Paper Info
Title
Using statistical shape analysis for the determination of uterine deformation states during hydrometra.
Abstract
A fundamental prerequisite of hysteroscopy is the proper distension of the uterine cavity with a fluid, also known as hydrometra. For a virtual reality based simulation of hysteroscopy, the uterus deformation process due to different pressure settings has to be modeled. In previous work we have introduced a hybrid method, which relies on precomputed deformation states to derive the hydrometra changes during runtime. However, new offline computations were necessary for every newly introduced organ mesh. This is not viable if a new surgical scene is to be generated for every training session. Therefore, we include the deformation states during hydrometra into our previously developed statistical shape model for undeformed organ instances. This allows deriving the hydrometra steps together with new undeformed uterus meshes. These can then be used during the interactive simulation for predicting uterus deformation without time-intensive precomputation steps.
Year
DOI
Venue
2007
10.1007/978-3-540-75759-7_104
MICCAI (2)
Keywords
Field
DocType
statistical shape analysis,new surgical scene,new undeformed uterus mesh,hydrometra change,uterine deformation state,interactive simulation,new offline computation,precomputed deformation state,uterus deformation process,deformation state,hydrometra step,uterus deformation,virtual reality
Computer vision,Polygon mesh,Precomputation,Statistical shape analysis,Computer science,Interactive simulation,Uterine cavity,Artificial intelligence,Deformation (mechanics),Triangle mesh,Computation
Conference
Volume
Issue
ISSN
10
Pt 2
0302-9743
ISBN
Citations 
PageRank 
3-540-75758-9
3
0.38
References 
Authors
7
2
Name
Order
Citations
PageRank
Matthias Harders11187.85
Gábor Székely21417.94