Improved reproducibility of regional longitudinal strain in echocardiography by deep learning

被引：0
|
作者：
Nyberg, J. [1 ]
Ostvik, A. [1 ]
Salte, I. M. [2 ]
Olaisen, S. [1 ]
Karlsen, S. [3 ]
Dahlslett, T. [3 ]
Smistad, E. [1 ]
Eriksen-Volnes, T. [4 ]
Brunvand, H. [3 ]
Edvardsen, T. [5 ]
Haugaa, K. H. [5 ]
Lovstakken, L. [1 ]
Dalen, H. [1 ]
Grenne, B. [1 ]
机构：
[1] Norwegian Univ Sci & Technol, Trondheim, Norway
[2] Akershus Univ Hosp, Dept Radiol, Oslo, Norway
[3] Sorlandet Hosp, Dept Med, Arendal, Norway
[4] St Olavs Hosp, Clin Cardiol, Trondheim, Norway
[5] Oslo Univ Hosp, Dept Cardiol, Rikshosp, Oslo, Norway
来源：
EUROPEAN HEART JOURNAL | 2024年 / 45卷
关键词：
D O I：
10.1093/eurheartj/ehae666.031
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页数：2
相关论文
共 50 条
  • [1] Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study
    Salte, Ivar M.
    Ostvik, Andreas
    Olaisen, Sindre H.
    Karlsen, Sigve
    Dahlslett, Thomas
    Smistad, Erik
    Eriksen-Volnes, Torfinn K.
    Brunvand, Harald
    Haugaa, Kristina H.
    Edvardsen, Thor
    Dalen, Havard
    Lovstakken, Lasse
    Grenne, Bjornar
    JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY, 2023, 36 (07) : 788 - 799
  • [2] Intraobserver and Interobserver Reproducibility for Radial, Circumferential and Longitudinal Strain Echocardiography
    Leischik, Roman
    Dworrak, Birgit
    Hensel, Kai O.
    OPEN CARDIOVASCULAR MEDICINE JOURNAL, 2014, 8 : 102 - 109
  • [3] Myocardial strain analysis of echocardiography based on deep learning
    Deng, Yinlong
    Cai, Peiwei
    Zhang, Li
    Cao, Xiongcheng
    Chen, Yequn
    Jiang, Shiyan
    Zhuang, Zhemin
    Wang, Bin
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [4] Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning
    Ostvik, Andreas
    Smistad, Erik
    Espeland, Torvald
    Berg, Erik Andreas Rye
    Lovstakken, Lasse
    DEEP LEARNING IN MEDICAL IMAGE ANALYSIS AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT, DLMIA 2018, 2018, 11045 : 309 - 316
  • [5] The Road to Robust and Automated Strain Measurements in Echocardiography by Deep Learning
    Lovstakken, Lasse
    Grenne, Bjornar
    JACC-CARDIOVASCULAR IMAGING, 2024, 17 (07) : 726 - 728
  • [6] Reproducibility and Interobserver Agreement of Global Longitudinal Strain between Novice and Expert during Dobutamine Stress Echocardiography
    Sathianathan, Daniel
    Yamada, Akira
    Kelly, Natalie
    Chong, Wei-Lynn
    Burstow, Darryl
    Chan, Jonathan
    CIRCULATION, 2011, 124 (21)
  • [7] Longitudinal and radial regional strain obtained from gray-scale conventional echocardiography
    Ledesma-Carbayo, MJ
    Santos, A
    Mahía, P
    Fernández, MAG
    Kybic, J
    Malpica, N
    David, EP
    Desco, M
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2005, 45 (03) : 255A - 255A
  • [8] Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain inEchocardiograpy (vol 36, pg no 788-799, 2023)
    不详
    JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY, 2023, 36 (11) : 1225 - 1225
  • [9] The importance of heart rate on left ventricular global longitudinal strain in echocardiography: novel insights facilitated by automated deep learning methods
    Woelfert, A.
    Dale, A. C.
    Mjolstad, O. C.
    Lovstakken, L.
    Dalen, H.
    Ostvik, A.
    Grenne, B.
    EUROPEAN HEART JOURNAL, 2024, 45
  • [10] dtoolAI: Reproducibility for Deep Learning
    Hartley, Matthew
    Olsson, Tjelvar S. G.
    PATTERNS, 2020, 1 (05):
12345