VASCULAR NETWORK SEMI-AUTOMATIC SEGMENTATION Using Computed Tomography Angiography

被引:0
|
作者
Maule, Petr [1 ]
Polivka, Jiri [1 ]
Kleckova, Jana [1 ]
机构
[1] Univ West Bohemia, Dept Informat, Plzen, Czech Republic
关键词
Vascular Network Segmentation; Computed Tomography Segmentation; Portal Vein; Mesh Exporting;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The article describes simple and straightforward method for vascular network segmentation of computed tomography examinations. Proposed method is shown step by step with illustrations on liver's portal vein segmentation. There is also described method of creating and exporting mesh and simple way of its visualization which is possible also from a web-browser. The method was developed to provide satisfactory results in a short time and is supposed to be used as geometry input for mathematical models.
引用
收藏
页码:323 / 326
页数:4
相关论文
共 50 条
  • [1] A Semi-Automatic Segmentation Method for the Structural Analysis of Carotid Atherosclerotic Plaques by Computed Tomography Angiography
    dos Santos, Florentino Luciano Caetano
    Joutsen, Atte
    Terada, Mitsugu
    Salenius, Juha
    Eskola, Hannu
    JOURNAL OF ATHEROSCLEROSIS AND THROMBOSIS, 2014, 21 (09) : 930 - 940
  • [2] Semi-automatic active contour approach to segmentation of computed tomography volumes
    Loncaric, S
    Kovacevic, D
    Sorantin, E
    MEDICAL IMAGING 2000: IMAGE PROCESSING, PTS 1 AND 2, 2000, 3979 : 917 - 924
  • [3] Semi-automatic coronary artery centerline extraction in computed tomography angiography data
    Metz, Coert
    Schaap, Michiel
    van der Giessen, Alina
    van Walsum, Theo
    Niessen, Wiro
    2007 4TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING : MACRO TO NANO, VOLS 1-3, 2007, : 856 - +
  • [4] Semi-automatic segmentation and surface reconstruction of computed tomography images by using rotoscoping and warping techniques
    Park, S. K.
    Kim, B. K.
    Shin, D. S.
    FOLIA MORPHOLOGICA, 2020, 79 (01) : 156 - 161
  • [5] Survey Of Semi-Automatic Segmentation Tools For Computed Tomography Lung Nodule Assessment
    Uthoff, J.
    Dilger, S. K. N.
    Sieren, J. C.
    Koehn, N.
    De Stefano, F. A.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2016, 193
  • [6] Semi-Automatic Segmentation of Apical Lesions in Cone Beam Computed Tomography Images
    Yilmaz, Ercument
    Kayikcioglu, Temel
    Kayipmaz, Saadettin
    2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [7] Semi-automatic 3D segmentation of carotid lumen in contrast-enhanced computed tomography angiography images
    Hemmati, Hamidreza
    Kamli-Asl, Alireza
    Talebpour, Alireza
    Shirani, Shapour
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2015, 31 (08): : 1098 - 1104
  • [8] A semi-automatic method for vascular image segmentation
    School of Biology, Hunan University, Changsha, China
    不详
    Proc. - Int. Conf. Image Graph., ICIG, (3-7):
  • [9] Semi-automatic segmentation of subcutaneous tumours from micro-computed tomography images
    Ali, Rehan
    Gunduz-Demir, Cigdem
    Szilagyi, Tuende
    Durkee, Ben
    Graves, Edward E.
    PHYSICS IN MEDICINE AND BIOLOGY, 2013, 58 (22): : 8007 - 8019
  • [10] Robust semi-automatic segmentation of pulmonary subsolid nodules in chest computed tomography scans
    Lassen, B. C.
    Jacobs, C.
    Kuhnigk, J-M
    van Ginneken, B.
    van Rikxoort, E. M.
    PHYSICS IN MEDICINE AND BIOLOGY, 2015, 60 (03): : 1307 - 1323