
Mesh Simplification ◽  
Surface Rendering ◽  
Reconstruction Accuracy ◽  
Total Execution Time ◽  
Data Smoothing ◽  
Dimensional Reconstruction

Three-dimensional reconstruction plays a vital role in assisting doctors and surgeons in diagnosing the healing progress of bone defects. Common three-dimensional reconstruction methods include surface and volume rendering. As the focus is on the shape of the bone, this study omits the volume rendering methods. Many improvements have been made to surface rendering methods like Marching Cubes and Marching Tetrahedra, but not many on working towards real-time or near real-time surface rendering for large medical images and studying the effects of different parameter settings for the improvements. Hence, this study attempts near real-time surface rendering for large medical images. Different parameter values are experimented on to study their effect on reconstruction accuracy, reconstruction and rendering time, and the number of vertices and faces. The proposed improvement involving three-dimensional data smoothing with convolution kernel Gaussian size 5 and mesh simplification reduction factor of 0.1 is the best parameter value combination for achieving a good balance between high reconstruction accuracy, low total execution time, and a low number of vertices and faces. It has successfully increased reconstruction accuracy by 0.0235%, decreased the total execution time by 69.81%, and decreased the number of vertices and faces by 86.57% and 86.61%, respectively.

scholarly journals Effects of Different Parameter Settings for 3D Data Smoothing and Mesh Simplification on Towards Near Real-Time 3D Reconstruction of High Resolution Bioceramic Bone Void Filling Medical Images

2021 ◽  
Author(s):  
Daniel Jie Yuan Chin ◽  
Ahmad Sufril Azlan Mohamed ◽  
Khairul Anuar Shariff ◽  
Mohd Nadhir Ab Wahab ◽  
Kunio Ishikawa
Keyword(s):  
Real Time ◽  
Volume Rendering ◽  
Medical Images ◽  
Three Dimensional ◽  
Mesh Simplification ◽  
Surface Rendering ◽  
Reconstruction Accuracy ◽  
Total Execution Time ◽  
Data Smoothing ◽  
Dimensional Reconstruction

Three-dimensional reconstruction plays an important role in assisting doctors and surgeons in diagnosing bone defects’ healing progress. Common three-dimensional reconstruction methods include surface and volume rendering. As the focus is on the shape of the bone, volume rendering is omitted. Many improvements have been made on surface rendering methods like Marching Cubes and Marching Tetrahedra, but not many on working towards real-time or near real-time surface rendering for large medical images, and studying the effects of different parameter settings for the improvements. Hence, in this study, an attempt towards near real-time surface rendering for large medical images is made. Different parameter values are experimented on to study their effect on reconstruction accuracy, reconstruction and rendering time, and the number of vertices and faces. The proposed improvement involving three-dimensional data smoothing with convolution kernel Gaussian size 0.5 and mesh simplification reduction factor of 0.1, is the best parameter value combination for achieving a good balance between high reconstruction accuracy, low total execution time, and a low number of vertices and faces. It has successfully increased the reconstruction accuracy by 0.0235%, decreased the total execution time by 69.81%, and decreased the number of vertices and faces by 86.57% and 86.61% respectively.

Evaluation of Spherical Parameterization Methods for Three-Dimensional Reconstruction of Medical Images

2013 ◽  
Vol 365-366 ◽  
pp. 1342-1349
Author(s):  
Xing Hui Wu ◽  
Zhi Xiu Hao
Keyword(s):  
Medical Images ◽  
Three Dimensional ◽  
3D Models ◽  
Mapping Method ◽  
Geometric Error ◽  
Patient Specific ◽  
Shape Modelling ◽  
Dimensional Reconstruction ◽  
Statistical Shape ◽  
Spherical Parameterization

The spherical parameterization is important for the correspondence problem that is a major part of statistical shape modelling for the reconstruction of patient-specific 3D models from medical images. In this paper, we present comparative studies of five common spherical mapping methods applied to the femur and tibia models: the Issenburg et al. method, the Alexa method, the Saba et al. method, the Praun et al. method and the Shen et al. method. These methods are evaluated using three sets of measures: distortion property, geometric error and distance to standard landmarks. Results show that the Praun et al. method performs better than other methods while the Shen et al. method can be regarded as the most reliable one for providing an acceptable correspondence result. We suggest that the area preserving property can be used as a sufficient condition while the angle preserving property is not important when choosing a spherical mapping method for correspondence application.

Visualization of morphological details in congenitally malformed hearts: virtual three-dimensional reconstruction from magnetic resonance imaging

2003 ◽  
Vol 13 (5) ◽  
pp. 451-460 ◽  
Author(s):  
Thomas Sangild Sørensen ◽  
Erik Morre Pedersen ◽  
Ole Kromann Hansen ◽  
Keld Sørensen
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Real Time ◽  
Clinical Experience ◽  
Spatial Information ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Resonance Imaging ◽  
Cardiac Malformations ◽  
Dimensional Reconstruction

In recent years, three-dimensional imaging has provided new opportunities for visualizing congenital cardiac malformations. We present the initial clinical experience using a recently implemented system, which employs some of new interactive, real-time, techniques. We show how three-dimensional rendering based on magnetic resonance imaging can provide detailed spatial information on both intrinsic and extrinsic cardiac relations, and hence how a virtual examination can potentially provide new means to a better understanding of complex congenital cardiac malformations.

Subcostal real-time three-dimensional echocardiography of interatrial communications: reconstruction of an oval fossa defect, a superior sinus venosus defect with partially anomalous pulmonary venous drainage, an infero-posterior oval fossa defect, and a coronary sinus defect

2011 ◽  
Vol 22 (2) ◽  
pp. 145-151 ◽  
Author(s):  
Karolina M. G. Bilska ◽  
Claudia M. J. Kehrens ◽  
Gillian Riley ◽  
Robert H. Anderson ◽  
Jan Marek
Keyword(s):  
Real Time ◽  
Coronary Sinus ◽  
Three Dimensional ◽  
Venous Drainage ◽  
Sinus Venosus ◽  
Three Dimensional Reconstruction ◽  
Cross Sectional ◽  
Dimensional Reconstruction ◽  
Dimensional Echocardiography ◽  
Three Dimensional Echocardiography

AbstractReal-time three-dimensional echocardiography can surpass simple cross-sectional echocardiography in providing precise details of cardiac lesions. For the purpose of optimising treatment, we describe our findings with real-time three-dimensional echocardiography when interrogating different types of communications permitting interatrial shunting. A three-dimensional reconstruction of defects within the oval fossa enabled reliable identification of location, size, and integrity of surrounding rims. In the superior sinus venosus defect associated with partially anomalous pulmonary venous drainage, three-dimensional reconstruction helped to provide a better understanding of the relationship between the interatrial communication, the orifice of the superior caval vein, and the connections of the right upper pulmonary vein. In the defect opening infero-posteriorly within the oval fossa, three-dimensional reconstruction helped to avoid the risk of potentially inappropriate closure of the defect by suturing the hyperplastic Eustachian valve to the atrial wall, which could have diverted the inferior caval venous return into the left atrium, or obstructed the caval venous orifice. In the coronary sinus defect, three-dimensional echocardiography provided a ‘face to face’ view of the entire coronary sinus roof, showing a circular defect communicating with the cavity of the left atrium. Acquisition of the full-volume data sets took less than 2 minutes for the patients having defects within the oval fossa, and no more than 3 minutes for the patients with the sinus venosus and coronary sinus defects. Post-processing for the defects in the oval fossa took from 5 to 8 minutes, and from 12 to 16 minutes for the more complicated defects.ConclusionCross-sectional two-dimensional echocardiography can establish correct diagnosis in all types of atrial communications; however, real-time three-dimensional reconstruction provides additional value to the surgeon and interventionist for better understanding of spatial intracardiac morphology.

Modeling and volume rendering approach of underwater three-dimensional acoustic energy field

2016 ◽  
Vol 07 (03) ◽  
pp. 1650019
Author(s):  
Yanyang Zeng ◽  
Panpan Jia
Keyword(s):  
Real Time ◽  
Volume Rendering ◽  
Underwater Acoustics ◽  
Three Dimensional ◽  
Texture Mapping ◽  
Propagation Model ◽  
Acoustic Energy ◽  
Frame Rate ◽  
Volume Data ◽  
Energy Field

The underwater acoustics is primary and most effective method for underwater object detection and the complex underwater acoustics battlefield environment can be visually described by the three-dimensional (3D) energy field. Through solving the 3D propagation models, the traditional underwater acoustics volume data can be obtained, but it is large amount of calculation. In this paper, a novel modeling approach, which transforms two-dimensional (2D) wave equation into 2D space and optimizes energy loss propagation model, is proposed. In this way, the information for the obtained volume data will not be lost too much. At the same time, it can meet the requirements of data processing for the real-time visualization. In the process of volume rendering, 3D texture mapping methods is used. The experimental results are evaluated on data size and frame rate, showing that our approach outperforms other approaches and the approach can achieve better results in real time and visual effects.

Spatial Constraint Method: A New Approach to Real-Time Haptic Interaction in Virtual Environments

2004 ◽  
Vol 13 (3) ◽  
pp. 355-370 ◽  
Author(s):  
Koichi Hirota ◽  
Masaki Hirayam ◽  
Atsuko Tanaka ◽  
Toyohisa Kaneko
Keyword(s):  
Real Time ◽  
Volume Rendering ◽  
Computation Time ◽  
Surface Rendering ◽  
Volume Data ◽  
Haptic Interaction ◽  
New Approach ◽  
Computation Algorithm ◽  
Future Work ◽  
Constraint Method

In this paper, we propose an approach to real-time haptic interaction based on the concept of simulating the constraining propertes of space. Research on haptic interaction has been conducted from the points of view of both surface and volume rendering. Most approaches to surface rendering—such as the constraint-based god-object method, the point-based approach, and the virtual proxy approach—have dealt only with the interaction with an object surface. Whereas, in volume rendering approaches, algorithms for representing volume data through interactions in space have been investigated. Our approach provides a framework for the representation of haptic interaction with both surface and space. We discretize the space using a tetrahedral cell mesh and associate a constraining property with each cell. The interaction of the haptic interface points with a volume is simulated using the constraining properties of the cells occupied by this volume. We implemented a fast computation algorithm that works at a haptic rate. The algorithm is robust in that any sudden or quick motion of the user does not disturb the computation, and the computation time for each cycle is independent of the complexity of the model as a whole. To demonstrate the performance of the proposed method, we present experimental results on the interaction with models of varying complexity. Also, we discuss some problems that need to be solved in future work.

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