An interactive real time segmentation method for 3D medical image

被引：1
|
作者：
Dong jian yuan [1 ]
Qi min [1 ]
Wang yi [1 ]
Hao chong yang [1 ]
机构：
[1] NorthWestern Polytech Univ, Dept Elect Informat Engn, Xian, Peoples R China
来源：
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON IMAGE AND GRAPHICS | 2007年
关键词：
deformable model; level set method; fast marching; 3D segmentation; medical imaging;
D O I：
10.1109/ICIG.2007.66
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper an interactive real time 3D segmentation method is. presented Not as the usual slice by slice segmentation in 2D, we perform volumetric segmentation:on the 3D image directly, by the extention of fast marching algorithm to 3D. The key steps that set seed points, and construct velocity in the fast marching method are put forward. Then 3D segmentation results are. show in various anatomical organ (lung, trachea), and the whole segmentation procedure takes only several minutes.
引用
收藏
页码：409 / +
页数：3
相关论文
共 50 条
  • [41] Deformable M-reps for 3D medical image segmentation
    Pizer, SM
    Fletcher, PT
    Joshi, S
    Thall, A
    Chen, JZ
    Fridman, Y
    Fritsch, DS
    Gash, AG
    Glotzer, JM
    Jiroutek, MR
    Lu, CL
    Muller, KE
    Tracton, G
    Yushkevich, P
    Chaney, EL
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2003, 55 (2-3) : 85 - 106
  • [42] 3D Medical Image Segmentation Based on Rough Set Theory
    CHEN Shi-hao
    ChineseJournalofBiomedicalEngineering, 2007, (01) : 39 - 46
  • [43] Large-Kernel Attention for 3D Medical Image Segmentation
    Li, Hao
    Nan, Yang
    Del Ser, Javier
    Yang, Guang
    COGNITIVE COMPUTATION, 2024, 16 (04) : 2063 - 2077
  • [44] FATUnetr:fully attention Transformer for 3D medical image segmentation
    Li, QingFeng
    Tong, Jigang
    Yang, Sen
    Du, Shengzhi
    2024 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, ICMA 2024, 2024, : 1415 - 1419
  • [45] Medical Image Segmentation Based on 3D U-net
    Chen, Silu
    Hu, Guanghao
    Sun, Jun
    2020 19TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES 2020), 2020, : 130 - 133
  • [46] BSANet: High-Performance 3D Medical Image Segmentation
    Huang, Qi
    Su, Jun
    Przystupa, Krzysztof
    Kochan, Orest
    IEEE ACCESS, 2023, 11 : 79213 - 79223
  • [47] Statistical shape models for 3D medical image segmentation: A review
    Heimann, Tobias
    Meinzer, Hans-Peter
    MEDICAL IMAGE ANALYSIS, 2009, 13 (04) : 543 - 563
  • [48] Accelerating 3D Medical Image Segmentation with High Performance Computing
    Lenkiewicz, Przemyslaw
    Pereira, Manuela
    Freire, Mario
    Fernandes, Jose
    2008 FIRST INTERNATIONAL WORKSHOPS ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA), 2008, : 312 - +
  • [49] Real-Time Interactive 3D Tumor Segmentation Using a Fast Level-Set Algorithm
    Wang, Chunliang
    Dahlstrom, Nils
    Fransson, Sven-Goran
    Lundstrom, Claes
    Smedby, Orjan
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2015, 5 (08) : 1998 - 2002
  • [50] Deformable M-Reps for 3D Medical Image Segmentation
    Stephen M. Pizer
    P. Thomas Fletcher
    Sarang Joshi
    Andrew Thall
    James Z. Chen
    Yonatan Fridman
    Daniel S. Fritsch
    A. Graham Gash
    John M. Glotzer
    Michael R. Jiroutek
    Conglin Lu
    Keith E. Muller
    Gregg Tracton
    Paul Yushkevich
    Edward L. Chaney
    International Journal of Computer Vision, 2003, 55 : 85 - 106
12345