Literature DB >> 12946469

Truth cube: establishing physical standards for soft tissue simulation.

Amy E Kerdok1, Stephane M Cotin, Mark P Ottensmeyer, Anna M Galea, Robert D Howe, Steven L Dawson.   

Abstract

Accurate real-time models of soft tissue behavior are key elements in medical simulation systems. The need for fast computation in these simulations, however, often requires simplifications that limit deformation accuracy. Validation of these simplified models remains a challenge. Currently, real-time modeling is at best validated against finite element models that have their own intrinsic limitations. This study develops a physical standard to validate real-time soft tissue deformation models. We took CT images of a cube of silicone rubber with a pattern of embedded Teflon spheres that underwent uniaxial compression and spherical indentation tests. The known material properties, geometry and controlled boundary conditions resulted in a complete set of volumetric displacement data. The results were compared to a finite element model analysis of identical situations. This work has served as a proof of concept for a robust physical standard for use in validating soft tissue models. A web site has been created to provide access to our database: http://biorobotics.harvard.edu/truthcube/ (soon to be http://www.truthcube.org).

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Year:  2003        PMID: 12946469     DOI: 10.1016/s1361-8415(03)00008-2

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  9 in total

1.  Estimation of Soft Tissue Mechanical Parameters from Robotic Manipulation Data.

Authors:  Pasu Boonvisut; Russell Jackson; M Cenk Cavuşoğlu
Journal:  IEEE Int Conf Robot Autom       Date:  2012-12-31

2.  Soft tissue modelling through autowaves for surgery simulation.

Authors:  Yongmin Zhong; Bijan Shirinzadeh; Gursel Alici; Julian Smith
Journal:  Med Biol Eng Comput       Date:  2006-08-04       Impact factor: 2.602

3.  Estimation of three-dimensional intrinsic dosimetric uncertainties resulting from using deformable image registration for dose mapping.

Authors:  Francisco J Salguero; Nahla K Saleh-Sayah; Chenyu Yan; Jeffrey V Siebers
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

4.  Identification and Active Exploration of Deformable Object Boundary Constraints through Robotic Manipulation.

Authors:  Pasu Boonvisut; M Cenk Cavusoglu
Journal:  Int J Rob Res       Date:  2014-09       Impact factor: 4.703

5.  Modeling of Tool-Tissue Interactions for Computer-Based Surgical Simulation: A Literature Review.

Authors:  Sarthak Misra; K T Ramesh; Allison M Okamura
Journal:  Presence (Camb)       Date:  2008-10-01

6.  Localized harmonic motion imaging for focused ultrasound surgery targeting.

Authors:  Laura Curiel; Kullervo Hynynen
Journal:  Ultrasound Med Biol       Date:  2011-06-16       Impact factor: 2.998

7.  Characterization of aortic tissue cutting process: experimental investigation using porcine ascending aorta.

Authors:  Zhongwei Hu; Wei Sun; Bi Zhang
Journal:  J Mech Behav Biomed Mater       Date:  2012-11-07

8.  Estimation of Soft Tissue Mechanical Parameters from Robotic Manipulation Data.

Authors:  Pasu Boonvisut; M Cenk Cavuşoğlu
Journal:  IEEE ASME Trans Mechatron       Date:  2013-10-01       Impact factor: 5.303

9.  Using patient-specific phantoms to evaluate deformable image registration algorithms for adaptive radiation therapy.

Authors:  Nick Stanley; Carri Glide-Hurst; Jinkoo Kim; Jeffrey Adams; Shunshan Li; Ning Wen; Indrin J Chetty; Hualiang Zhong
Journal:  J Appl Clin Med Phys       Date:  2013-11-04       Impact factor: 2.102

  9 in total

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