ISSN 1004-4140
CN 11-3017/P
MA Yan-xin, GAO Li-yuan, YANG Yue-e, LIU Ying, BI Chun-long. Clinical Value of MSCT in Judging Hypertension by Kidney Arterial Imaging[J]. CT Theory and Applications, 2005, 14(2): 50-53.
Citation: MA Yan-xin, GAO Li-yuan, YANG Yue-e, LIU Ying, BI Chun-long. Clinical Value of MSCT in Judging Hypertension by Kidney Arterial Imaging[J]. CT Theory and Applications, 2005, 14(2): 50-53.

Clinical Value of MSCT in Judging Hypertension by Kidney Arterial Imaging

More Information
  • Received Date: March 07, 2005
  • Available Online: December 28, 2022
  • Purpose: To evaluate the clinical value in judging kidney blood vessel hypertension by Kidney angiography using MSCT. Method: To test 157 hypertension patients through the kidney arterial imaging by using of multi-slice CT(MSCT) with 3D imaging methods: SSD, MTP, VR, MPVR. Result: 157 patients all were acquired the more satisfied kidney artery CTA images, showing the kidney artery stem block and its branches clearly. Conclusion: MSCT kidney arterial CTA can replace DSA sufficiently, as a safe and economical judging method, and will be the best choice to examine the patient who have narrow kidney arterial.
  • Related Articles

    [1]HE Yu, WANG Chengxiang, YU Wei. Industrial Computed Tomography Image Denoising Network Based on Channel Attention Mechanism[J]. CT Theory and Applications, 2025, 34(4): 543-550. DOI: 10.15953/j.ctta.2025.068
    [2]LIU Zhichao, XU Zhiwen, ZHAO Sai, ZHANG Youxin, NIE Cong, LEI Ziqiao. Deep Learning Computer-aided Diagnostic Model for Non-small Cell Lung Cancer Based on Convolutional Neural Network and Attention Mechanism[J]. CT Theory and Applications. DOI: 10.15953/j.ctta.2025.020
    [3]Wu Songwen, Fang Chenyun, Qiao Zhiwei. Enhanced Restormer for Low-Dose CT Image Reconstruction Based on Multi-Attention Fusion[J]. CT Theory and Applications. DOI: 10.15953/j.ctta.2025.052
    [4]TANG Binghang, WANG Yanfang, MA Li, CHEN Qingwu, SHAO Liwei, HUANG Dehuang. False Positive Reduction of Pulmonary Nodules Based on Mixed Attentional Mechanism[J]. CT Theory and Applications, 2022, 31(1): 63-72. DOI: 10.15953/j.ctta.2021.002
    [5]DONG Xiaoying, CHEN Ping. Segmentation of Liver Tumors Based on Bottleneck Residual Attention Mechanism U-net[J]. CT Theory and Applications, 2021, 30(6): 661-670. DOI: 10.15953/j.1004-4140.2021.30.06.01
    [6]WEI Dongxu, YAN Lihua, SHI Junqiang. COVID-19 Deep Learning Diagnosis Method Based on Attention Mechanism and Transfer Learning[J]. CT Theory and Applications, 2021, 30(4): 477-486. DOI: 10.15953/j.1004-4140.2021.30.04.08
    [7]RUAN Jian, CHEN Ping, PAN Jin-xiao. A Kind of Segmentation Method for CT Image[J]. CT Theory and Applications, 2010, 19(1): 56-61.
    [8]HU Liang, DONG Fang, LI Bo-lin, LI Ming, CHEN Hao, WANG Yuan, ZHANG Cheng-xin, XU Zhou. Fast Image Segmentation Based on Chaotic Particle Swarm and Two-Dimension Otsu Method[J]. CT Theory and Applications, 2009, 18(1): 29-34.
    [9]WEI Hong-li, YU Xin-bo, ZHAO Wen-cang, GAO Yan-chen. The Medical Image Threshold Value Segmentation Algorithm Study Based on Multi-Wavelet Analysis[J]. CT Theory and Applications, 2009, 18(1): 8-15.
    [10]LI Zheng-rong, LIU Xiao-ping, LI Zi-yuan, DING Hou-ben. Research of the Method for Multi-threshold Value in Image Segmentation[J]. CT Theory and Applications, 2006, 15(4): 13-17.

Catalog

    Article views (570) PDF downloads (4) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return