Understanding Soft-Tissue Behavior for Application to Microlaparoscopic Surface Scan

This paper presents an approach for understanding the soft-tissue behavior in surface contact with a probe scanning the tissue. The application domain is confocal microlaparoscopy, mostly used for imaging the outer surface of the organs in the abdominal cavity. The probe is swept over the tissue to collect sequential images to obtain a large field of view with mosaicking. The problem we address is that the tissue also moves with the probe due to its softness; therefore, the resulting mosaic is not in the same shape and dimension as traversed by the probe. Our approach is inspired by the finger slip studies and adapts the idea of load-slip phenomenon that explains the movement of the soft part of the finger when dragged on a hard surface. We propose the concept of loading-distance and perform measurements on beef liver and chicken breast tissues. We propose a protocol to determine the loading-distance prior to an automated scan and introduce an approach to compensate the tissue movement in raster scans. Our implementation and experiments show that we can have an image mosaic of the tissue surface in a desired rectangular shape with this approach.

[1]  Michael B. Kimmey,et al.  Tethered Capsule Endoscopy, A Low-Cost and High-Performance Alternative Technology for the Screening of Esophageal Cancer and Barrett's Esophagus , 2008, IEEE Transactions on Biomedical Engineering.

[2]  F. Helmchen,et al.  Ultra-compact fiber-optic two-photon microscope for functional fluorescence imaging in vivo. , 2008, Optics express.

[3]  Nicholas Ayache,et al.  Robust mosaicing with correction of motion distortions and tissue deformations for in vivo fibered microscopy , 2006, Medical Image Anal..

[4]  Francois Lacombe,et al.  Real time autonomous video image registration for endomicroscopy: fighting the compromises , 2008, SPIE BiOS.

[5]  John Kenneth Salisbury,et al.  In Vivo Micro-Image Mosaicing , 2011, IEEE Transactions on Biomedical Engineering.

[6]  W. Piyawattanametha,et al.  MEMS-Based Dual-Axes Confocal Microendoscopy , 2010, IEEE Journal of Selected Topics in Quantum Electronics.

[7]  M. Feuerstein,et al.  Navigation in endoscopic soft tissue surgery: perspectives and limitations. , 2008, Journal of endourology.

[8]  Van Anh Ho,et al.  Understanding Slip Perception of Soft Fingertips by Modeling and Simulating Stick-Slip Phenomenon , 2011, Robotics: Science and Systems.

[9]  Doo Yong Lee,et al.  Model of frictional contact with soft tissue for colonoscopy simulator , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[10]  Jérôme Szewczyk,et al.  A practical approach to the design and control of active endoscopes , 2010 .

[11]  Peter Xiaoping Liu,et al.  A New Hybrid Soft Tissue Model for Visio-Haptic Simulation , 2011, IEEE Transactions on Instrumentation and Measurement.

[12]  Guillaume Morel,et al.  Understanding soft tissue behavior for microlaparoscopic surface scan , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Xiufen Ye,et al.  The research of soft tissue deformation based on mass-spring model , 2009, 2009 International Conference on Mechatronics and Automation.

[14]  B. C. Becker,et al.  Semiautomated intraocular laser surgery using handheld instruments , 2010, Lasers in surgery and medicine.

[15]  Eric J Seibel,et al.  Unique features of optical scanning, single fiber endoscopy * ** , 2002, Lasers in surgery and medicine.

[16]  M E Martone,et al.  Automated microscopy system for mosaic acquisition and processing , 2006, Journal of microscopy.

[17]  A Schweikard,et al.  Motorization of a surgical microscope for intra‐operative navigation and intuitive control , 2010, The international journal of medical robotics + computer assisted surgery : MRCAS.

[18]  Ciaran K Simms,et al.  Digital image correlation and finite element modelling as a method to determine mechanical properties of human soft tissue in vivo. , 2009, Journal of biomechanics.

[19]  V Hayward,et al.  Effect of skin hydration on the dynamics of fingertip gripping contact , 2011, Journal of The Royal Society Interface.

[20]  A. Rouse,et al.  Clinical confocal microlaparoscope for real-time in vivo optical biopsies. , 2009, Journal of biomedical optics.

[21]  W. Piyawattanametha,et al.  3-D Near-Infrared Fluorescence Imaging Using an MEMS-Based Miniature Dual-Axis Confocal Microscope , 2009, IEEE Journal of Selected Topics in Quantum Electronics.

[22]  Guang-Zhong Yang,et al.  A Hand-held Instrument to Maintain Steady Tissue Contact during Probe-Based Confocal Laser Endomicroscopy , 2011, IEEE Transactions on Biomedical Engineering.

[23]  Nicholas Ayache,et al.  Towards Optical Biopsies with an Integrated Fibered Confocal Fluorescence Microscope , 2004, MICCAI.

[24]  A. Rouse,et al.  In vivo imaging of ovarian tissue using a novel confocal microlaparoscope. , 2010, American journal of obstetrics and gynecology.

[25]  Jung Kim,et al.  In Vivo Mechanical Behavior of Intra-abdominal Organs , 2006, IEEE Transactions on Biomedical Engineering.

[26]  Tom Vercauteren,et al.  Image registration and mosaicing for dynamic In vivo fibered confocal microscopy : Image Registration and Mosaicing for Dynamic In Vivo Fibered Confocal Microscopy. (Recalage et mosaïques d'images pour la microscopie confocale fibrée dynamique in vivo) , 2008 .

[27]  J. Desai,et al.  Constitutive Modeling of Liver Tissue: Experiment and Theory , 2008, 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[28]  Borivoj Vojnovic,et al.  An Algorithm for image stitching and blending , 2005, SPIE BiOS.

[29]  Angelique Kano,et al.  Design and demonstration of a miniature catheter for a confocal microendoscope. , 2004, Applied optics.

[30]  Guillaume Morel,et al.  Laparoscopic optical biopsies: In vivo robotized mosaicing with probe-based confocal endomicroscopy , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.