title: [Quantitative functional evaluation on right ventricle with auto-segmentation and three-dimensional reconstruction].
abstract: The authors first segment the right ventricle regions from the echocardiographics by introducig a seeded region growth algorithm. Then they reconstrunct the three dimensional data field of right ventricle by using rotary scanning interpolation algorithm. And then, the authors propose a layer-by-layer, row-by-row, and voxel-by-voxel approach based on the interpolation results to estimate the volume of right ventricle. Finally, some right ventricle functional parameters such as EDV (End-diastolic volume), ESV (End-systolic volume), and RVEF (Right ventricular ejection fraction) are computed according to the volume results. The volume variation curves of several patients during a cardiac cycle have been successfully plotted out. The obtained results are compared with those from Tomtec medial image workstation. The comparison indicates the proposed approach is practical and meaningful.
authors.affiliation: School of Computer Science, Sichuan University, Chengdu 610065, China. yangliutww@gmail.com
authors.forename: Liu
authors.initials: L
authors.lastname: Yang
authors.forename: Li
authors.initials: L
authors.lastname: Rao
authors.forename: Changqiong
authors.initials: C
authors.lastname: Zheng
authors.forename: Jie
authors.initials: J
authors.lastname: Hu
authors.forename: Jiliu
authors.initials: J
authors.lastname: Zhou
authors.forename: Minghao
authors.initials: M
authors.lastname: Peng
mesh_terms: D000465:Algorithms; D019560:Echocardiography, Three-Dimensional / Q000295:instrumentation / Q000379:methods; D006352:Heart Ventricles / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D018497:Ventricular Dysfunction, Right / Q000000981:diagnostic imaging* / Q000503:physiopathology; D016278:Ventricular Function, Right