FULLY-AUTOMATED CARTILAGE SEGMENTATION FROM MAGNETIC RESONANCE IMAGES OF THE KNEE USING ATLAS AND GRAPH-CUT ALGORITHMS

被引:1
|
作者
Lee, J. -G. [1 ]
Gumus, S. [1 ]
Kwoh, K. C. [1 ]
Bae, K. T. [1 ]
机构
[1] Univ Pittsburgh, Sch Med, Pittsburgh, PA USA
关键词
D O I
10.1016/j.joca.2013.02.489
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
引用
收藏
页码:S238 / S239
页数:2
相关论文
共 50 条
  • [21] AUTOMATED DETECTION OF REFUGEE DWELLINGS FROM SATELLITE IMAGERY USING MULTI-CLASS GRAPH-CUT SEGMENTATION AND SHADOW INFORMATION
    Kucur Ergunay, Serife Seda
    Kahraman, Fatih
    Ates, Hasan Fehmi
    2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2014, : 1591 - 1595
  • [22] Automatic segmentation of the bone and extraction of the bone-cartilage interface from magnetic resonance images of the knee
    Fripp, Jurgen
    Crozier, Stuart
    Warfield, Simon K.
    Ourselin, Sebastien
    PHYSICS IN MEDICINE AND BIOLOGY, 2007, 52 (06): : 1617 - 1631
  • [23] AUTOMATIC MULTI-ATLAS-BASED CARTILAGE SEGMENTATION FROM KNEE MR IMAGES
    Shan, Liang
    Charles, Cecil
    Niethammer, Marc
    2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2012, : 1028 - 1031
  • [24] Automatic segmentation of point clouds from multi-view reconstruction using graph-cut
    Rongjiang Pan
    Gabriel Taubin
    The Visual Computer, 2016, 32 : 601 - 609
  • [25] Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping
    Sona Ghadimi
    Daniel A. Auger
    Xue Feng
    Changyu Sun
    Craig H. Meyer
    Kenneth C. Bilchick
    Jie Jane Cao
    Andrew D. Scott
    John N. Oshinski
    Daniel B. Ennis
    Frederick H. Epstein
    Journal of Cardiovascular Magnetic Resonance, 23
  • [26] Patch Attention U-Net for knee cartilage segmentation in magnetic resonance images
    Wang, Xiang
    Shi, Cao
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2025, 106
  • [27] Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping
    Ghadimi, Sona
    Auger, Daniel A.
    Feng, Xue
    Sun, Changyu
    Meyer, Craig H.
    Bilchick, Kenneth C.
    Cao, Jie Jane
    Scott, Andrew D.
    Oshinski, John N.
    Ennis, Daniel B.
    Epstein, Frederick H.
    JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, 2021, 23 (01)
  • [28] Automatic segmentation of point clouds from multi-view reconstruction using graph-cut
    Pan, Rongjiang
    Taubin, Gabriel
    VISUAL COMPUTER, 2016, 32 (05): : 601 - 609
  • [29] Fully-automated segmentation of muscle and inter-/intra-muscular fat from magnetic resonance images of calves and thighs: an open-source workflow in Python
    Kenneth Tam
    Si Wen Liu
    Sarah Costa
    Eva Szabo
    Shannon Reitsma
    Hana Gillick
    Jonathan D. Adachi
    Andy Kin On Wong
    Skeletal Muscle, 14 (1)
  • [30] DEVELOPMENT OF A FULLY AUTOMATED SYSTEM FOR THE QUANTIFICATION OF HUMAN KNEE OSTEOARTHRITIC SYNOVIAL FLUID USING MAGNETIC RESONANCE IMAGES
    Li, W.
    Abram, F.
    Dorais, M.
    Raynauld, J. -P.
    Pelletier, J. -P.
    Martel-Pelletier, J.
    OSTEOPOROSIS INTERNATIONAL, 2009, 20 : 35 - 35