Multi-axis stiffness sensing device for medical palpation

This paper presents an innovative hand-held device able to compute stiffness when interacting with a soft object. The device is composed of four linear indenters and a USB camera. The stiffness is computed in real-time, tracking the movements of spherical features in the image of the camera. Those movements relate to the movements of the four indenters when interacting with a soft surface. Since the indenters are connected to springs with different spring constants, the displacement of the indenters varies when interacting with a soft object. The proposed multi-indenting device allows measuring the object's stiffness as well as the pan and tilt angles between the sensor and the surface of the soft object. Tests were performed to evaluate the accuracy of the proposed palpation mechanism against commercial springs of known stiffness. Results show that the accuracy and sensitivity of the proposed device increases with the softness of the examined object. Preliminary tests with silicon show the ability of the sensing mechanism to characterize phantom soft tissue for small indentation. It is noted that the results are not affected by the orientation of the device when probing the surface. The proposed sensing device can be used in different applications, such as external palpation for diagnosis or, if miniaturized, embedded on an endoscopic camera and used in Minimally Invasive Surgery (MIS).

[1]  Nigel W. John,et al.  The Role of Haptics in Medical Training Simulators: A Survey of the State of the Art , 2011, IEEE Transactions on Haptics.

[2]  Bernhard Kübler,et al.  Prototype of Instrument for Minimally Invasive Surgery with 6-Axis Force Sensing Capability , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[3]  Christian Laugier,et al.  Towards a Realistic Medical Simulator using Virtual Environments and Haptic Interaction , 2001, ISRR.

[4]  Kaspar Althoefer,et al.  Endoscopic add-on stiffness probe for real-time soft surface characterisation in MIS , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  H. Gharib,et al.  Solitary thyroid nodule. Comparison between palpation and ultrasonography. , 1995, Archives of internal medicine.

[6]  A. Erdman,et al.  Novel MEMS stiffness sensor for in-vivo tissue characterization measurement , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  Armando Manduca,et al.  Magnetic resonance elastography with a phased‐array acoustic driver system , 2009, Magnetic resonance in medicine.

[8]  Chou-Ching K. Lin,et al.  Development of Soft Tissue Stiffness Measuring Device for Minimally Invasive Surgery by using Sensing Cum Actuating Method , 2009 .

[9]  Georges-Pascal Haber,et al.  Novel robotic da Vinci instruments for laparoendoscopic single-site surgery. , 2010, Urology.

[10]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[11]  B. Hannaford,et al.  Force controlled and teleoperated endoscopic grasper for minimally invasive surgery-experimental performance evaluation , 1999, IEEE Transactions on Biomedical Engineering.

[12]  Kaspar Althoefer,et al.  Rolling Indentation Probe for Tissue Abnormality Identification During Minimally Invasive Surgery , 2011, IEEE Transactions on Robotics.

[13]  H. Gharib,et al.  Solitary thyroid nodule. Comparison between palpation and ultrasonography. , 1995 .

[14]  Kaspar Althoefer,et al.  Novel uniaxial force sensor based on visual information for minimally invasive surgery , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

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

[16]  A. Advincula,et al.  Evolving role and current state of robotics in minimally invasive gynecologic surgery. , 2009, Journal of minimally invasive gynecology.

[17]  Sayyed Mohsen Hosseini,et al.  A medical tactile sensing instrument for detecting embedded objects, with specific application for breast examination , 2009, The international journal of medical robotics + computer assisted surgery : MRCAS.

[18]  J. Jakimowicz,et al.  Ergonomic problems encountered by the medical team related to products used for minimally invasive surgery , 2003, Surgical Endoscopy And Other Interventional Techniques.

[19]  A. Manduca,et al.  Magnetic resonance elastography by direct visualization of propagating acoustic strain waves. , 1995, Science.

[20]  Armen P. Sarvazyan,et al.  Mechanical imaging: : A new technology for medical diagnostics , 1998, Int. J. Medical Informatics.

[21]  J.M.A. Lenihan,et al.  Biomechanics — Mechanical properties of living tissue , 1982 .

[22]  Manolis I. A. Lourakis A Brief Description of the Levenberg-Marquardt Algorithm Implemented by levmar , 2005 .

[23]  Melissa M. Hudson,et al.  Systematic Review: Surveillance for Breast Cancer in Women Treated With Chest Radiation for Childhood, Adolescent, or Young Adult Cancer , 2010, Annals of Internal Medicine.

[24]  Kaspar Althoefer,et al.  Rolling Mechanical Imaging for Tissue Abnormality Localization During Minimally Invasive Surgery , 2010, IEEE Transactions on Biomedical Engineering.

[25]  J. Dai,et al.  An indentation depth—force sensing wheeled probe for abnormality identification during minimally invasive surgery , 2010, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.