Automatic Quantification and 3D Visualisation of Edema in Cardiac MRI

被引:0
|
作者
Kadir, Kushsairy [1 ,2 ]
Gao, Hao [1 ]
Payne, Alex [3 ]
Soraghan, John [1 ]
Berry, Colin [3 ]
机构
[1] Univ Strathclyde, Ctr Excellence Signal & Image Proct, Dept Elect & Elect, Glasgow G1 1XW, Lanark, Scotland
[2] UniKL BMI, Dept Elect Engn, Selangor 53100, Malaysia
[3] Univ Glasgow, BHF Cardiovascular Res Ctr, Fac Med, Glasgow G12 8QQ, Lanark, Scotland
关键词
MYOCARDIAL-INFARCTION; DELAYED ENHANCEMENT;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Viability assessment of heart muscle after a myocardial infarction is an important step for diagnosis and therapy planning. It is important to quantify the area of edema because it can differentiate between viable and death myocardial tissues. In this paper an automatic method to quantify cardiac edema is presented. The method is based on a combination of morphological operations and statistical thresholding. Using real MRI data it is demonstrated that the proposed method can delineate edema region comparable to manual segmentation with a linear correlation coefficient r=0.76 and the mean difference is around 9.95%. The quantification result is also used to generate 3D visualisation model showing normal myocardial wall and edema region, which will enhance clinician diagnosis capability with real pattern of edema distribution and quantitative description.
引用
收藏
页码:8021 / 8024
页数:4
相关论文
共 50 条
  • [21] 3D Printing for Mathematical Visualisation
    Segerman, Henry
    MATHEMATICAL INTELLIGENCER, 2012, 34 (04): : 56 - 62
  • [22] Leg Edema Quantification for Heart Failure Patients via 3D Imaging
    Hayn, Dieter
    Fruhwald, Friedrich
    Riedel, Arthur
    Falgenhauer, Markus
    Schreier, Guenter
    SENSORS, 2013, 13 (08): : 10584 - 10598
  • [23] Oblique 3D MRI tags for the estimation of true 3D cardiac motion parameters
    Shimizu, Yu
    Amano, Akira
    Matsuda, Tetsuya
    INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2010, 26 (08): : 905 - 921
  • [24] Oblique 3D MRI tags for the estimation of true 3D cardiac motion parameters
    Yu Shimizu
    Akira Amano
    Tetsuya Matsuda
    The International Journal of Cardiovascular Imaging, 2010, 26 : 905 - 921
  • [25] A NOVEL 3D SLICER MODULE FOR AUTOMATIC PELVIC FLOOR MEASUREMENT AND 3D RECONSTRUCTION WITH MRI
    Liang, Z.
    Feng, F.
    Ashton-Miller, J. A.
    DeLancey, J. O. L.
    Luo, J.
    INTERNATIONAL UROGYNECOLOGY JOURNAL, 2019, 30 : S291 - S291
  • [26] CPS-based fully automatic cardiac left ventricle and left atrium segmentation in 3D MRI
    Ahmad, Ibtihaj
    Hussain, Farhan
    Khan, Shoab Ahmad
    Akram, Usman
    Jeon, Gwanggil
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 36 (05) : 4153 - 4164
  • [27] 3D quantification of metal-induced geometric distortions in MRI
    Li, Hao
    Oezen, Ali C.
    Juerchott, Alexander
    Breckwoldt, Michael
    Jesser, Jessica
    Vollherbst, Dominik F.
    Schwarz, Daniel
    Bendszus, Martin
    Heiland, Sabine
    Hilgenfeld, Tim
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [28] Quantification of epicardial fat using 3D cine Dixon MRI
    Markus Henningsson
    Martin Brundin
    Tobias Scheffel
    Carl Edin
    Federica Viola
    Carl-Johan Carlhäll
    BMC Medical Imaging, 20
  • [29] Quantification of epicardial fat using 3D cine Dixon MRI
    Henningsson, Markus
    Brundin, Martin
    Scheffel, Tobias
    Edin, Carl
    Viola, Federica
    Carlhall, Carl-Johan
    BMC MEDICAL IMAGING, 2020, 20 (01)
  • [30] Cultural Visualisation of a Cultural Photographic Collection in 3D Environments - Development of 'PAV 3D' (Photographic Archive Visualisation)
    Lugmayr, Artur
    Greenfeld, Adam
    Woods, Andrew
    Joseph, Pauline
    ENTERTAINMENT COMPUTING - ICEC 2016, 2016, 9926 : 272 - 277