Fully automated segmentation of whole breast using dynamic programming in dynamic contrast enhanced MR images

被引:0
|
作者
Jiang, Luan [1 ,2 ]
Hu, Xiaoxin [3 ]
Xiao, Qin [3 ]
Gu, Yajia [3 ]
Li, Qiang [1 ,2 ]
机构
[1] Center for Advanced Medical Imaging Technology, Division of Life Sciences, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No. 99 Haike Road, Shanghai,201210, China
[2] Cooperate Research Center, Shanghai United Imaging Healthcare Co., Ltd., No. 2258 Chengbei Road, Shanghai,201807, China
[3] Department of Radiology, Shanghai Cancer Hospital of FuDan University, No. 270 DongAn Road, Shanghai,200032, China
来源
Medical Physics | 2017年 / 44卷 / 06期
关键词
461.1 Biomedical Engineering - 701.2 Magnetism: Basic Concepts and Phenomena - 731 Automatic Control Principles and Applications - 746 Imaging Techniques - 914.1 Accidents and Accident Prevention - 921.5 Optimization Techniques;
D O I
暂无
中图分类号
学科分类号
摘要
46
引用
收藏
页码:2400 / 2414
相关论文
共 50 条
  • [1] Fully automated segmentation of whole breast using dynamic programming in dynamic contrast enhanced MR images
    Jiang, Luan
    Hu, Xiaoxin
    Xiao, Qin
    Gu, Yajia
    Li, Qiang
    MEDICAL PHYSICS, 2017, 44 (06) : 2400 - 2414
  • [2] Fully automated segmentation of whole breast in MR images by use of dynamic programming
    Jiang, Luan
    Lian, Yanyun
    Gu, Yajia
    Hu, Xiaoxin
    Li, Qiang
    MEDICAL IMAGING 2014: COMPUTER-AIDED DIAGNOSIS, 2014, 9035
  • [3] A technique for fully automated segmentation of breast tumors using dynamic contrast-enhanced MR images (WIP)
    Parakkal, R
    Burnside, B
    Kelcz, F
    Fain, S
    MEDICAL PHYSICS, 2003, 30 (06) : 1368 - 1368
  • [4] Automated Breast Segmentation of Fat and Water MR Images Using Dynamic Programming
    Rosado-Toro, Jose A.
    Barr, Tomoe
    Galons, Jean-Philippe
    Marron, Marilyn T.
    Stopeck, Alison
    Thomson, Cynthia
    Thompson, Patricia
    Carroll, Danielle
    Wolf, Eszter
    Altbach, Maria I.
    Rodriguez, Jeffrey J.
    ACADEMIC RADIOLOGY, 2015, 22 (02) : 139 - 148
  • [5] Segmentation of whole breast and fibroglandular tissue using nnU-Net in dynamic contrast enhanced MR images
    Huo, Lu
    Hu, Xiaoxin
    Xiao, Qin
    Gu, Yajia
    Chu, Xu
    Jiang, Luan
    MAGNETIC RESONANCE IMAGING, 2021, 82 : 31 - 41
  • [6] Segmentation and classification of breast tumor using dynamic contrast-enhanced MR images
    Zheng, Yuanjie
    Baloch, Sajjad
    Englander, Sarah
    Schnall, Mitchell D.
    Shen, Dinggang
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION- MICCAI 2007, PT 2, PROCEEDINGS, 2007, 4792 : 393 - +
  • [7] Fully automated segmentation of left ventricle using dual dynamic programming in cardiac cine MR images
    Jiang, Luan
    Ling, Shan
    Li, Qiang
    MEDICAL IMAGING 2016: COMPUTER-AIDED DIAGNOSIS, 2015, 9785
  • [8] Segmentation of suspicious lesions in dynamic, contrast-enhanced breast MR images
    Buelow, Thomas
    Meinel, Lina Arbash
    Wiemker, Rafael
    Kose, Ursula
    Shimauchi, Akiko
    Newstead, Gillian
    MEDICAL IMAGING 2007: COMPUTER-AIDED DIAGNOSIS, PTS 1 AND 2, 2007, 6514
  • [9] Robust Segmentation of Mass-lesions in Contrast-Enhanced Dynamic Breast MR Images
    Meinel, Lina A.
    Buelow, Thomas
    Huo, Dezheng
    Shimauchi, Akiko
    Kose, Ursula
    Buurman, Johannes
    Newstead, Gillian
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2010, 32 (01) : 110 - 119
  • [10] Interactive lesion segmentation on Dynamic Contrast Enhanced breast MR using a Markov model
    Wu, Qiu
    Salganicoff, Marcos
    Krishnan, Arun
    Fussell, Donald S.
    Markey, Mia K.
    MEDICAL IMAGING 2006: IMAGE PROCESSING, PTS 1-3, 2006, 6144