ISSN 1004-4140
CN 11-3017/P
GU Chong, YANG Xin, YAO Li-ping, XUE Hai-hong, SUN Kun. Visibility Histogram Based Transfer Function for 3D Visualization of Heart[J]. CT Theory and Applications, 2013, 22(1): 61-73.
Citation: GU Chong, YANG Xin, YAO Li-ping, XUE Hai-hong, SUN Kun. Visibility Histogram Based Transfer Function for 3D Visualization of Heart[J]. CT Theory and Applications, 2013, 22(1): 61-73.

Visibility Histogram Based Transfer Function for 3D Visualization of Heart

More Information
  • Received Date: August 20, 2012
  • Available Online: December 12, 2022
  • Transfer function is an important tool for direct volume rendering of 3D visualization of heart. However, the complexity of heart structure makes the design of transfer function a difficult task. In this paper, we introduce visibility histogram based transfer function to display the cardiac dual source CT data. We first preprocess the cardiac dual source CT volume data and afterwards explore the transfer function based on visibility histogram. Furthermore, we propose the automatic method to design the transfer function. With these methods, users can highlight the region of interested and even observe more details of cardiac chamber. Finally, we accelerate the calculation and 3D rendering using the technology of CUDA, thus leading to the real-time dynamic display of three-dimensional volume data. The experiments show that the proposed method can effectively remove the ribs, pulmonary veins in cardiac dual source CT data, enhance the myocardial tissue, blood and some internal structures such as the aortic valve, which is of great importance for cardiologists in clinical diagnosis.
  • Related Articles

    [1]LIU Fangtao, LIU Heshi, CHEN Yong, JIANG Jiang, WANG Lingyun, DONG Haipeng, ZHANG Yong, ZHANG Xuan, KONG Deyan, CHANG Rui. Image Quality Assessment for Deep Learning Image Reconstruction Algorithm: A Phantom Study[J]. CT Theory and Applications, 2022, 31(3): 351-356. DOI: 10.15953/j.ctta.2021.061
    [2]FANG Shu, CHEN Linyu, CHEN Yong, DONG Haipeng, WANG Lan, MIN Jihua. Phantom Study on the Influence of CT Model and Tube Voltage on Image Quality[J]. CT Theory and Applications, 2022, 31(3): 345-350. DOI: 10.15953/j.ctta.2021.042
    [3]YANG Zhengjun, ZHANG Ang, CHEN Yong, JIANG Jiang, WANG Lingyun, ZHANG Yong, ZHANG Xuan, QI Xiaofeng. The Effect of Radiation Dose and Tube Potential on Image Quality of CT: A Task-based Image Quality Assessment[J]. CT Theory and Applications, 2022, 31(2): 211-217. DOI: 10.15953/j.ctta.2021.060
    [4]ZENG Bo, LI Liang, CHEN Zhi-qiang. Using IMAGE Data for Observe the Plasma Density Distribution of the Geomagnetic Equatorial Plane[J]. CT Theory and Applications, 2017, 26(1): 1-8. DOI: 10.15953/j.1004-4140.2017.26.01.01
    [5]ZHENG Hai-liang, LI Xing-dong, WANG Zhe, WEI Cun-feng, CHANG Tong. A Practice on Parallel Reconstruction Algorithm of High Resolution Cone Beam Micro-CT Based on NVDIA GPU Graphic Card[J]. CT Theory and Applications, 2014, 23(5): 805-814.
    [7]ZHANG Hai-bo, FU Chuan-ming, CHEN Lun-gang, XU Lin, WANG Kai-hua. Pitch Optimizing Combination of Thoracic and Abdominal CTA Image Quality and Radiation Dose Discussion[J]. CT Theory and Applications, 2012, 21(2): 305-311.
    [8]ZHOU Ze-jun, HU Yong-sheng, GAO Bin, CHAO Hui-ming. Expounding the Pitch,Thickness,Reconstructing Space of Multislice CT and Influencing the Imaging Quality[J]. CT Theory and Applications, 2008, 17(1): 21-26.
    [9]Ming JIANG, Zao-tian ZHANG. Review on POCS Algorithms for Image Reconstruction[J]. CT Theory and Applications, 2003, 12(1): 51-55.
    [10]Wang Ben, Wang Ge. Image Reconstruction Algorithms for Cone-Beam CT[J]. CT Theory and Applications, 2001, 10(2): 1-8.

Catalog

    Article views (1599) PDF downloads (6) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return