Modeling and In Vitro Experimental Validation for Kinetics of the Colonoscope in Colonoscopy

Colonoscopy is the most sensitive and specific means for detection of colon cancers and polyps. To make colonoscopy more effective several problems must be overcome including: pain associated with the procedure, the risk of perforation, and incomplete intubation colonoscopy. Technically, these problems are the result of loop formation during colonoscopy. Although, several solutions such as modifying the stiffness of the colonoscope, using an overtube and developing image-guided instruments have been introduced to resolve the looping problem, the results of these systems are not completely satisfactory. A new paradigm to overcome loop formation is proposed that is doctor-assistive colonoscopy. In this approach, the endoscopists performance is enhanced by providing using a kinetic model that provides information such as the shape of the scope, direction of the colon and forces exerted within certain sections. It is expected that with the help of this model, the endoscopist would be able to adjust the manipulation to avoid loop formation. In the present studies, the kinetic model is developed and validated using an ex vivo colonoscopy test-bed with a comprehensive kinematic and kinetic data collection. The model utilizes an established colon model based on animal tissue with position tracking sensors, contact force sensors for the intraluminal portion of the scope and a Colonoscopy Force Monitor for the external insertion tube.

[1]  Inna Sharf,et al.  Literature survey of contact dynamics modelling , 2002 .

[2]  Wu Bin Cheng,et al.  PREDICATION FOR RELATIVE MOTION OF THE COLONOSCOPE IN COLONOSCOPY , 2013 .

[3]  Sivaruban Kanagaratnam,et al.  OVERVIEW OF UPCOMING ADVANCES IN COLONOSCOPY , 2012, Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society.

[4]  Miran Saje,et al.  The three-dimensional beam theory: Finite element formulation based on curvature , 2001 .

[5]  Min-Hyung Choi,et al.  Fast Volume Preservation for a Mass-Spring System , 2006, IEEE Computer Graphics and Applications.

[6]  Koji Ikuta,et al.  Portable Virtual Endoscope System with Force and Visual Display for Insertion Training , 2000, MICCAI.

[7]  Y. Fung,et al.  Biomechanics: Mechanical Properties of Living Tissues , 1981 .

[8]  F Albermani,et al.  Flexural and torsional rigidity of colonoscopes at room and body temperatures , 2011 .

[9]  Christian Duriez,et al.  Realistic haptic rendering of interacting deformable objects in virtual environments , 2008, IEEE Transactions on Visualization and Computer Graphics.

[10]  M Moser,et al.  Development of autonomous microrobotics in endoscopy , 2011, Journal of medical engineering & technology.

[11]  Koji Ikuta,et al.  Virtual Endoscope System with Force Sensation , 2000 .

[12]  Ettore Pennestrì,et al.  Modeling elastic beams using dynamic splines , 2011 .

[13]  Yannick Remion,et al.  DYNA MIC ANIMATION OF SPLINE LIKE OBJECTS , 1999 .

[14]  Wen Jun Zhang,et al.  Analysis of and mathematical model insight into loop formation in colonoscopy , 2012, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[15]  Armen Sarvazyan,et al.  Characterization of forces applied by endoscopists during colonoscopy by using a wireless colonoscopy force monitor. , 2010, Gastrointestinal endoscopy.

[16]  Laurent Grisoni,et al.  Geometrically exact dynamic splines , 2008, Comput. Aided Des..

[17]  Mikio Shinya,et al.  Theories for Mass-Spring Simulation in Computer Graphics: Stability, Costs and Improvements , 2005, IEICE Trans. Inf. Syst..

[18]  S. Cowin,et al.  Biomechanics: Mechanical Properties of Living Tissues, 2nd ed. , 1994 .

[19]  Stephane Cotin,et al.  Physics-based models for catheter, guidewire and stent simulation. , 2006, Studies in health technology and informatics.

[20]  Jérémie Dequidt,et al.  Towards Interactive Planning of Coil Embolization in Brain Aneurysms , 2009, MICCAI.

[21]  J. Spillmann,et al.  CoRdE: Cosserat rod elements for the dynamic simulation of one-dimensional elastic objects , 2007, SCA '07.

[22]  David Hellier Determination of Colonoscope’s Structural Properties for Interactive Simulation of Colonoscopy , 2010 .

[23]  K. Chinzei,et al.  Constitutive modelling of brain tissue: experiment and theory. , 1997, Journal of biomechanics.

[24]  J. Altenbach,et al.  On generalized Cosserat-type theories of plates and shells: a short review and bibliography , 2010 .

[25]  Frank Tendick,et al.  Adaptive Nonlinear Finite Elements for Deformable Body Simulation Using Dynamic Progressive Meshes , 2001, Comput. Graph. Forum.

[26]  Stephane Cotin,et al.  Interactive Simulation of Flexible Needle Insertions Based on Constraint Models , 2009, MICCAI.

[27]  Paolo Dario,et al.  Modeling and Experimental Validation of the Locomotion of Endoscopic Robots in the Colon , 2004, Int. J. Robotics Res..

[28]  Jian J. Zhang,et al.  Cosserat‐beam‐based dynamic response modelling , 2007, Comput. Animat. Virtual Worlds.

[29]  Kaveh Ghorbanian,et al.  Energy and exergy analyses of an integrated gas turbine thermoacoustic engine , 2011 .

[30]  W. Niessen,et al.  Analytical guide wire motion algorithm for simulation of endovascular interventions , 2003, Medical and Biological Engineering and Computing.