Combining position-based dynamics and gradient vector flow for 4D mitral valve segmentation in TEE sequences

被引:0
|
作者
Lennart Tautz
Lars Walczak
Joachim Georgii
Amer Jazaerli
Katharina Vellguth
Isaac Wamala
Simon Sündermann
Volkmar Falk
Anja Hennemuth
机构
[1] Fraunhofer MEVIS,Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine
[2] Charité - Universitätsmedizin Berlin,Department of Cardiovascular Surgery
[3] Charité - Universitätsmedizin Berlin,Department of Cardiothoracic and Vascular Surgery
[4] German Heart Center Berlin,Department of Health Science and Technology
[5] DZHK (German Centre for Cardiovascular Research),undefined
[6] Swiss Federal Institute of Technology,undefined
关键词
Mitral valve; Segmentation; Tracking; Echocardiography; Position-based dynamics;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:119 / 128
页数:9
相关论文
共 42 条
  • [21] Segmentation of cardiac MR and CT image sequences using model based registration of a 4D statistical model
    Perperidis, Dimitrios
    Mohiaddin, Raad
    Edwards, Philip
    Rueckert, Daniel
    MEDICAL IMAGING 2007: IMAGE PROCESSING, PTS 1-3, 2007, 6512
  • [22] An improved 2D colonic polyp segmentation framework based on gradient vector flow deformable model
    Chen, Dongqing
    Hassouna, M. Sabry
    Farag, Aly A.
    Falk, Robert
    MEDICAL IMAGING AND AUGMENTED REALITY, 2006, 4091 : 372 - 379
  • [23] Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices
    Vitanovski, Dime
    Tsymbal, Alexey
    Ionasec, Razvan Ioan
    Schmidt, Michaela
    Greiser, Andreas
    Mueller, Edgar
    Lu, Xiaoguang
    Funka-Lea, Gareth
    Hornegger, Joachim
    Comaniciu, Dorin
    MACHINE LEARNING IN MEDICAL IMAGING, 2011, 7009 : 282 - +
  • [24] 4D Flow MRI Pressure Mapping in Patients With Bicuspid Aortic Valve: Feasibility Study With Comparison to Pressure Gradient Quantification
    Burns, Fiona
    Garcia, Julio
    Wu, Cody
    Bristow, Michael S.
    Gao, Xuexin
    Heydari, Bobak
    Lydell, Carmen
    Howarth, Andrew G.
    Fedak, Paul
    White, James A.
    CIRCULATION, 2017, 136
  • [25] Axial Position-Based Colorization Improves Intraoperative Visualization of Live Volumetric (4D) Microscope-Integrated Optical Coherence Tomography (MIOCT)
    Bleicher, Isaac
    Jackson-Atogi, Moseph
    Viehland, Christian
    Gabr, Hesham
    Izatt, Joseph A.
    Toth, Cynthia A.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2018, 59 (09)
  • [26] Left ventricular flow dynamics and energetics derived from 4D flow CMR in patients with low gradient severe aortic stenosis
    Wang, Y. S.
    Shan, Y.
    Li, J.
    Wu, B. T.
    Lu, F. W.
    Shu, X. H.
    Ge, J. B.
    EUROPEAN HEART JOURNAL, 2024, 45
  • [27] Left ventricular flow dynamics and energetics derived from 4D flow CMR in patients with low gradient severe aortic stenosis
    Wang, Y. S.
    Shan, Y.
    Li, J.
    Wu, B. T.
    Lu, F. W.
    Shu, X. H.
    Ge, J. B.
    EUROPEAN HEART JOURNAL, 2024, 45
  • [28] Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets
    Barrera-Naranjo, Armando
    Marin-Castrillon, Diana M. M.
    Decourselle, Thomas
    Lin, Siyu
    Leclerc, Sarah
    Morgant, Marie-Catherine
    Bernard, Chloe
    De Oliveira, Shirley
    Boucher, Arnaud
    Presles, Benoit
    Bouchot, Olivier
    Christophe, Jean-Joseph
    Lalande, Alain
    JOURNAL OF IMAGING, 2023, 9 (06)
  • [29] COMBINING 4D MR FLOW EXPERIMENTAL DATA AND COMPUTATIONAL FLUID DYNAMICS TO STUDY THE NEOAORTA IN PATIENTS WITH REPAIRED TRANSPOSITION OF THE GREAT ARTERIES
    Biglino, Giovanni
    Cosentino, Daria
    Castelli, Matteo
    De Nova, Lorenzo
    Ntsinjana, Hopewell N.
    Steeden, Jennifer A.
    Taylor, Andrew M.
    Schievano, Silvia
    PROCEEDINGS OF THE ASME SUMMER BIOENGINEERING CONFERENCE - 2013, PT B, 2014,
  • [30] Accelerated sequences of 4D flow MRI using GRAPPA and compressed sensing: A comparison against conventional MRI and computational fluid dynamics
    Garreau, Morgane
    Puiseux, Thomas
    Toupin, Solenn
    Giese, Daniel
    Mendez, Simon
    Nicoud, Franck
    Moreno, Ramiro
    MAGNETIC RESONANCE IN MEDICINE, 2022, 88 (06) : 2432 - 2446