Cutting Display of Industrial CT Volume Data Based on GPU

2011 ◽  
Vol 271-273 ◽  
pp. 1096-1102
Author(s):  
Yong Ning Zou ◽  
Jue Wang ◽  
Jian Wei Li
Keyword(s):  
Computed Tomography ◽  
Programming Model ◽  
Rapid Development ◽  
Frame Rate ◽  
Volume Data ◽  
Graphic Processor ◽  
Industrial Ct ◽  
Performance Results ◽  
Ct Volume

The rapid development of Graphic Processor Units (GPU) in recent years in terms of performance and programmability has attracted the attention of those seeking to leverage alternative architectures for better performance than that which commodity CPU can provide. This paper presents a new algorithm for cutting display of computed tomography volume data on the GPU. We first introduce the programming model of the GPU and outline the implementation of techniques for oblique plane cutting display of volume data on both the CPU and GPU. We compare the approaches and present performance results for both the CPU and GPU. The results show that cutting display image generated by GPU algorithm is clear, frame rate on GPU is 2-9 times than that on CPU.

Segmentation of Kidneys from Computed Tomography Using 3D Fast GrowCut Algorithm

2013 ◽  
Vol 333-335 ◽  
pp. 1145-1150 ◽  
Author(s):  
Gao Yuan Dai ◽  
Zhi Cheng Li ◽  
Jia Gu ◽  
Lei Wang ◽  
Xing Min Li ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Three Dimensional ◽  
Experimental Results ◽  
Volume Data ◽  
Great Role ◽  
Color Features ◽  
Monotonically Decreasing Function ◽  
Kidney Segmentation ◽  
Ct Volume

This paper proposes a fast GrowCut (FGC) algorithm and applies the new algorithm in three-dimensional (3D)kidney segmentation from computed tomography (CT) volume data. Users could mark the object of interest with different labels in CT slices.FGC propagates the labels using monotonically decreasing function and color features to derive an optimal cut for a given data in space. The color features play a great role in comparing with neighborhood cells. The experimental results clearly demonstrate the superiority of FGC in accuracy and speed.

Bitplane Based Volume Morphology for 3-D Image Speckle Noise Suppressing

2013 ◽  
Vol 740 ◽  
pp. 188-192
Author(s):  
Chen Jian ◽  
Tong Li ◽  
Jiang Hua ◽  
Zeng Ying ◽  
Yan Bin
Keyword(s):  
Image Processing ◽  
Data Analysis ◽  
Computing Time ◽  
Speckle Noise ◽  
Scale Space ◽  
3D Image ◽  
Volume Data ◽  
3D Image Processing ◽  
Industrial Ct ◽  
Ct Volume

In 3D image processing, such as medical volume data and industrial CT volume data analysis, speckle noise suppressing significantly affects their accuracy. This paper utilizes a group of volume morphology arithmetic operators, mainly including volume open and volume close, by extending area morphology into 3-D space. Using these operators, the light and dark objects of small size could be removed directly from the 3-D space of the target objects, while the connectivity of the main 3-D target objects in the volume data is still preserved. To improve the volume morphology operations efficiency, we decompose volume data in bitplanes instead of in gray scale space to reduce the binary volumes. To verify the effect of the improved volume morphology operators, they are applied to suppress speckle noises in 3-D images of coral and rat skull and compared with original volume morphology operations. Experimental results show that the algorithm proposed in this paper can significantly reduce computing time, while maintaining comparable results to original operations results.

Crack surface extraction of industrial CT volume data using FPIT and planelet

2011 ◽  
Vol 19 (1) ◽  
pp. 1-12
Author(s):  
Zongjian Li ◽  
Li Zeng ◽  
Xiaobing Zou ◽  
Caibing Xiang
Keyword(s):  
Crack Surface ◽  
Volume Data ◽  
Surface Extraction ◽  
Industrial Ct ◽  
Ct Volume

Evaluation of Scanning Parameters Based on Image Entropy for Dimensional Computed Tomography Metrology

2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Lin Xue ◽  
Hiromasa Suzuki
Keyword(s):  
Computed Tomography ◽  
Measurement Accuracy ◽  
Ct Scanning ◽  
Volume Data ◽  
Dimensional Metrology ◽  
X Ray ◽  
Image Entropy ◽  
Improve Measurement ◽  
Ct Volume

Many types of artifacts appear in X-ray computed tomography (CT) volume data, which influence measurement quality of industrial cone beam X-ray CT. Most of those artifacts are associated to CT scanning parameters; therefore, a good scanning parameter setting can weaken the influence to improve measurement accuracy. This paper presents a simulation method for evaluating CT scanning parameters for dimensional metrology. The method can aid CT metrology to achieve high measurement accuracy. In the method, image entropy is used as a criterion to evaluate the quality of CT volume data. For entropy calculation of CT volume data, a detailed description about bin width and entropy zone is given. The relationship between entropy values of CT volume data and error parameters of CT metrology is shown and discussed. By use of this method, mainly we focus on specimen orientation evaluation, and some other typical scanning parameters are used to evaluate the proposed method. Two typical specimens are used to evaluate the performance of the proposed method.

The Design and Implementation of Parallel Algorithm Accelerator Based on CPU-GPU Collaborative Computing Environment

2012 ◽  
Vol 529 ◽  
pp. 408-412 ◽  
Author(s):  
Fan Yang ◽  
Tong Nian Shi ◽  
Han Chu ◽  
Kun Wang
Keyword(s):  
High Speed ◽  
High Performance ◽  
Programming Model ◽  
Rapid Development ◽  
Collaborative Computing ◽  
Computing Environment ◽  
Internet Applications ◽  
Rich Internet Applications ◽  
Mixed Programming ◽  
Performance Results

With the rapid development of GPU in recent years, CPU-GPU collaborative computing has become an important technique in scientific research. In this paper, we introduce a cluster system design which based on CPU-GPU collaborative computing environment. This system is based on Intel Embedded Star Platform, and we expand a Computing-Node for it by connecting to high-speed network. Through OpenMP and MPI mixed programming, we integrate different algorithms meeting with the scientific computing and application computing by Master/Worker model and a software system which is based on RIA (Rich Internet Applications). In order to achieve high performance, we used a combination of software and hardware technology. The performance results show that the programs built with hybrid programming model have good performance and scalability.

scholarly journals Healthcare Facility Location-Allocation Optimization for China’s Developing Cities Utilizing a Multi-Objective Decision Support Approach

2018 ◽  
Vol 10 (12) ◽  
pp. 4580 ◽  
Author(s):  
Li Wang ◽  
Huan Shi ◽  
Lu Gan
Keyword(s):  
Heuristic Algorithms ◽  
Programming Model ◽  
Rapid Development ◽  
Supply And Demand ◽  
Healthcare Facility ◽  
Allocation Model ◽  
Location Allocation ◽  
Multi Objective ◽  
Conflicting Objectives ◽  
Allocation Problems

With rapid development of the healthcare network, the location-allocation problems of public facilities under increased integration and aggregation needs have been widely researched in China’s developing cites. Since strategic formulation involves multiple conflicting objectives and stakeholders, this paper presents a practicable hierarchical location-allocation model from the perspective of supply and demand to characterize the trade-off between social, economical and environmental factors. Due to the difficulties of rationally describing and the efficient calculation of location-allocation problems as a typical Non-deterministic Polynomial-Hard (NP-hard) problem with uncertainty, there are three crucial challenges for this study: (1) combining continuous location model with discrete potential positions; (2) introducing reasonable multiple conflicting objectives; (3) adapting and modifying appropriate meta-heuristic algorithms. First, we set up a hierarchical programming model, which incorporates four objective functions based on the actual backgrounds. Second, a bi-level multi-objective particle swarm optimization (BLMOPSO) algorithm is designed to deal with the binary location decision and capacity adjustment simultaneously. Finally, a realistic case study contains sixteen patient points with maximum of six open treatment units is tested to validate the availability and applicability of the whole approach. The results demonstrate that the proposed model is suitable to be applied as an extensive planning tool for decision makers (DMs) to generate policies and strategies in healthcare and design other facility projects.

scholarly journals Novel Assistive Device for Tomographic Ultrasound Neck Imaging vs. Freehand

2020 ◽  
Vol 6 (3) ◽  
pp. 28-31
Author(s):  
Marcel Köhler ◽  
Elmer Jeto Gomes Ataide ◽  
Jens Ziegle ◽  
Axel Boese ◽  
Michael Friebe
Keyword(s):  
Computed Tomography ◽  
Image Quality ◽  
Diagnostic Procedures ◽  
Assistive Device ◽  
Volume Data ◽  
Data Set ◽  
Scanning Method ◽  
Neck Area ◽  
2D Ultrasound

AbstractFor assessing clinically relevant structures in the neck area, especially the thyroid, it has been shown that 3D or tomographic ultrasound (3D US or tUS) is able to outperform standard 2D ultrasound [1] and computed tomography [2] for certain diagnostic procedures. However, when using a freehand and unassisted scanning method to acquire a 3D US volume data set in this area overlapping image slices, a variation of the probe angulation or differences in training might lead to unusable scanning results. Based on previous works [3] [4] we propose the design - with subsequent testing - of an assistive device that is able to aid physicians during the tUS scanning process on the neck. To validate the feasibility and efficacy we compared the image quality of both freehand and assisted scanning.

scholarly journals Development of Automatic Visceral Fat Volume Calculation Software for CT Volume Data

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Mitsutaka Nemoto ◽  
Tusufuhan Yeernuer ◽  
Yoshitaka Masutani ◽  
Yukihiro Nomura ◽  
Shouhei Hanaoka ◽  
...  
Keyword(s):  
Visceral Fat ◽  
Whole Body ◽  
Volume Data ◽  
Volume Calculation ◽  
Whole Body Ct ◽  
Experienced Radiologist ◽  
Fat Volume ◽  
Calculation Software ◽  
Body Ct ◽  
Ct Volume

Objective. To develop automatic visceral fat volume calculation software for computed tomography (CT) volume data and to evaluate its feasibility.Methods. A total of 24 sets of whole-body CT volume data and anthropometric measurements were obtained, with three sets for each of four BMI categories (under 20, 20 to 25, 25 to 30, and over 30) in both sexes. True visceral fat volumes were defined on the basis of manual segmentation of the whole-body CT volume data by an experienced radiologist. Software to automatically calculate visceral fat volumes was developed using a region segmentation technique based on morphological analysis with CT value threshold. Automatically calculated visceral fat volumes were evaluated in terms of the correlation coefficient with the true volumes and the error relative to the true volume.Results. Automatic visceral fat volume calculation results of all 24 data sets were obtained successfully and the average calculation time was 252.7 seconds/case. The correlation coefficients between the true visceral fat volume and the automatically calculated visceral fat volume were over 0.999.Conclusions. The newly developed software is feasible for calculating visceral fat volumes in a reasonable time and was proved to have high accuracy.

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